id	sid	tid	token	lemma	pos
cana-2475	1	1	paper	paper	NOUN
cana-2475	1	2	title	title	NOUN
cana-2475	1	3	(	(	PUNCT
cana-2475	1	4	use	use	NOUN
cana-2475	1	5	style	style	NOUN
cana-2475	1	6	:	:	PUNCT
cana-2475	1	7	paper	paper	NOUN
cana-2475	1	8	title	title	NOUN
cana-2475	1	9	)	)	PUNCT
cana-2475	1	10	communications	communication	NOUN
cana-2475	1	11	on	on	ADP
cana-2475	1	12	applied	apply	VERB
cana-2475	1	13	nonlinear	nonlinear	ADJ
cana-2475	1	14	analysis	analysis	NOUN
cana-2475	1	15	issn	issn	NOUN
cana-2475	1	16	:	:	PUNCT
cana-2475	1	17	1074	1074	NUM
cana-2475	1	18	-	-	PUNCT
cana-2475	1	19	133x	133x	NUM
cana-2475	1	20	vol	vol	NOUN
cana-2475	1	21	32	32	NUM
cana-2475	1	22	no	no	NOUN
cana-2475	1	23	.	.	PUNCT
cana-2475	2	1	2s	2s	NUM
cana-2475	2	2	(	(	PUNCT
cana-2475	2	3	2025	2025	NUM
cana-2475	2	4	)	)	PUNCT
cana-2475	2	5	466	466	NUM
cana-2475	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	2	7	energy	energy	NOUN
cana-2475	2	8	-	-	PUNCT
cana-2475	2	9	efficient	efficient	ADJ
cana-2475	2	10	data	data	NOUN
cana-2475	2	11	aggregation	aggregation	NOUN
cana-2475	2	12	in	in	ADP
cana-2475	2	13	wireless	wireless	ADJ
cana-2475	2	14	sensor	sensor	NOUN
cana-2475	2	15	networks	network	NOUN
cana-2475	2	16	using	use	VERB
cana-2475	2	17	neural	neural	ADJ
cana-2475	2	18	network	network	NOUN
cana-2475	2	19	-	-	PUNCT
cana-2475	2	20	based	base	VERB
cana-2475	2	21	prediction	prediction	NOUN
cana-2475	2	22	models	model	NOUN
cana-2475	2	23	1	1	NUM
cana-2475	2	24	aruna	aruna	PROPN
cana-2475	2	25	kumari	kumari	PROPN
cana-2475	2	26	,	,	PUNCT
cana-2475	2	27	2	2	NUM
cana-2475	2	28	dr.suraj	dr.suraj	X
cana-2475	2	29	malik	malik	PROPN
cana-2475	2	30	1	1	NUM
cana-2475	2	31	research	research	NOUN
cana-2475	2	32	scholar	scholar	NOUN
cana-2475	2	33	,	,	PUNCT
cana-2475	2	34	department	department	NOUN
cana-2475	2	35	of	of	ADP
cana-2475	2	36	computer	computer	NOUN
cana-2475	2	37	science	science	PROPN
cana-2475	2	38	&	&	CCONJ
cana-2475	2	39	engineering	engineering	PROPN
cana-2475	2	40	,	,	PUNCT
cana-2475	2	41	iimt	iimt	PROPN
cana-2475	2	42	university	university	NOUN
cana-2475	2	43	,	,	PUNCT
cana-2475	2	44	meerut	meerut	PROPN
cana-2475	2	45	,	,	PUNCT
cana-2475	2	46	india	india	PROPN
cana-2475	2	47	2professor	2professor	PROPN
cana-2475	2	48	,	,	PUNCT
cana-2475	2	49	department	department	NOUN
cana-2475	2	50	of	of	ADP
cana-2475	2	51	computer	computer	NOUN
cana-2475	2	52	science	science	PROPN
cana-2475	2	53	&	&	CCONJ
cana-2475	2	54	engineering	engineering	PROPN
cana-2475	2	55	,	,	PUNCT
cana-2475	2	56	iimt	iimt	PROPN
cana-2475	2	57	university	university	NOUN
cana-2475	2	58	,	,	PUNCT
cana-2475	2	59	meerut	meerut	PROPN
cana-2475	2	60	,	,	PUNCT
cana-2475	2	61	india	india	PROPN
cana-2475	2	62	1	1	NUM
cana-2475	2	63	aru88khundiyan@gmail.com	aru88khundiyan@gmail.com	NOUN
cana-2475	2	64	,	,	PUNCT
cana-2475	2	65	2	2	NUM
cana-2475	2	66	surajmalik@iimtindia.net	surajmalik@iimtindia.net	NOUN
cana-2475	2	67	article	article	NOUN
cana-2475	2	68	history	history	NOUN
cana-2475	2	69	:	:	PUNCT
cana-2475	2	70	received	receive	VERB
cana-2475	2	71	:	:	PUNCT
cana-2475	2	72	22	22	NUM
cana-2475	2	73	-	-	SYM
cana-2475	2	74	09	09	NUM
cana-2475	2	75	-	-	PUNCT
cana-2475	2	76	2024	2024	NUM
cana-2475	2	77	revised	revise	VERB
cana-2475	2	78	:	:	PUNCT
cana-2475	2	79	30	30	NUM
cana-2475	2	80	-	-	SYM
cana-2475	2	81	10	10	NUM
cana-2475	2	82	-	-	PUNCT
cana-2475	2	83	2024	2024	NUM
cana-2475	2	84	accepted	accept	VERB
cana-2475	2	85	:	:	PUNCT
cana-2475	2	86	12	12	NUM
cana-2475	2	87	-	-	SYM
cana-2475	2	88	11	11	NUM
cana-2475	2	89	-	-	PUNCT
cana-2475	2	90	2024	2024	NUM
cana-2475	2	91	abstract	abstract	NOUN
cana-2475	2	92	:	:	PUNCT
cana-2475	2	93	in	in	ADP
cana-2475	2	94	this	this	DET
cana-2475	2	95	study	study	NOUN
cana-2475	2	96	,	,	PUNCT
cana-2475	2	97	we	we	PRON
cana-2475	2	98	examine	examine	VERB
cana-2475	2	99	how	how	SCONJ
cana-2475	2	100	neural	neural	ADJ
cana-2475	2	101	networkbased	networkbased	ADJ
cana-2475	2	102	prediction	prediction	NOUN
cana-2475	2	103	models	model	NOUN
cana-2475	2	104	can	can	AUX
cana-2475	2	105	be	be	AUX
cana-2475	2	106	used	use	VERB
cana-2475	2	107	in	in	ADP
cana-2475	2	108	wireless	wireless	ADJ
cana-2475	2	109	sensor	sensor	NOUN
cana-2475	2	110	networks	network	NOUN
cana-2475	2	111	(	(	PUNCT
cana-2475	2	112	wsns	wsns	NOUN
cana-2475	2	113	)	)	PUNCT
cana-2475	2	114	to	to	PART
cana-2475	2	115	build	build	VERB
cana-2475	2	116	energy	energy	NOUN
cana-2475	2	117	-	-	PUNCT
cana-2475	2	118	efficient	efficient	ADJ
cana-2475	2	119	data	data	NOUN
cana-2475	2	120	aggregation	aggregation	NOUN
cana-2475	2	121	strategies	strategy	NOUN
cana-2475	2	122	.	.	PUNCT
cana-2475	3	1	with	with	ADP
cana-2475	3	2	their	their	PRON
cana-2475	3	3	widespread	widespread	ADJ
cana-2475	3	4	use	use	NOUN
cana-2475	3	5	in	in	ADP
cana-2475	3	6	a	a	DET
cana-2475	3	7	variety	variety	NOUN
cana-2475	3	8	of	of	ADP
cana-2475	3	9	applications	application	NOUN
cana-2475	3	10	like	like	ADP
cana-2475	3	11	smart	smart	ADJ
cana-2475	3	12	cities	city	NOUN
cana-2475	3	13	,	,	PUNCT
cana-2475	3	14	health	health	NOUN
cana-2475	3	15	care	care	NOUN
cana-2475	3	16	,	,	PUNCT
cana-2475	3	17	and	and	CCONJ
cana-2475	3	18	environmental	environmental	ADJ
cana-2475	3	19	monitoring	monitoring	NOUN
cana-2475	3	20	,	,	PUNCT
cana-2475	3	21	wsns	wsns	PROPN
cana-2475	3	22	are	be	AUX
cana-2475	3	23	known	know	VERB
cana-2475	3	24	for	for	ADP
cana-2475	3	25	their	their	PRON
cana-2475	3	26	energy	energy	NOUN
cana-2475	3	27	-	-	PUNCT
cana-2475	3	28	related	relate	VERB
cana-2475	3	29	problems	problem	NOUN
cana-2475	3	30	.	.	PUNCT
cana-2475	4	1	this	this	DET
cana-2475	4	2	study	study	NOUN
cana-2475	4	3	's	's	PART
cana-2475	4	4	major	major	ADJ
cana-2475	4	5	goal	goal	NOUN
cana-2475	4	6	is	be	AUX
cana-2475	4	7	to	to	PART
cana-2475	4	8	prolong	prolong	VERB
cana-2475	4	9	sensor	sensor	NOUN
cana-2475	4	10	network	network	NOUN
cana-2475	4	11	lifespans	lifespan	NOUN
cana-2475	4	12	while	while	SCONJ
cana-2475	4	13	preserving	preserve	VERB
cana-2475	4	14	data	datum	NOUN
cana-2475	4	15	communication	communication	NOUN
cana-2475	4	16	accuracy	accuracy	NOUN
cana-2475	4	17	and	and	CCONJ
cana-2475	4	18	dependability	dependability	NOUN
cana-2475	4	19	.	.	PUNCT
cana-2475	5	1	we	we	PRON
cana-2475	5	2	provide	provide	VERB
cana-2475	5	3	a	a	DET
cana-2475	5	4	unique	unique	ADJ
cana-2475	5	5	framework	framework	NOUN
cana-2475	5	6	that	that	PRON
cana-2475	5	7	combines	combine	VERB
cana-2475	5	8	data	data	NOUN
cana-2475	5	9	aggregation	aggregation	NOUN
cana-2475	5	10	techniques	technique	NOUN
cana-2475	5	11	with	with	ADP
cana-2475	5	12	predictive	predictive	ADJ
cana-2475	5	13	modelling	modelling	NOUN
cana-2475	5	14	,	,	PUNCT
cana-2475	5	15	making	make	VERB
cana-2475	5	16	use	use	NOUN
cana-2475	5	17	of	of	ADP
cana-2475	5	18	neural	neural	ADJ
cana-2475	5	19	networks	network	NOUN
cana-2475	5	20	to	to	PART
cana-2475	5	21	predict	predict	VERB
cana-2475	5	22	sensor	sensor	NOUN
cana-2475	5	23	data	datum	NOUN
cana-2475	5	24	and	and	CCONJ
cana-2475	5	25	minimise	minimise	NOUN
cana-2475	5	26	redundant	redundant	ADJ
cana-2475	5	27	transmissions	transmission	NOUN
cana-2475	5	28	.	.	PUNCT
cana-2475	6	1	our	our	PRON
cana-2475	6	2	approach	approach	NOUN
cana-2475	6	3	minimises	minimise	VERB
cana-2475	6	4	energy	energy	NOUN
cana-2475	6	5	consumption	consumption	NOUN
cana-2475	6	6	related	relate	VERB
cana-2475	6	7	to	to	ADP
cana-2475	6	8	data	data	NOUN
cana-2475	6	9	transmission	transmission	NOUN
cana-2475	6	10	,	,	PUNCT
cana-2475	6	11	resulting	result	VERB
cana-2475	6	12	in	in	ADP
cana-2475	6	13	more	more	ADV
cana-2475	6	14	sustainable	sustainable	ADJ
cana-2475	6	15	operation	operation	NOUN
cana-2475	6	16	of	of	ADP
cana-2475	6	17	wsns	wsns	NOUN
cana-2475	6	18	by	by	ADP
cana-2475	6	19	accurately	accurately	ADV
cana-2475	6	20	forecasting	forecast	VERB
cana-2475	6	21	data	data	NOUN
cana-2475	6	22	trends	trend	NOUN
cana-2475	6	23	and	and	CCONJ
cana-2475	6	24	patterns	pattern	NOUN
cana-2475	6	25	.	.	PUNCT
cana-2475	7	1	simulations	simulation	NOUN
cana-2475	7	2	are	be	AUX
cana-2475	7	3	used	use	VERB
cana-2475	7	4	to	to	PART
cana-2475	7	5	assess	assess	VERB
cana-2475	7	6	the	the	DET
cana-2475	7	7	suggested	suggest	VERB
cana-2475	7	8	methodology	methodology	NOUN
cana-2475	7	9	,	,	PUNCT
cana-2475	7	10	and	and	CCONJ
cana-2475	7	11	the	the	DET
cana-2475	7	12	results	result	NOUN
cana-2475	7	13	show	show	VERB
cana-2475	7	14	significant	significant	ADJ
cana-2475	7	15	gains	gain	NOUN
cana-2475	7	16	in	in	ADP
cana-2475	7	17	terms	term	NOUN
cana-2475	7	18	of	of	ADP
cana-2475	7	19	energy	energy	NOUN
cana-2475	7	20	savings	saving	NOUN
cana-2475	7	21	,	,	PUNCT
cana-2475	7	22	network	network	NOUN
cana-2475	7	23	throughput	throughput	NOUN
cana-2475	7	24	,	,	PUNCT
cana-2475	7	25	and	and	CCONJ
cana-2475	7	26	overall	overall	ADJ
cana-2475	7	27	system	system	NOUN
cana-2475	7	28	performance	performance	NOUN
cana-2475	7	29	.	.	PUNCT
cana-2475	8	1	this	this	DET
cana-2475	8	2	work	work	NOUN
cana-2475	8	3	adds	add	VERB
cana-2475	8	4	to	to	ADP
cana-2475	8	5	the	the	DET
cana-2475	8	6	continuing	continue	VERB
cana-2475	8	7	attempts	attempt	NOUN
cana-2475	8	8	to	to	PART
cana-2475	8	9	create	create	VERB
cana-2475	8	10	wsn	wsn	PROPN
cana-2475	8	11	architectures	architecture	NOUN
cana-2475	8	12	that	that	PRON
cana-2475	8	13	are	be	AUX
cana-2475	8	14	more	more	ADV
cana-2475	8	15	intelligent	intelligent	ADJ
cana-2475	8	16	and	and	CCONJ
cana-2475	8	17	effective	effective	ADJ
cana-2475	8	18	and	and	CCONJ
cana-2475	8	19	that	that	PRON
cana-2475	8	20	can	can	AUX
cana-2475	8	21	function	function	VERB
cana-2475	8	22	well	well	ADV
cana-2475	8	23	in	in	ADP
cana-2475	8	24	contexts	context	NOUN
cana-2475	8	25	with	with	ADP
cana-2475	8	26	limited	limited	ADJ
cana-2475	8	27	resources	resource	NOUN
cana-2475	8	28	.	.	PUNCT
cana-2475	9	1	keywords	keyword	NOUN
cana-2475	9	2	:	:	PUNCT
cana-2475	9	3	wireless	wireless	ADJ
cana-2475	9	4	sensor	sensor	NOUN
cana-2475	9	5	networks	network	NOUN
cana-2475	9	6	(	(	PUNCT
cana-2475	9	7	wsns	wsns	NOUN
cana-2475	9	8	)	)	PUNCT
cana-2475	9	9	,	,	PUNCT
cana-2475	9	10	energy	energy	NOUN
cana-2475	9	11	efficiency	efficiency	NOUN
cana-2475	9	12	,	,	PUNCT
cana-2475	9	13	neural	neural	ADJ
cana-2475	9	14	network	network	NOUN
cana-2475	9	15	models	model	NOUN
cana-2475	9	16	,	,	PUNCT
cana-2475	9	17	feedforward	feedforward	NOUN
cana-2475	9	18	neural	neural	ADJ
cana-2475	9	19	networks	network	NOUN
cana-2475	9	20	(	(	PUNCT
cana-2475	9	21	fnn	fnn	PROPN
cana-2475	9	22	)	)	PUNCT
cana-2475	9	23	,	,	PUNCT
cana-2475	9	24	recurrent	recurrent	ADJ
cana-2475	9	25	neural	neural	ADJ
cana-2475	9	26	networks	network	NOUN
cana-2475	9	27	(	(	PUNCT
cana-2475	9	28	rnn	rnn	PROPN
cana-2475	9	29	)	)	PUNCT
cana-2475	9	30	,	,	PUNCT
cana-2475	9	31	long	long	ADJ
cana-2475	9	32	short	short	ADJ
cana-2475	9	33	-	-	PUNCT
cana-2475	9	34	term	term	NOUN
cana-2475	9	35	memory	memory	NOUN
cana-2475	9	36	(	(	PUNCT
cana-2475	9	37	lstm	lstm	NOUN
cana-2475	9	38	)	)	PUNCT
cana-2475	9	39	networks	network	NOUN
cana-2475	9	40	,	,	PUNCT
cana-2475	9	41	convolutional	convolutional	ADJ
cana-2475	9	42	neural	neural	ADJ
cana-2475	9	43	networks	network	NOUN
cana-2475	9	44	(	(	PUNCT
cana-2475	9	45	cnn	cnn	PROPN
cana-2475	9	46	)	)	PUNCT
cana-2475	9	47	.	.	PUNCT
cana-2475	10	1	i.	i.	PROPN
cana-2475	10	2	introduction	introduction	PROPN
cana-2475	10	3	wireless	wireless	PROPN
cana-2475	10	4	sensor	sensor	NOUN
cana-2475	10	5	networks	network	NOUN
cana-2475	10	6	(	(	PUNCT
cana-2475	10	7	wsns	wsns	NOUN
cana-2475	10	8	)	)	PUNCT
cana-2475	10	9	are	be	AUX
cana-2475	10	10	becoming	become	VERB
cana-2475	10	11	a	a	DET
cana-2475	10	12	vital	vital	ADJ
cana-2475	10	13	piece	piece	NOUN
cana-2475	10	14	of	of	ADP
cana-2475	10	15	equipment	equipment	NOUN
cana-2475	10	16	in	in	ADP
cana-2475	10	17	many	many	ADJ
cana-2475	10	18	industries	industry	NOUN
cana-2475	10	19	,	,	PUNCT
cana-2475	10	20	such	such	ADJ
cana-2475	10	21	as	as	ADP
cana-2475	10	22	industrial	industrial	ADJ
cana-2475	10	23	automation	automation	NOUN
cana-2475	10	24	,	,	PUNCT
cana-2475	10	25	smart	smart	ADJ
cana-2475	10	26	cities	city	NOUN
cana-2475	10	27	,	,	PUNCT
cana-2475	10	28	health	health	NOUN
cana-2475	10	29	care	care	NOUN
cana-2475	10	30	,	,	PUNCT
cana-2475	10	31	and	and	CCONJ
cana-2475	10	32	environmental	environmental	ADJ
cana-2475	10	33	monitoring	monitoring	NOUN
cana-2475	10	34	.	.	PUNCT
cana-2475	11	1	these	these	DET
cana-2475	11	2	networks	network	NOUN
cana-2475	11	3	are	be	AUX
cana-2475	11	4	made	make	VERB
cana-2475	11	5	up	up	ADP
cana-2475	11	6	of	of	ADP
cana-2475	11	7	widely	widely	ADV
cana-2475	11	8	dispersed	disperse	VERB
cana-2475	11	9	sensor	sensor	NOUN
cana-2475	11	10	nodes	node	NOUN
cana-2475	11	11	that	that	PRON
cana-2475	11	12	gather	gather	VERB
cana-2475	11	13	information	information	NOUN
cana-2475	11	14	from	from	ADP
cana-2475	11	15	their	their	PRON
cana-2475	11	16	environment	environment	NOUN
cana-2475	11	17	and	and	CCONJ
cana-2475	11	18	send	send	VERB
cana-2475	11	19	it	it	PRON
cana-2475	11	20	to	to	ADP
cana-2475	11	21	a	a	DET
cana-2475	11	22	central	central	ADJ
cana-2475	11	23	processing	processing	NOUN
cana-2475	11	24	unit	unit	NOUN
cana-2475	11	25	for	for	ADP
cana-2475	11	26	examination	examination	NOUN
cana-2475	11	27	.	.	PUNCT
cana-2475	12	1	wsns	wsns	PROPN
cana-2475	12	2	have	have	VERB
cana-2475	12	3	several	several	ADJ
cana-2475	12	4	benefits	benefit	NOUN
cana-2475	12	5	,	,	PUNCT
cana-2475	12	6	but	but	CCONJ
cana-2475	12	7	their	their	PRON
cana-2475	12	8	performance	performance	NOUN
cana-2475	12	9	and	and	CCONJ
cana-2475	12	10	longevity	longevity	NOUN
cana-2475	12	11	are	be	AUX
cana-2475	12	12	severely	severely	ADV
cana-2475	12	13	hampered	hamper	VERB
cana-2475	12	14	by	by	ADP
cana-2475	12	15	their	their	PRON
cana-2475	12	16	frequent	frequent	ADJ
cana-2475	12	17	shortage	shortage	NOUN
cana-2475	12	18	of	of	ADP
cana-2475	12	19	energy	energy	NOUN
cana-2475	12	20	supplies	supply	NOUN
cana-2475	12	21	.	.	PUNCT
cana-2475	13	1	sensor	sensor	NOUN
cana-2475	13	2	data	data	NOUN
cana-2475	13	3	transmission	transmission	NOUN
cana-2475	13	4	in	in	ADP
cana-2475	13	5	real	real	ADJ
cana-2475	13	6	time	time	NOUN
cana-2475	13	7	uses	use	VERB
cana-2475	13	8	a	a	DET
cana-2475	13	9	lot	lot	NOUN
cana-2475	13	10	of	of	ADP
cana-2475	13	11	energy	energy	NOUN
cana-2475	13	12	,	,	PUNCT
cana-2475	13	13	which	which	PRON
cana-2475	13	14	shortens	shorten	VERB
cana-2475	13	15	network	network	NOUN
cana-2475	13	16	lifetimes	lifetime	NOUN
cana-2475	13	17	and	and	CCONJ
cana-2475	13	18	raises	raise	VERB
cana-2475	13	19	operating	operating	NOUN
cana-2475	13	20	expenses	expense	NOUN
cana-2475	13	21	.	.	PUNCT
cana-2475	14	1	in	in	ADP
cana-2475	14	2	this	this	DET
cana-2475	14	3	regard	regard	NOUN
cana-2475	14	4	,	,	PUNCT
cana-2475	14	5	creating	create	VERB
cana-2475	14	6	energy	energy	NOUN
cana-2475	14	7	-	-	PUNCT
cana-2475	14	8	efficient	efficient	ADJ
cana-2475	14	9	data	data	NOUN
cana-2475	14	10	aggregation	aggregation	NOUN
cana-2475	14	11	and	and	CCONJ
cana-2475	14	12	communication	communication	NOUN
cana-2475	14	13	mechanisms	mechanism	NOUN
cana-2475	14	14	for	for	ADP
cana-2475	14	15	wsns	wsns	NOUN
cana-2475	14	16	is	be	AUX
cana-2475	14	17	essential	essential	ADJ
cana-2475	14	18	to	to	ADP
cana-2475	14	19	guaranteeing	guarantee	VERB
cana-2475	14	20	their	their	PRON
cana-2475	14	21	long	long	ADJ
cana-2475	14	22	-	-	PUNCT
cana-2475	14	23	term	term	NOUN
cana-2475	14	24	viability	viability	NOUN
cana-2475	14	25	.	.	PUNCT
cana-2475	15	1	one	one	NUM
cana-2475	15	2	of	of	ADP
cana-2475	15	3	the	the	DET
cana-2475	15	4	main	main	ADJ
cana-2475	15	5	problems	problem	NOUN
cana-2475	15	6	with	with	ADP
cana-2475	15	7	wsns	wsns	NOUN
cana-2475	15	8	is	be	AUX
cana-2475	15	9	redundant	redundant	ADJ
cana-2475	15	10	data	datum	NOUN
cana-2475	15	11	transmission	transmission	NOUN
cana-2475	15	12	,	,	PUNCT
cana-2475	15	13	which	which	PRON
cana-2475	15	14	causes	cause	VERB
cana-2475	15	15	network	network	NOUN
cana-2475	15	16	congestion	congestion	NOUN
cana-2475	15	17	and	and	CCONJ
cana-2475	15	18	decreased	decrease	VERB
cana-2475	15	19	communication	communication	NOUN
cana-2475	15	20	reliability	reliability	NOUN
cana-2475	15	21	in	in	ADP
cana-2475	15	22	addition	addition	NOUN
cana-2475	15	23	to	to	ADP
cana-2475	15	24	draining	drain	VERB
cana-2475	15	25	sensor	sensor	NOUN
cana-2475	15	26	nodes	node	NOUN
cana-2475	15	27	'	'	PART
cana-2475	15	28	energy	energy	NOUN
cana-2475	15	29	resources	resource	NOUN
cana-2475	15	30	.	.	PUNCT
cana-2475	16	1	even	even	ADV
cana-2475	16	2	if	if	SCONJ
cana-2475	16	3	they	they	PRON
cana-2475	16	4	can	can	AUX
cana-2475	16	5	be	be	AUX
cana-2475	16	6	somewhat	somewhat	ADV
cana-2475	16	7	helpful	helpful	ADJ
cana-2475	16	8	,	,	PUNCT
cana-2475	16	9	traditional	traditional	ADJ
cana-2475	16	10	data	data	NOUN
cana-2475	16	11	aggregation	aggregation	NOUN
cana-2475	16	12	strategies	strategy	NOUN
cana-2475	16	13	frequently	frequently	ADV
cana-2475	16	14	fail	fail	VERB
cana-2475	16	15	communications	communication	NOUN
cana-2475	16	16	on	on	ADP
cana-2475	16	17	applied	apply	VERB
cana-2475	16	18	nonlinear	nonlinear	ADJ
cana-2475	16	19	analysis	analysis	NOUN
cana-2475	16	20	issn	issn	NOUN
cana-2475	16	21	:	:	PUNCT
cana-2475	16	22	1074	1074	NUM
cana-2475	16	23	-	-	PUNCT
cana-2475	16	24	133x	133x	NUM
cana-2475	16	25	vol	vol	NOUN
cana-2475	16	26	32	32	NUM
cana-2475	16	27	no	no	NOUN
cana-2475	16	28	.	.	PUNCT
cana-2475	17	1	2s	2s	NUM
cana-2475	17	2	(	(	PUNCT
cana-2475	17	3	2025	2025	NUM
cana-2475	17	4	)	)	PUNCT
cana-2475	17	5	467	467	NUM
cana-2475	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	17	7	to	to	PART
cana-2475	17	8	meet	meet	VERB
cana-2475	17	9	the	the	DET
cana-2475	17	10	challenges	challenge	NOUN
cana-2475	17	11	associated	associate	VERB
cana-2475	17	12	with	with	ADP
cana-2475	17	13	energy	energy	NOUN
cana-2475	17	14	use	use	NOUN
cana-2475	17	15	in	in	ADP
cana-2475	17	16	dynamic	dynamic	ADJ
cana-2475	17	17	contexts	context	NOUN
cana-2475	17	18	.	.	PUNCT
cana-2475	18	1	consequently	consequently	ADV
cana-2475	18	2	,	,	PUNCT
cana-2475	18	3	scientists	scientist	NOUN
cana-2475	18	4	have	have	AUX
cana-2475	18	5	been	be	AUX
cana-2475	18	6	investigating	investigate	VERB
cana-2475	18	7	novel	novel	ADJ
cana-2475	18	8	methods	method	NOUN
cana-2475	18	9	to	to	PART
cana-2475	18	10	enhance	enhance	VERB
cana-2475	18	11	data	data	NOUN
cana-2475	18	12	aggregation	aggregation	NOUN
cana-2475	18	13	and	and	CCONJ
cana-2475	18	14	transmission	transmission	NOUN
cana-2475	18	15	in	in	ADP
cana-2475	18	16	wireless	wireless	ADJ
cana-2475	18	17	sensor	sensor	NOUN
cana-2475	18	18	networks	network	NOUN
cana-2475	18	19	.	.	PUNCT
cana-2475	19	1	of	of	ADP
cana-2475	19	2	these	these	DET
cana-2475	19	3	methods	method	NOUN
cana-2475	19	4	,	,	PUNCT
cana-2475	19	5	neural	neural	ADJ
cana-2475	19	6	network	network	NOUN
cana-2475	19	7	-	-	PUNCT
cana-2475	19	8	based	base	VERB
cana-2475	19	9	predictive	predictive	ADJ
cana-2475	19	10	modelling	modelling	NOUN
cana-2475	19	11	has	have	AUX
cana-2475	19	12	drawn	draw	VERB
cana-2475	19	13	the	the	DET
cana-2475	19	14	most	most	ADJ
cana-2475	19	15	attention	attention	NOUN
cana-2475	19	16	since	since	SCONJ
cana-2475	19	17	it	it	PRON
cana-2475	19	18	can	can	AUX
cana-2475	19	19	effectively	effectively	ADV
cana-2475	19	20	predict	predict	VERB
cana-2475	19	21	trends	trend	NOUN
cana-2475	19	22	in	in	ADP
cana-2475	19	23	sensor	sensor	NOUN
cana-2475	19	24	data	datum	NOUN
cana-2475	19	25	,	,	PUNCT
cana-2475	19	26	reducing	reduce	VERB
cana-2475	19	27	the	the	DET
cana-2475	19	28	frequency	frequency	NOUN
cana-2475	19	29	of	of	ADP
cana-2475	19	30	data	datum	NOUN
cana-2475	19	31	transmissions	transmission	NOUN
cana-2475	19	32	.	.	PUNCT
cana-2475	20	1	the	the	DET
cana-2475	20	2	goal	goal	NOUN
cana-2475	20	3	of	of	ADP
cana-2475	20	4	this	this	DET
cana-2475	20	5	project	project	NOUN
cana-2475	20	6	is	be	AUX
cana-2475	20	7	to	to	PART
cana-2475	20	8	integrate	integrate	VERB
cana-2475	20	9	neural	neural	ADJ
cana-2475	20	10	network	network	NOUN
cana-2475	20	11	-	-	PUNCT
cana-2475	20	12	based	base	VERB
cana-2475	20	13	prediction	prediction	NOUN
cana-2475	20	14	models	model	NOUN
cana-2475	20	15	into	into	ADP
cana-2475	20	16	a	a	DET
cana-2475	20	17	framework	framework	NOUN
cana-2475	20	18	for	for	ADP
cana-2475	20	19	data	data	NOUN
cana-2475	20	20	aggregation	aggregation	NOUN
cana-2475	20	21	for	for	ADP
cana-2475	20	22	wireless	wireless	ADJ
cana-2475	20	23	sensor	sensor	NOUN
cana-2475	20	24	networks	network	NOUN
cana-2475	20	25	(	(	PUNCT
cana-2475	20	26	wsns	wsns	NOUN
cana-2475	20	27	)	)	PUNCT
cana-2475	20	28	that	that	PRON
cana-2475	20	29	is	be	AUX
cana-2475	20	30	energy	energy	NOUN
cana-2475	20	31	-	-	PUNCT
cana-2475	20	32	efficient	efficient	ADJ
cana-2475	20	33	.	.	PUNCT
cana-2475	21	1	this	this	DET
cana-2475	21	2	framework	framework	NOUN
cana-2475	21	3	's	's	PART
cana-2475	21	4	major	major	ADJ
cana-2475	21	5	goal	goal	NOUN
cana-2475	21	6	is	be	AUX
cana-2475	21	7	to	to	PART
cana-2475	21	8	increase	increase	VERB
cana-2475	21	9	sensor	sensor	NOUN
cana-2475	21	10	network	network	NOUN
cana-2475	21	11	longevity	longevity	NOUN
cana-2475	21	12	while	while	SCONJ
cana-2475	21	13	preserving	preserve	VERB
cana-2475	21	14	high	high	ADJ
cana-2475	21	15	standards	standard	NOUN
cana-2475	21	16	of	of	ADP
cana-2475	21	17	precision	precision	NOUN
cana-2475	21	18	and	and	CCONJ
cana-2475	21	19	dependability	dependability	NOUN
cana-2475	21	20	in	in	ADP
cana-2475	21	21	data	datum	NOUN
cana-2475	21	22	transmission	transmission	NOUN
cana-2475	21	23	.	.	PUNCT
cana-2475	22	1	with	with	ADP
cana-2475	22	2	their	their	PRON
cana-2475	22	3	capacity	capacity	NOUN
cana-2475	22	4	to	to	PART
cana-2475	22	5	deduce	deduce	VERB
cana-2475	22	6	intricate	intricate	ADJ
cana-2475	22	7	patterns	pattern	NOUN
cana-2475	22	8	from	from	ADP
cana-2475	22	9	data	datum	NOUN
cana-2475	22	10	,	,	PUNCT
cana-2475	22	11	neural	neural	ADJ
cana-2475	22	12	networks	network	NOUN
cana-2475	22	13	are	be	AUX
cana-2475	22	14	used	use	VERB
cana-2475	22	15	to	to	PART
cana-2475	22	16	forecast	forecast	VERB
cana-2475	22	17	sensor	sensor	NOUN
cana-2475	22	18	readings	reading	NOUN
cana-2475	22	19	in	in	ADP
cana-2475	22	20	the	the	DET
cana-2475	22	21	future	future	NOUN
cana-2475	22	22	.	.	PUNCT
cana-2475	23	1	the	the	DET
cana-2475	23	2	framework	framework	NOUN
cana-2475	23	3	can	can	AUX
cana-2475	23	4	lessen	lessen	VERB
cana-2475	23	5	the	the	DET
cana-2475	23	6	frequency	frequency	NOUN
cana-2475	23	7	of	of	ADP
cana-2475	23	8	data	datum	NOUN
cana-2475	23	9	transmissions	transmission	NOUN
cana-2475	23	10	,	,	PUNCT
cana-2475	23	11	saving	save	VERB
cana-2475	23	12	energy	energy	NOUN
cana-2475	23	13	and	and	CCONJ
cana-2475	23	14	easing	ease	VERB
cana-2475	23	15	network	network	NOUN
cana-2475	23	16	congestion	congestion	NOUN
cana-2475	23	17	,	,	PUNCT
cana-2475	23	18	by	by	ADP
cana-2475	23	19	precisely	precisely	ADV
cana-2475	23	20	predicting	predict	VERB
cana-2475	23	21	data	datum	NOUN
cana-2475	23	22	trends	trend	NOUN
cana-2475	23	23	.	.	PUNCT
cana-2475	24	1	predictive	predictive	ADJ
cana-2475	24	2	modelling	modelling	NOUN
cana-2475	24	3	is	be	AUX
cana-2475	24	4	used	use	VERB
cana-2475	24	5	in	in	ADP
cana-2475	24	6	the	the	DET
cana-2475	24	7	suggested	suggest	VERB
cana-2475	24	8	framework	framework	NOUN
cana-2475	24	9	to	to	PART
cana-2475	24	10	find	find	VERB
cana-2475	24	11	and	and	CCONJ
cana-2475	24	12	remove	remove	VERB
cana-2475	24	13	unnecessary	unnecessary	ADJ
cana-2475	24	14	data	datum	NOUN
cana-2475	24	15	transmissions	transmission	NOUN
cana-2475	24	16	.	.	PUNCT
cana-2475	25	1	sensor	sensor	NOUN
cana-2475	25	2	nodes	node	NOUN
cana-2475	25	3	can	can	AUX
cana-2475	25	4	send	send	VERB
cana-2475	25	5	only	only	ADV
cana-2475	25	6	major	major	ADJ
cana-2475	25	7	changes	change	NOUN
cana-2475	25	8	in	in	ADP
cana-2475	25	9	data	datum	NOUN
cana-2475	25	10	when	when	SCONJ
cana-2475	25	11	they	they	PRON
cana-2475	25	12	have	have	VERB
cana-2475	25	13	a	a	DET
cana-2475	25	14	high	high	ADJ
cana-2475	25	15	degree	degree	NOUN
cana-2475	25	16	of	of	ADP
cana-2475	25	17	accuracy	accuracy	NOUN
cana-2475	25	18	in	in	ADP
cana-2475	25	19	predicting	predict	VERB
cana-2475	25	20	future	future	ADJ
cana-2475	25	21	data	datum	NOUN
cana-2475	25	22	,	,	PUNCT
cana-2475	25	23	which	which	PRON
cana-2475	25	24	lowers	lower	VERB
cana-2475	25	25	the	the	DET
cana-2475	25	26	total	total	ADJ
cana-2475	25	27	energy	energy	NOUN
cana-2475	25	28	consumption	consumption	NOUN
cana-2475	25	29	.	.	PUNCT
cana-2475	26	1	this	this	DET
cana-2475	26	2	method	method	NOUN
cana-2475	26	3	works	work	VERB
cana-2475	26	4	especially	especially	ADV
cana-2475	26	5	well	well	ADV
cana-2475	26	6	for	for	ADP
cana-2475	26	7	applications	application	NOUN
cana-2475	26	8	like	like	ADP
cana-2475	26	9	environmental	environmental	ADJ
cana-2475	26	10	monitoring	monitoring	NOUN
cana-2475	26	11	or	or	CCONJ
cana-2475	26	12	smart	smart	ADJ
cana-2475	26	13	city	city	NOUN
cana-2475	26	14	infrastructure	infrastructure	NOUN
cana-2475	26	15	when	when	SCONJ
cana-2475	26	16	sensor	sensor	NOUN
cana-2475	26	17	data	datum	NOUN
cana-2475	26	18	is	be	AUX
cana-2475	26	19	consistent	consistent	ADJ
cana-2475	26	20	over	over	ADP
cana-2475	26	21	time	time	NOUN
cana-2475	26	22	.	.	PUNCT
cana-2475	27	1	furthermore	furthermore	ADV
cana-2475	27	2	,	,	PUNCT
cana-2475	27	3	the	the	DET
cana-2475	27	4	framework	framework	NOUN
cana-2475	27	5	enhances	enhance	VERB
cana-2475	27	6	network	network	NOUN
cana-2475	27	7	throughput	throughput	NOUN
cana-2475	27	8	and	and	CCONJ
cana-2475	27	9	improves	improve	VERB
cana-2475	27	10	overall	overall	ADJ
cana-2475	27	11	system	system	NOUN
cana-2475	27	12	performance	performance	NOUN
cana-2475	27	13	by	by	ADP
cana-2475	27	14	minimising	minimise	VERB
cana-2475	27	15	the	the	DET
cana-2475	27	16	number	number	NOUN
cana-2475	27	17	of	of	ADP
cana-2475	27	18	transfers	transfer	NOUN
cana-2475	27	19	.	.	PUNCT
cana-2475	28	1	simulations	simulation	NOUN
cana-2475	28	2	are	be	AUX
cana-2475	28	3	carried	carry	VERB
cana-2475	28	4	out	out	ADP
cana-2475	28	5	to	to	PART
cana-2475	28	6	compare	compare	VERB
cana-2475	28	7	the	the	DET
cana-2475	28	8	performance	performance	NOUN
cana-2475	28	9	of	of	ADP
cana-2475	28	10	the	the	DET
cana-2475	28	11	neural	neural	ADJ
cana-2475	28	12	network	network	NOUN
cana-2475	28	13	-	-	PUNCT
cana-2475	28	14	based	base	VERB
cana-2475	28	15	prediction	prediction	NOUN
cana-2475	28	16	model	model	NOUN
cana-2475	28	17	with	with	ADP
cana-2475	28	18	conventional	conventional	ADJ
cana-2475	28	19	data	data	NOUN
cana-2475	28	20	aggregation	aggregation	NOUN
cana-2475	28	21	techniques	technique	NOUN
cana-2475	28	22	in	in	ADP
cana-2475	28	23	order	order	NOUN
cana-2475	28	24	to	to	PART
cana-2475	28	25	assess	assess	VERB
cana-2475	28	26	the	the	DET
cana-2475	28	27	efficacy	efficacy	NOUN
cana-2475	28	28	of	of	ADP
cana-2475	28	29	the	the	DET
cana-2475	28	30	suggested	suggest	VERB
cana-2475	28	31	methodology	methodology	NOUN
cana-2475	28	32	.	.	PUNCT
cana-2475	29	1	the	the	DET
cana-2475	29	2	outcomes	outcome	NOUN
cana-2475	29	3	of	of	ADP
cana-2475	29	4	the	the	DET
cana-2475	29	5	simulation	simulation	NOUN
cana-2475	29	6	show	show	VERB
cana-2475	29	7	notable	notable	ADJ
cana-2475	29	8	gains	gain	NOUN
cana-2475	29	9	in	in	ADP
cana-2475	29	10	system	system	NOUN
cana-2475	29	11	performance	performance	NOUN
cana-2475	29	12	,	,	PUNCT
cana-2475	29	13	network	network	NOUN
cana-2475	29	14	throughput	throughput	NOUN
cana-2475	29	15	,	,	PUNCT
cana-2475	29	16	and	and	CCONJ
cana-2475	29	17	energy	energy	NOUN
cana-2475	29	18	savings	saving	NOUN
cana-2475	29	19	.	.	PUNCT
cana-2475	30	1	in	in	ADP
cana-2475	30	2	particular	particular	ADJ
cana-2475	30	3	,	,	PUNCT
cana-2475	30	4	it	it	PRON
cana-2475	30	5	is	be	AUX
cana-2475	30	6	demonstrated	demonstrate	VERB
cana-2475	30	7	that	that	SCONJ
cana-2475	30	8	the	the	DET
cana-2475	30	9	neural	neural	ADJ
cana-2475	30	10	network	network	NOUN
cana-2475	30	11	-	-	PUNCT
cana-2475	30	12	based	base	VERB
cana-2475	30	13	method	method	NOUN
cana-2475	30	14	increases	increase	VERB
cana-2475	30	15	the	the	DET
cana-2475	30	16	operational	operational	ADJ
cana-2475	30	17	lifetime	lifetime	NOUN
cana-2475	30	18	of	of	ADP
cana-2475	30	19	sensor	sensor	NOUN
cana-2475	30	20	networks	network	NOUN
cana-2475	30	21	by	by	ADP
cana-2475	30	22	lowering	lower	VERB
cana-2475	30	23	the	the	DET
cana-2475	30	24	energy	energy	NOUN
cana-2475	30	25	usage	usage	NOUN
cana-2475	30	26	related	relate	VERB
cana-2475	30	27	to	to	ADP
cana-2475	30	28	data	data	NOUN
cana-2475	30	29	transmission	transmission	NOUN
cana-2475	30	30	.	.	PUNCT
cana-2475	31	1	consequently	consequently	ADV
cana-2475	31	2	,	,	PUNCT
cana-2475	31	3	this	this	DET
cana-2475	31	4	results	result	NOUN
cana-2475	31	5	in	in	ADP
cana-2475	31	6	wsn	wsn	PROPN
cana-2475	31	7	systems	system	NOUN
cana-2475	31	8	that	that	PRON
cana-2475	31	9	are	be	AUX
cana-2475	31	10	more	more	ADJ
cana-2475	31	11	resource	resource	NOUN
cana-2475	31	12	-	-	PUNCT
cana-2475	31	13	constrained	constrain	VERB
cana-2475	31	14	environments	environment	NOUN
cana-2475	31	15	and	and	CCONJ
cana-2475	31	16	more	more	ADV
cana-2475	31	17	sustainable	sustainable	ADJ
cana-2475	31	18	.	.	PUNCT
cana-2475	32	1	in	in	ADP
cana-2475	32	2	conclusion	conclusion	NOUN
cana-2475	32	3	,	,	PUNCT
cana-2475	32	4	our	our	PRON
cana-2475	32	5	study	study	NOUN
cana-2475	32	6	adds	add	VERB
cana-2475	32	7	to	to	ADP
cana-2475	32	8	the	the	DET
cana-2475	32	9	continuing	continue	VERB
cana-2475	32	10	attempts	attempt	NOUN
cana-2475	32	11	to	to	PART
cana-2475	32	12	develop	develop	VERB
cana-2475	32	13	wsns	wsns	NOUN
cana-2475	32	14	that	that	PRON
cana-2475	32	15	are	be	AUX
cana-2475	32	16	more	more	ADV
cana-2475	32	17	intelligent	intelligent	ADJ
cana-2475	32	18	and	and	CCONJ
cana-2475	32	19	effective	effective	ADJ
cana-2475	32	20	so	so	SCONJ
cana-2475	32	21	they	they	PRON
cana-2475	32	22	can	can	AUX
cana-2475	32	23	be	be	AUX
cana-2475	32	24	used	use	VERB
cana-2475	32	25	in	in	ADP
cana-2475	32	26	a	a	DET
cana-2475	32	27	variety	variety	NOUN
cana-2475	32	28	of	of	ADP
cana-2475	32	29	applications	application	NOUN
cana-2475	32	30	.	.	PUNCT
cana-2475	33	1	the	the	DET
cana-2475	33	2	suggested	suggest	VERB
cana-2475	33	3	architecture	architecture	NOUN
cana-2475	33	4	provides	provide	VERB
cana-2475	33	5	a	a	DET
cana-2475	33	6	fresh	fresh	ADJ
cana-2475	33	7	approach	approach	NOUN
cana-2475	33	8	to	to	ADP
cana-2475	33	9	the	the	DET
cana-2475	33	10	problems	problem	NOUN
cana-2475	33	11	wsns	wsns	PROPN
cana-2475	33	12	have	have	VERB
cana-2475	33	13	with	with	ADP
cana-2475	33	14	energy	energy	NOUN
cana-2475	33	15	usage	usage	NOUN
cana-2475	33	16	by	by	ADP
cana-2475	33	17	fusing	fuse	VERB
cana-2475	33	18	neural	neural	ADJ
cana-2475	33	19	network	network	NOUN
cana-2475	33	20	-	-	PUNCT
cana-2475	33	21	based	base	VERB
cana-2475	33	22	prediction	prediction	NOUN
cana-2475	33	23	models	model	NOUN
cana-2475	33	24	with	with	ADP
cana-2475	33	25	data	datum	NOUN
cana-2475	33	26	aggregation	aggregation	NOUN
cana-2475	33	27	methods	method	NOUN
cana-2475	33	28	.	.	PUNCT
cana-2475	34	1	the	the	DET
cana-2475	34	2	results	result	NOUN
cana-2475	34	3	of	of	ADP
cana-2475	34	4	this	this	DET
cana-2475	34	5	study	study	NOUN
cana-2475	34	6	may	may	AUX
cana-2475	34	7	contribute	contribute	VERB
cana-2475	34	8	to	to	ADP
cana-2475	34	9	the	the	DET
cana-2475	34	10	development	development	NOUN
cana-2475	34	11	of	of	ADP
cana-2475	34	12	energyefficient	energyefficient	PROPN
cana-2475	34	13	wsn	wsn	PROPN
cana-2475	34	14	architectures	architecture	NOUN
cana-2475	34	15	,	,	PUNCT
cana-2475	34	16	which	which	PRON
cana-2475	34	17	would	would	AUX
cana-2475	34	18	eventually	eventually	ADV
cana-2475	34	19	make	make	VERB
cana-2475	34	20	it	it	PRON
cana-2475	34	21	possible	possible	ADJ
cana-2475	34	22	for	for	SCONJ
cana-2475	34	23	sensor	sensor	NOUN
cana-2475	34	24	networks	network	NOUN
cana-2475	34	25	operating	operate	VERB
cana-2475	34	26	in	in	ADP
cana-2475	34	27	a	a	DET
cana-2475	34	28	variety	variety	NOUN
cana-2475	34	29	of	of	ADP
cana-2475	34	30	domains	domain	NOUN
cana-2475	34	31	to	to	PART
cana-2475	34	32	be	be	AUX
cana-2475	34	33	more	more	ADV
cana-2475	34	34	dependable	dependable	ADJ
cana-2475	34	35	and	and	CCONJ
cana-2475	34	36	sustainable	sustainable	ADJ
cana-2475	34	37	.	.	PUNCT
cana-2475	35	1	ii	ii	X
cana-2475	35	2	.	.	PUNCT
cana-2475	36	1	literature	literature	PROPN
cana-2475	36	2	review	review	PROPN
cana-2475	36	3	[	[	X
cana-2475	36	4	1	1	NUM
cana-2475	36	5	]	]	X
cana-2475	36	6	kaur	kaur	NOUN
cana-2475	36	7	.	.	PUNCT
cana-2475	37	1	et	et	PROPN
cana-2475	37	2	al.(2024	al.(2024	PROPN
cana-2475	37	3	):	):	PUNCT
cana-2475	37	4	they	they	PRON
cana-2475	37	5	provide	provide	VERB
cana-2475	37	6	a	a	DET
cana-2475	37	7	metaheuristic	metaheuristic	ADJ
cana-2475	37	8	algorithm	algorithm	NOUN
cana-2475	37	9	-	-	PUNCT
cana-2475	37	10	based	base	VERB
cana-2475	37	11	neural	neural	ADJ
cana-2475	37	12	network	network	NOUN
cana-2475	37	13	-	-	PUNCT
cana-2475	37	14	based	base	VERB
cana-2475	37	15	data	data	NOUN
cana-2475	37	16	aggregation	aggregation	NOUN
cana-2475	37	17	methodology	methodology	NOUN
cana-2475	37	18	.	.	PUNCT
cana-2475	38	1	the	the	DET
cana-2475	38	2	suggested	suggest	VERB
cana-2475	38	3	technique	technique	NOUN
cana-2475	38	4	makes	make	VERB
cana-2475	38	5	use	use	NOUN
cana-2475	38	6	of	of	ADP
cana-2475	38	7	feed	feed	NOUN
cana-2475	38	8	-	-	PUNCT
cana-2475	38	9	forward	forward	NOUN
cana-2475	38	10	backpropagation	backpropagation	NOUN
cana-2475	38	11	networks	network	NOUN
cana-2475	38	12	,	,	PUNCT
cana-2475	38	13	reduces	reduce	VERB
cana-2475	38	14	duplicated	duplicated	ADJ
cana-2475	38	15	transmissions	transmission	NOUN
cana-2475	38	16	,	,	PUNCT
cana-2475	38	17	and	and	CCONJ
cana-2475	38	18	forecasts	forecast	VERB
cana-2475	38	19	patterns	pattern	NOUN
cana-2475	38	20	in	in	ADP
cana-2475	38	21	sensor	sensor	NOUN
cana-2475	38	22	data	datum	NOUN
cana-2475	38	23	to	to	PART
cana-2475	38	24	increase	increase	VERB
cana-2475	38	25	energy	energy	NOUN
cana-2475	38	26	efficiency	efficiency	NOUN
cana-2475	38	27	.	.	PUNCT
cana-2475	39	1	this	this	DET
cana-2475	39	2	method	method	NOUN
cana-2475	39	3	works	work	VERB
cana-2475	39	4	particularly	particularly	ADV
cana-2475	39	5	well	well	ADV
cana-2475	39	6	in	in	ADP
cana-2475	39	7	situations	situation	NOUN
cana-2475	39	8	where	where	SCONJ
cana-2475	39	9	sensor	sensor	NOUN
cana-2475	39	10	readings	reading	NOUN
cana-2475	39	11	occur	occur	VERB
cana-2475	39	12	on	on	ADP
cana-2475	39	13	a	a	DET
cana-2475	39	14	regular	regular	ADJ
cana-2475	39	15	basis	basis	NOUN
cana-2475	39	16	.	.	PUNCT
cana-2475	40	1	in	in	ADP
cana-2475	40	2	these	these	DET
cana-2475	40	3	situations	situation	NOUN
cana-2475	40	4	,	,	PUNCT
cana-2475	40	5	forecast	forecast	NOUN
cana-2475	40	6	accuracy	accuracy	NOUN
cana-2475	40	7	is	be	AUX
cana-2475	40	8	crucial	crucial	ADJ
cana-2475	40	9	in	in	ADP
cana-2475	40	10	reducing	reduce	VERB
cana-2475	40	11	energy	energy	NOUN
cana-2475	40	12	consumption	consumption	NOUN
cana-2475	40	13	and	and	CCONJ
cana-2475	40	14	maximising	maximise	VERB
cana-2475	40	15	network	network	NOUN
cana-2475	40	16	lifespan	lifespan	NOUN
cana-2475	40	17	.	.	PUNCT
cana-2475	41	1	this	this	DET
cana-2475	41	2	work	work	NOUN
cana-2475	41	3	adds	add	VERB
cana-2475	41	4	to	to	ADP
cana-2475	41	5	the	the	DET
cana-2475	41	6	development	development	NOUN
cana-2475	41	7	of	of	ADP
cana-2475	41	8	energy	energy	NOUN
cana-2475	41	9	-	-	PUNCT
cana-2475	41	10	efficient	efficient	ADJ
cana-2475	41	11	frameworks	framework	NOUN
cana-2475	41	12	appropriate	appropriate	ADJ
cana-2475	41	13	for	for	ADP
cana-2475	41	14	applications	application	NOUN
cana-2475	41	15	such	such	ADJ
cana-2475	41	16	as	as	ADP
cana-2475	41	17	smart	smart	ADJ
cana-2475	41	18	city	city	NOUN
cana-2475	41	19	infrastructure	infrastructure	NOUN
cana-2475	41	20	and	and	CCONJ
cana-2475	41	21	environmental	environmental	ADJ
cana-2475	41	22	monitoring	monitoring	NOUN
cana-2475	41	23	by	by	ADP
cana-2475	41	24	fusing	fuse	VERB
cana-2475	41	25	predictive	predictive	ADJ
cana-2475	41	26	analytics	analytic	NOUN
cana-2475	41	27	with	with	ADP
cana-2475	41	28	wsns	wsns	PROPN
cana-2475	41	29	.	.	PUNCT
cana-2475	42	1	communications	communication	NOUN
cana-2475	42	2	on	on	ADP
cana-2475	42	3	applied	apply	VERB
cana-2475	42	4	nonlinear	nonlinear	ADJ
cana-2475	42	5	analysis	analysis	NOUN
cana-2475	42	6	issn	issn	NOUN
cana-2475	42	7	:	:	PUNCT
cana-2475	42	8	1074	1074	NUM
cana-2475	42	9	-	-	PUNCT
cana-2475	42	10	133x	133x	NUM
cana-2475	42	11	vol	vol	NOUN
cana-2475	42	12	32	32	NUM
cana-2475	42	13	no	no	NOUN
cana-2475	42	14	.	.	PUNCT
cana-2475	43	1	2s	2s	NUM
cana-2475	43	2	(	(	PUNCT
cana-2475	43	3	2025	2025	NUM
cana-2475	43	4	)	)	PUNCT
cana-2475	43	5	468	468	NUM
cana-2475	43	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	44	1	[	[	X
cana-2475	44	2	2	2	NUM
cana-2475	44	3	]	]	X
cana-2475	44	4	saranraj	saranraj	NOUN
cana-2475	44	5	,	,	PUNCT
cana-2475	44	6	g.	g.	PROPN
cana-2475	44	7	,	,	PUNCT
cana-2475	44	8	et	et	PROPN
cana-2475	44	9	al	al	PROPN
cana-2475	44	10	.	.	PROPN
cana-2475	45	1	(	(	PUNCT
cana-2475	45	2	2023	2023	NUM
cana-2475	45	3	):	):	PUNCT
cana-2475	45	4	the	the	DET
cana-2475	45	5	paper	paper	NOUN
cana-2475	45	6	presents	present	VERB
cana-2475	45	7	the	the	DET
cana-2475	45	8	multi	multi	ADJ
cana-2475	45	9	-	-	ADJ
cana-2475	45	10	objective	objective	ADJ
cana-2475	45	11	male	male	ADJ
cana-2475	45	12	lion	lion	NOUN
cana-2475	45	13	optimisation	optimisation	NOUN
cana-2475	45	14	algorithm	algorithm	NOUN
cana-2475	45	15	(	(	PUNCT
cana-2475	45	16	momloa	momloa	NOUN
cana-2475	45	17	)	)	PUNCT
cana-2475	45	18	for	for	ADP
cana-2475	45	19	data	data	NOUN
cana-2475	45	20	aggregation	aggregation	NOUN
cana-2475	45	21	in	in	ADP
cana-2475	45	22	wireless	wireless	ADJ
cana-2475	45	23	sensor	sensor	NOUN
cana-2475	45	24	networks	network	NOUN
cana-2475	45	25	(	(	PUNCT
cana-2475	45	26	wsns	wsns	NOUN
cana-2475	45	27	)	)	PUNCT
cana-2475	45	28	that	that	PRON
cana-2475	45	29	uses	use	VERB
cana-2475	45	30	less	less	ADJ
cana-2475	45	31	energy	energy	NOUN
cana-2475	45	32	.	.	PUNCT
cana-2475	46	1	momloa	momloa	NOUN
cana-2475	46	2	optimises	optimise	VERB
cana-2475	46	3	energy	energy	NOUN
cana-2475	46	4	conservation	conservation	NOUN
cana-2475	46	5	and	and	CCONJ
cana-2475	46	6	redundancy	redundancy	NOUN
cana-2475	46	7	transmissions	transmission	NOUN
cana-2475	46	8	by	by	ADP
cana-2475	46	9	selecting	select	VERB
cana-2475	46	10	the	the	DET
cana-2475	46	11	cluster	cluster	NOUN
cana-2475	46	12	head	head	NOUN
cana-2475	46	13	optimally	optimally	ADV
cana-2475	46	14	.	.	PUNCT
cana-2475	47	1	by	by	ADP
cana-2475	47	2	adding	add	VERB
cana-2475	47	3	machine	machine	NOUN
cana-2475	47	4	learning	learning	NOUN
cana-2475	47	5	,	,	PUNCT
cana-2475	47	6	the	the	DET
cana-2475	47	7	model	model	NOUN
cana-2475	47	8	's	's	PART
cana-2475	47	9	prediction	prediction	NOUN
cana-2475	47	10	accuracy	accuracy	NOUN
cana-2475	47	11	for	for	ADP
cana-2475	47	12	sensor	sensor	NOUN
cana-2475	47	13	data	datum	NOUN
cana-2475	47	14	is	be	AUX
cana-2475	47	15	increased	increase	VERB
cana-2475	47	16	,	,	PUNCT
cana-2475	47	17	which	which	PRON
cana-2475	47	18	boosts	boost	VERB
cana-2475	47	19	network	network	NOUN
cana-2475	47	20	performance	performance	NOUN
cana-2475	47	21	and	and	CCONJ
cana-2475	47	22	extends	extend	VERB
cana-2475	47	23	its	its	PRON
cana-2475	47	24	lifetime	lifetime	NOUN
cana-2475	47	25	.	.	PUNCT
cana-2475	48	1	this	this	DET
cana-2475	48	2	method	method	NOUN
cana-2475	48	3	works	work	VERB
cana-2475	48	4	well	well	ADV
cana-2475	48	5	in	in	ADP
cana-2475	48	6	real	real	ADJ
cana-2475	48	7	-	-	PUNCT
cana-2475	48	8	time	time	NOUN
cana-2475	48	9	applications	application	NOUN
cana-2475	48	10	where	where	SCONJ
cana-2475	48	11	sensor	sensor	NOUN
cana-2475	48	12	data	datum	NOUN
cana-2475	48	13	needs	need	VERB
cana-2475	48	14	to	to	PART
cana-2475	48	15	be	be	AUX
cana-2475	48	16	processed	process	VERB
cana-2475	48	17	quickly	quickly	ADV
cana-2475	48	18	without	without	ADP
cana-2475	48	19	sacrificing	sacrifice	VERB
cana-2475	48	20	energy	energy	NOUN
cana-2475	48	21	,	,	PUNCT
cana-2475	48	22	and	and	CCONJ
cana-2475	48	23	it	it	PRON
cana-2475	48	24	offers	offer	VERB
cana-2475	48	25	a	a	DET
cana-2475	48	26	reliable	reliable	ADJ
cana-2475	48	27	way	way	NOUN
cana-2475	48	28	to	to	PART
cana-2475	48	29	overcome	overcome	VERB
cana-2475	48	30	energy	energy	NOUN
cana-2475	48	31	limitations	limitation	NOUN
cana-2475	48	32	in	in	ADP
cana-2475	48	33	wsn	wsn	PROPN
cana-2475	48	34	systems	system	NOUN
cana-2475	48	35	with	with	ADP
cana-2475	48	36	restricted	restricted	ADJ
cana-2475	48	37	resources	resource	NOUN
cana-2475	48	38	.	.	PUNCT
cana-2475	49	1	[	[	X
cana-2475	49	2	3	3	NUM
cana-2475	49	3	]	]	X
cana-2475	49	4	gopalan	gopalan	NOUN
cana-2475	49	5	,	,	PUNCT
cana-2475	49	6	s.	s.	PROPN
cana-2475	49	7	h.	h.	PROPN
cana-2475	49	8	,	,	PUNCT
cana-2475	49	9	et	et	PROPN
cana-2475	49	10	al	al	PROPN
cana-2475	49	11	.	.	PROPN
cana-2475	50	1	(	(	PUNCT
cana-2475	50	2	2023	2023	NUM
cana-2475	50	3	):	):	PUNCT
cana-2475	50	4	for	for	ADP
cana-2475	50	5	effective	effective	ADJ
cana-2475	50	6	routing	routing	NOUN
cana-2475	50	7	in	in	ADP
cana-2475	50	8	vanets	vanet	NOUN
cana-2475	50	9	,	,	PUNCT
cana-2475	50	10	the	the	DET
cana-2475	50	11	researchers	researcher	NOUN
cana-2475	50	12	create	create	VERB
cana-2475	50	13	a	a	DET
cana-2475	50	14	hybrid	hybrid	ADJ
cana-2475	50	15	particle	particle	NOUN
cana-2475	50	16	swarm	swarm	NOUN
cana-2475	50	17	optimisation	optimisation	NOUN
cana-2475	50	18	(	(	PUNCT
cana-2475	50	19	pso	pso	NOUN
cana-2475	50	20	)	)	PUNCT
cana-2475	50	21	model	model	NOUN
cana-2475	50	22	that	that	PRON
cana-2475	50	23	may	may	AUX
cana-2475	50	24	be	be	AUX
cana-2475	50	25	modified	modify	VERB
cana-2475	50	26	for	for	ADP
cana-2475	50	27	use	use	NOUN
cana-2475	50	28	in	in	ADP
cana-2475	50	29	wsns	wsns	NOUN
cana-2475	50	30	.	.	PUNCT
cana-2475	51	1	by	by	ADP
cana-2475	51	2	minimising	minimise	VERB
cana-2475	51	3	redundant	redundant	ADJ
cana-2475	51	4	transmissions	transmission	NOUN
cana-2475	51	5	and	and	CCONJ
cana-2475	51	6	guaranteeing	guarantee	VERB
cana-2475	51	7	energy	energy	NOUN
cana-2475	51	8	-	-	PUNCT
cana-2475	51	9	efficient	efficient	ADJ
cana-2475	51	10	data	datum	NOUN
cana-2475	51	11	distribution	distribution	NOUN
cana-2475	51	12	,	,	PUNCT
cana-2475	51	13	this	this	DET
cana-2475	51	14	method	method	NOUN
cana-2475	51	15	optimises	optimise	VERB
cana-2475	51	16	routing	route	VERB
cana-2475	51	17	patterns	pattern	NOUN
cana-2475	51	18	.	.	PUNCT
cana-2475	52	1	neural	neural	ADJ
cana-2475	52	2	networks	network	NOUN
cana-2475	52	3	anticipate	anticipate	VERB
cana-2475	52	4	patterns	pattern	NOUN
cana-2475	52	5	in	in	ADP
cana-2475	52	6	sensor	sensor	NOUN
cana-2475	52	7	data	datum	NOUN
cana-2475	52	8	to	to	PART
cana-2475	52	9	reduce	reduce	VERB
cana-2475	52	10	needless	needless	ADJ
cana-2475	52	11	communications	communication	NOUN
cana-2475	52	12	even	even	ADV
cana-2475	52	13	more	more	ADV
cana-2475	52	14	,	,	PUNCT
cana-2475	52	15	saving	save	VERB
cana-2475	52	16	a	a	DET
cana-2475	52	17	substantial	substantial	ADJ
cana-2475	52	18	amount	amount	NOUN
cana-2475	52	19	of	of	ADP
cana-2475	52	20	energy	energy	NOUN
cana-2475	52	21	.	.	PUNCT
cana-2475	53	1	this	this	DET
cana-2475	53	2	hybrid	hybrid	ADJ
cana-2475	53	3	paradigm	paradigm	NOUN
cana-2475	53	4	works	work	VERB
cana-2475	53	5	especially	especially	ADV
cana-2475	53	6	well	well	ADV
cana-2475	53	7	in	in	ADP
cana-2475	53	8	dynamic	dynamic	ADJ
cana-2475	53	9	wsn	wsn	NOUN
cana-2475	53	10	scenarios	scenario	NOUN
cana-2475	53	11	where	where	SCONJ
cana-2475	53	12	energy	energy	NOUN
cana-2475	53	13	management	management	NOUN
cana-2475	53	14	and	and	CCONJ
cana-2475	53	15	flexible	flexible	ADJ
cana-2475	53	16	routing	routing	NOUN
cana-2475	53	17	are	be	AUX
cana-2475	53	18	essential	essential	ADJ
cana-2475	53	19	to	to	ADP
cana-2475	53	20	sustaining	sustain	VERB
cana-2475	53	21	network	network	NOUN
cana-2475	53	22	performance	performance	NOUN
cana-2475	53	23	.	.	PUNCT
cana-2475	54	1	[	[	X
cana-2475	54	2	4	4	NUM
cana-2475	54	3	]	]	X
cana-2475	54	4	manikandan	manikandan	PROPN
cana-2475	54	5	,	,	PUNCT
cana-2475	54	6	a.	a.	PROPN
cana-2475	54	7	,	,	PUNCT
cana-2475	54	8	et	et	PROPN
cana-2475	54	9	al	al	PROPN
cana-2475	54	10	.	.	PROPN
cana-2475	54	11	(	(	PUNCT
cana-2475	54	12	2023	2023	NUM
cana-2475	54	13	):	):	PUNCT
cana-2475	54	14	in	in	ADP
cana-2475	54	15	order	order	NOUN
cana-2475	54	16	to	to	PART
cana-2475	54	17	minimise	minimise	VERB
cana-2475	54	18	energy	energy	NOUN
cana-2475	54	19	usage	usage	NOUN
cana-2475	54	20	,	,	PUNCT
cana-2475	54	21	this	this	DET
cana-2475	54	22	paper	paper	NOUN
cana-2475	54	23	suggests	suggest	VERB
cana-2475	54	24	a	a	DET
cana-2475	54	25	dynamic	dynamic	ADJ
cana-2475	54	26	scheduling	scheduling	NOUN
cana-2475	54	27	paradigm	paradigm	NOUN
cana-2475	54	28	for	for	ADP
cana-2475	54	29	ad	ad	X
cana-2475	54	30	hoc	hoc	X
cana-2475	54	31	networks	network	NOUN
cana-2475	54	32	that	that	PRON
cana-2475	54	33	emphasises	emphasise	VERB
cana-2475	54	34	efficient	efficient	ADJ
cana-2475	54	35	communication	communication	NOUN
cana-2475	54	36	techniques	technique	NOUN
cana-2475	54	37	.	.	PUNCT
cana-2475	55	1	the	the	DET
cana-2475	55	2	methodology	methodology	NOUN
cana-2475	55	3	ensures	ensure	VERB
cana-2475	55	4	energyefficient	energyefficient	NOUN
cana-2475	55	5	data	datum	NOUN
cana-2475	55	6	aggregation	aggregation	NOUN
cana-2475	55	7	by	by	ADP
cana-2475	55	8	dynamically	dynamically	ADV
cana-2475	55	9	scheduling	scheduling	NOUN
cana-2475	55	10	transmissions	transmission	NOUN
cana-2475	55	11	through	through	ADP
cana-2475	55	12	the	the	DET
cana-2475	55	13	use	use	NOUN
cana-2475	55	14	of	of	ADP
cana-2475	55	15	hybrid	hybrid	ADJ
cana-2475	55	16	advisory	advisory	ADJ
cana-2475	55	17	weights	weight	NOUN
cana-2475	55	18	.	.	PUNCT
cana-2475	56	1	the	the	DET
cana-2475	56	2	framework	framework	NOUN
cana-2475	56	3	can	can	AUX
cana-2475	56	4	forecast	forecast	VERB
cana-2475	56	5	trends	trend	NOUN
cana-2475	56	6	in	in	ADP
cana-2475	56	7	sensor	sensor	NOUN
cana-2475	56	8	data	datum	NOUN
cana-2475	56	9	by	by	ADP
cana-2475	56	10	incorporating	incorporate	VERB
cana-2475	56	11	neural	neural	ADJ
cana-2475	56	12	network	network	NOUN
cana-2475	56	13	predictions	prediction	NOUN
cana-2475	56	14	,	,	PUNCT
cana-2475	56	15	which	which	PRON
cana-2475	56	16	reduces	reduce	VERB
cana-2475	56	17	the	the	DET
cana-2475	56	18	need	need	NOUN
cana-2475	56	19	for	for	ADP
cana-2475	56	20	pointless	pointless	ADJ
cana-2475	56	21	data	datum	NOUN
cana-2475	56	22	exchanges	exchange	NOUN
cana-2475	56	23	.	.	PUNCT
cana-2475	57	1	this	this	DET
cana-2475	57	2	strategy	strategy	NOUN
cana-2475	57	3	increases	increase	VERB
cana-2475	57	4	overall	overall	ADJ
cana-2475	57	5	network	network	NOUN
cana-2475	57	6	throughput	throughput	NOUN
cana-2475	57	7	and	and	CCONJ
cana-2475	57	8	energy	energy	NOUN
cana-2475	57	9	efficiency	efficiency	NOUN
cana-2475	57	10	,	,	PUNCT
cana-2475	57	11	which	which	PRON
cana-2475	57	12	makes	make	VERB
cana-2475	57	13	it	it	PRON
cana-2475	57	14	appropriate	appropriate	ADJ
cana-2475	57	15	for	for	ADP
cana-2475	57	16	wireless	wireless	ADJ
cana-2475	57	17	sensor	sensor	NOUN
cana-2475	57	18	networks	network	NOUN
cana-2475	57	19	(	(	PUNCT
cana-2475	57	20	wsns	wsns	NOUN
cana-2475	57	21	)	)	PUNCT
cana-2475	57	22	where	where	SCONJ
cana-2475	57	23	sustained	sustain	VERB
cana-2475	57	24	network	network	NOUN
cana-2475	57	25	operations	operation	NOUN
cana-2475	57	26	are	be	AUX
cana-2475	57	27	hampered	hamper	VERB
cana-2475	57	28	by	by	ADP
cana-2475	57	29	resource	resource	NOUN
cana-2475	57	30	limits	limit	NOUN
cana-2475	57	31	and	and	CCONJ
cana-2475	57	32	changing	change	VERB
cana-2475	57	33	settings	setting	NOUN
cana-2475	57	34	.	.	PUNCT
cana-2475	58	1	[	[	X
cana-2475	58	2	5	5	NUM
cana-2475	58	3	]	]	PUNCT
cana-2475	58	4	isaac	isaac	PROPN
cana-2475	58	5	sajan	sajan	PROPN
cana-2475	58	6	,	,	PUNCT
cana-2475	58	7	r.	r.	PROPN
cana-2475	58	8	,	,	PUNCT
cana-2475	58	9	et	et	PROPN
cana-2475	58	10	al	al	PROPN
cana-2475	58	11	.	.	PROPN
cana-2475	59	1	(	(	PUNCT
cana-2475	59	2	2023	2023	NUM
cana-2475	59	3	):	):	PUNCT
cana-2475	59	4	the	the	DET
cana-2475	59	5	authors	author	NOUN
cana-2475	59	6	offer	offer	VERB
cana-2475	59	7	a	a	DET
cana-2475	59	8	grey	grey	ADJ
cana-2475	59	9	wolf	wolf	PROPN
cana-2475	59	10	optimization	optimization	NOUN
cana-2475	59	11	-	-	PUNCT
cana-2475	59	12	based	base	VERB
cana-2475	59	13	routing	routing	NOUN
cana-2475	59	14	system	system	NOUN
cana-2475	59	15	and	and	CCONJ
cana-2475	59	16	a	a	DET
cana-2475	59	17	three	three	NUM
cana-2475	59	18	-	-	PUNCT
cana-2475	59	19	level	level	NOUN
cana-2475	59	20	weighted	weight	VERB
cana-2475	59	21	trust	trust	NOUN
cana-2475	59	22	evaluation	evaluation	NOUN
cana-2475	59	23	for	for	ADP
cana-2475	59	24	wsns	wsns	NOUN
cana-2475	59	25	.	.	PUNCT
cana-2475	60	1	their	their	PRON
cana-2475	60	2	method	method	NOUN
cana-2475	60	3	optimises	optimise	NOUN
cana-2475	60	4	routing	route	VERB
cana-2475	60	5	patterns	pattern	NOUN
cana-2475	60	6	and	and	CCONJ
cana-2475	60	7	secures	secure	VERB
cana-2475	60	8	data	data	NOUN
cana-2475	60	9	aggregation	aggregation	NOUN
cana-2475	60	10	to	to	PART
cana-2475	60	11	increase	increase	VERB
cana-2475	60	12	energy	energy	NOUN
cana-2475	60	13	efficiency	efficiency	NOUN
cana-2475	60	14	.	.	PUNCT
cana-2475	61	1	the	the	DET
cana-2475	61	2	approach	approach	NOUN
cana-2475	61	3	reduces	reduce	VERB
cana-2475	61	4	duplicate	duplicate	ADJ
cana-2475	61	5	transmissions	transmission	NOUN
cana-2475	61	6	and	and	CCONJ
cana-2475	61	7	saves	save	VERB
cana-2475	61	8	energy	energy	NOUN
cana-2475	61	9	by	by	ADP
cana-2475	61	10	properly	properly	ADV
cana-2475	61	11	predicting	predict	VERB
cana-2475	61	12	trends	trend	NOUN
cana-2475	61	13	in	in	ADP
cana-2475	61	14	sensor	sensor	NOUN
cana-2475	61	15	data	datum	NOUN
cana-2475	61	16	through	through	ADP
cana-2475	61	17	the	the	DET
cana-2475	61	18	integration	integration	NOUN
cana-2475	61	19	of	of	ADP
cana-2475	61	20	neural	neural	ADJ
cana-2475	61	21	networks	network	NOUN
cana-2475	61	22	.	.	PUNCT
cana-2475	62	1	this	this	DET
cana-2475	62	2	approach	approach	NOUN
cana-2475	62	3	is	be	AUX
cana-2475	62	4	especially	especially	ADV
cana-2475	62	5	useful	useful	ADJ
cana-2475	62	6	for	for	ADP
cana-2475	62	7	applications	application	NOUN
cana-2475	62	8	like	like	ADP
cana-2475	62	9	military	military	NOUN
cana-2475	62	10	or	or	CCONJ
cana-2475	62	11	health	health	NOUN
cana-2475	62	12	monitoring	monitoring	NOUN
cana-2475	62	13	networks	network	NOUN
cana-2475	62	14	where	where	SCONJ
cana-2475	62	15	energy	energy	NOUN
cana-2475	62	16	-	-	PUNCT
cana-2475	62	17	efficient	efficient	ADJ
cana-2475	62	18	and	and	CCONJ
cana-2475	62	19	secure	secure	ADJ
cana-2475	62	20	data	datum	NOUN
cana-2475	62	21	management	management	NOUN
cana-2475	62	22	is	be	AUX
cana-2475	62	23	essential	essential	ADJ
cana-2475	62	24	.	.	PUNCT
cana-2475	63	1	[	[	X
cana-2475	63	2	6	6	NUM
cana-2475	63	3	]	]	PUNCT
cana-2475	63	4	naghibi	naghibi	ADJ
cana-2475	63	5	,	,	PUNCT
cana-2475	63	6	m.	m.	NOUN
cana-2475	63	7	,	,	PUNCT
cana-2475	63	8	&	&	CCONJ
cana-2475	63	9	barati	barati	PROPN
cana-2475	63	10	,	,	PUNCT
cana-2475	63	11	h.	h.	PROPN
cana-2475	63	12	(	(	PUNCT
cana-2475	63	13	2023	2023	NUM
cana-2475	63	14	)	)	PUNCT
cana-2475	63	15	they	they	PRON
cana-2475	63	16	provide	provide	VERB
cana-2475	63	17	a	a	DET
cana-2475	63	18	safe	safe	ADJ
cana-2475	63	19	hybrid	hybrid	ADJ
cana-2475	63	20	structure	structure	NOUN
cana-2475	63	21	that	that	PRON
cana-2475	63	22	combines	combine	VERB
cana-2475	63	23	data	data	NOUN
cana-2475	63	24	security	security	NOUN
cana-2475	63	25	and	and	CCONJ
cana-2475	63	26	energy	energy	NOUN
cana-2475	63	27	-	-	PUNCT
cana-2475	63	28	efficient	efficient	ADJ
cana-2475	63	29	routing	routing	NOUN
cana-2475	63	30	for	for	ADP
cana-2475	63	31	data	data	NOUN
cana-2475	63	32	aggregation	aggregation	NOUN
cana-2475	63	33	in	in	ADP
cana-2475	63	34	wireless	wireless	ADJ
cana-2475	63	35	sensor	sensor	NOUN
cana-2475	63	36	networks	network	NOUN
cana-2475	63	37	.	.	PUNCT
cana-2475	64	1	the	the	DET
cana-2475	64	2	approach	approach	NOUN
cana-2475	64	3	provides	provide	VERB
cana-2475	64	4	energyefficient	energyefficient	NOUN
cana-2475	64	5	operation	operation	NOUN
cana-2475	64	6	by	by	ADP
cana-2475	64	7	employing	employ	VERB
cana-2475	64	8	predictive	predictive	ADJ
cana-2475	64	9	analytics	analytic	NOUN
cana-2475	64	10	and	and	CCONJ
cana-2475	64	11	minimising	minimise	VERB
cana-2475	64	12	redundant	redundant	ADJ
cana-2475	64	13	transmissions	transmission	NOUN
cana-2475	64	14	.	.	PUNCT
cana-2475	65	1	neural	neural	ADJ
cana-2475	65	2	network	network	NOUN
cana-2475	65	3	integration	integration	NOUN
cana-2475	65	4	reduces	reduce	VERB
cana-2475	65	5	energy	energy	NOUN
cana-2475	65	6	usage	usage	NOUN
cana-2475	65	7	and	and	CCONJ
cana-2475	65	8	improves	improve	VERB
cana-2475	65	9	network	network	NOUN
cana-2475	65	10	dependability	dependability	NOUN
cana-2475	65	11	by	by	ADP
cana-2475	65	12	boosting	boost	VERB
cana-2475	65	13	prediction	prediction	NOUN
cana-2475	65	14	accuracy	accuracy	NOUN
cana-2475	65	15	for	for	ADP
cana-2475	65	16	sensor	sensor	NOUN
cana-2475	65	17	data	datum	NOUN
cana-2475	65	18	.	.	PUNCT
cana-2475	66	1	this	this	DET
cana-2475	66	2	method	method	NOUN
cana-2475	66	3	works	work	VERB
cana-2475	66	4	well	well	ADV
cana-2475	66	5	for	for	ADP
cana-2475	66	6	vital	vital	ADJ
cana-2475	66	7	applications	application	NOUN
cana-2475	66	8	including	include	VERB
cana-2475	66	9	environmental	environmental	ADJ
cana-2475	66	10	monitoring	monitoring	NOUN
cana-2475	66	11	systems	system	NOUN
cana-2475	66	12	and	and	CCONJ
cana-2475	66	13	healthcare	healthcare	NOUN
cana-2475	66	14	that	that	PRON
cana-2475	66	15	demand	demand	VERB
cana-2475	66	16	safe	safe	ADJ
cana-2475	66	17	and	and	CCONJ
cana-2475	66	18	energy	energy	NOUN
cana-2475	66	19	-	-	PUNCT
cana-2475	66	20	efficient	efficient	ADJ
cana-2475	66	21	data	datum	NOUN
cana-2475	66	22	management	management	NOUN
cana-2475	66	23	.	.	PUNCT
cana-2475	67	1	communications	communication	NOUN
cana-2475	67	2	on	on	ADP
cana-2475	67	3	applied	apply	VERB
cana-2475	67	4	nonlinear	nonlinear	ADJ
cana-2475	67	5	analysis	analysis	NOUN
cana-2475	67	6	issn	issn	NOUN
cana-2475	67	7	:	:	PUNCT
cana-2475	67	8	1074	1074	NUM
cana-2475	67	9	-	-	PUNCT
cana-2475	67	10	133x	133x	NUM
cana-2475	67	11	vol	vol	NOUN
cana-2475	67	12	32	32	NUM
cana-2475	67	13	no	no	NOUN
cana-2475	67	14	.	.	PUNCT
cana-2475	68	1	2s	2s	NUM
cana-2475	68	2	(	(	PUNCT
cana-2475	68	3	2025	2025	NUM
cana-2475	68	4	)	)	PUNCT
cana-2475	68	5	469	469	NUM
cana-2475	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	69	1	[	[	X
cana-2475	69	2	7	7	X
cana-2475	69	3	]	]	PUNCT
cana-2475	69	4	vasim	vasim	NOUN
cana-2475	69	5	babu	babu	PROPN
cana-2475	69	6	,	,	PUNCT
cana-2475	69	7	m.	m.	NOUN
cana-2475	69	8	,	,	PUNCT
cana-2475	69	9	et	et	PROPN
cana-2475	69	10	al	al	PROPN
cana-2475	69	11	.	.	PROPN
cana-2475	69	12	(	(	PUNCT
cana-2475	69	13	2023	2023	NUM
cana-2475	69	14	):	):	PUNCT
cana-2475	69	15	an	an	DET
cana-2475	69	16	enhanced	enhanced	ADJ
cana-2475	69	17	clustering	clustering	NOUN
cana-2475	69	18	-	-	PUNCT
cana-2475	69	19	based	base	VERB
cana-2475	69	20	routing	routing	NOUN
cana-2475	69	21	technique	technique	NOUN
cana-2475	69	22	for	for	ADP
cana-2475	69	23	wsn	wsn	PROPN
cana-2475	69	24	energy	energy	NOUN
cana-2475	69	25	efficiency	efficiency	NOUN
cana-2475	69	26	is	be	AUX
cana-2475	69	27	presented	present	VERB
cana-2475	69	28	in	in	ADP
cana-2475	69	29	this	this	DET
cana-2475	69	30	paper	paper	NOUN
cana-2475	69	31	.	.	PUNCT
cana-2475	70	1	by	by	ADP
cana-2475	70	2	optimising	optimise	VERB
cana-2475	70	3	routing	routing	NOUN
cana-2475	70	4	and	and	CCONJ
cana-2475	70	5	concentrating	concentrate	VERB
cana-2475	70	6	on	on	ADP
cana-2475	70	7	secure	secure	ADJ
cana-2475	70	8	data	datum	NOUN
cana-2475	70	9	aggregation	aggregation	NOUN
cana-2475	70	10	,	,	PUNCT
cana-2475	70	11	the	the	DET
cana-2475	70	12	technique	technique	NOUN
cana-2475	70	13	reduces	reduce	VERB
cana-2475	70	14	energy	energy	NOUN
cana-2475	70	15	consumption	consumption	NOUN
cana-2475	70	16	throughout	throughout	ADP
cana-2475	70	17	the	the	DET
cana-2475	70	18	network	network	NOUN
cana-2475	70	19	.	.	PUNCT
cana-2475	71	1	by	by	ADP
cana-2475	71	2	predicting	predict	VERB
cana-2475	71	3	sensor	sensor	NOUN
cana-2475	71	4	data	datum	NOUN
cana-2475	71	5	patterns	pattern	NOUN
cana-2475	71	6	,	,	PUNCT
cana-2475	71	7	neural	neural	ADJ
cana-2475	71	8	networkbased	networkbase	VERB
cana-2475	71	9	predictions	prediction	NOUN
cana-2475	71	10	improve	improve	VERB
cana-2475	71	11	protocol	protocol	NOUN
cana-2475	71	12	performance	performance	NOUN
cana-2475	71	13	by	by	ADP
cana-2475	71	14	reducing	reduce	VERB
cana-2475	71	15	data	datum	NOUN
cana-2475	71	16	transmissions	transmission	NOUN
cana-2475	71	17	and	and	CCONJ
cana-2475	71	18	extending	extend	VERB
cana-2475	71	19	network	network	NOUN
cana-2475	71	20	lifetime	lifetime	NOUN
cana-2475	71	21	.	.	PUNCT
cana-2475	72	1	the	the	DET
cana-2475	72	2	strategy	strategy	NOUN
cana-2475	72	3	works	work	VERB
cana-2475	72	4	particularly	particularly	ADV
cana-2475	72	5	well	well	ADV
cana-2475	72	6	in	in	ADP
cana-2475	72	7	settings	setting	NOUN
cana-2475	72	8	with	with	ADP
cana-2475	72	9	constrained	constrained	ADJ
cana-2475	72	10	resources	resource	NOUN
cana-2475	72	11	and	and	CCONJ
cana-2475	72	12	strict	strict	ADJ
cana-2475	72	13	requirements	requirement	NOUN
cana-2475	72	14	for	for	ADP
cana-2475	72	15	energy	energy	NOUN
cana-2475	72	16	conservation	conservation	NOUN
cana-2475	72	17	and	and	CCONJ
cana-2475	72	18	data	datum	NOUN
cana-2475	72	19	protection	protection	NOUN
cana-2475	72	20	.	.	PUNCT
cana-2475	73	1	[	[	X
cana-2475	73	2	8	8	NUM
cana-2475	73	3	]	]	X
cana-2475	73	4	sharma	sharma	PROPN
cana-2475	73	5	,	,	PUNCT
cana-2475	73	6	r.	r.	PROPN
cana-2475	73	7	,	,	PUNCT
cana-2475	73	8	et	et	PROPN
cana-2475	73	9	al	al	PROPN
cana-2475	73	10	.	.	PROPN
cana-2475	74	1	(	(	PUNCT
cana-2475	74	2	2023	2023	NUM
cana-2475	74	3	):	):	PUNCT
cana-2475	74	4	a	a	DET
cana-2475	74	5	whale	whale	NOUN
cana-2475	74	6	optimisation	optimisation	NOUN
cana-2475	74	7	technique	technique	NOUN
cana-2475	74	8	is	be	AUX
cana-2475	74	9	suggested	suggest	VERB
cana-2475	74	10	by	by	ADP
cana-2475	74	11	the	the	DET
cana-2475	74	12	authors	author	NOUN
cana-2475	74	13	for	for	ADP
cana-2475	74	14	safe	safe	ADJ
cana-2475	74	15	and	and	CCONJ
cana-2475	74	16	energy	energy	NOUN
cana-2475	74	17	-	-	PUNCT
cana-2475	74	18	conscious	conscious	ADJ
cana-2475	74	19	data	data	NOUN
cana-2475	74	20	aggregation	aggregation	NOUN
cana-2475	74	21	in	in	ADP
cana-2475	74	22	wsns	wsns	PROPN
cana-2475	74	23	.	.	PUNCT
cana-2475	75	1	their	their	PRON
cana-2475	75	2	model	model	NOUN
cana-2475	75	3	minimises	minimise	VERB
cana-2475	75	4	energy	energy	NOUN
cana-2475	75	5	consumption	consumption	NOUN
cana-2475	75	6	,	,	PUNCT
cana-2475	75	7	secures	secure	VERB
cana-2475	75	8	data	data	NOUN
cana-2475	75	9	communications	communication	NOUN
cana-2475	75	10	,	,	PUNCT
cana-2475	75	11	and	and	CCONJ
cana-2475	75	12	chooses	choose	VERB
cana-2475	75	13	the	the	DET
cana-2475	75	14	best	good	ADJ
cana-2475	75	15	cluster	cluster	NOUN
cana-2475	75	16	heads	head	NOUN
cana-2475	75	17	.	.	PUNCT
cana-2475	76	1	the	the	DET
cana-2475	76	2	system	system	NOUN
cana-2475	76	3	further	far	ADV
cana-2475	76	4	reduces	reduce	VERB
cana-2475	76	5	duplicate	duplicate	ADJ
cana-2475	76	6	transmissions	transmission	NOUN
cana-2475	76	7	by	by	ADP
cana-2475	76	8	anticipating	anticipate	VERB
cana-2475	76	9	sensor	sensor	NOUN
cana-2475	76	10	data	datum	NOUN
cana-2475	76	11	patterns	pattern	NOUN
cana-2475	76	12	through	through	ADP
cana-2475	76	13	the	the	DET
cana-2475	76	14	integration	integration	NOUN
cana-2475	76	15	of	of	ADP
cana-2475	76	16	neural	neural	ADJ
cana-2475	76	17	networks	network	NOUN
cana-2475	76	18	for	for	ADP
cana-2475	76	19	predictive	predictive	ADJ
cana-2475	76	20	modelling	modelling	NOUN
cana-2475	76	21	.	.	PUNCT
cana-2475	77	1	this	this	DET
cana-2475	77	2	lowenergy	lowenergy	PROPN
cana-2475	77	3	method	method	PROPN
cana-2475	77	4	works	work	VERB
cana-2475	77	5	well	well	ADV
cana-2475	77	6	in	in	ADP
cana-2475	77	7	situations	situation	NOUN
cana-2475	77	8	like	like	ADP
cana-2475	77	9	smart	smart	ADJ
cana-2475	77	10	city	city	NOUN
cana-2475	77	11	networks	network	NOUN
cana-2475	77	12	and	and	CCONJ
cana-2475	77	13	environmental	environmental	ADJ
cana-2475	77	14	monitoring	monitoring	NOUN
cana-2475	77	15	systems	system	NOUN
cana-2475	77	16	where	where	SCONJ
cana-2475	77	17	safe	safe	ADJ
cana-2475	77	18	data	datum	NOUN
cana-2475	77	19	handling	handling	NOUN
cana-2475	77	20	and	and	CCONJ
cana-2475	77	21	energy	energy	NOUN
cana-2475	77	22	efficiency	efficiency	NOUN
cana-2475	77	23	are	be	AUX
cana-2475	77	24	critical	critical	ADJ
cana-2475	77	25	.	.	PUNCT
cana-2475	78	1	[	[	X
cana-2475	78	2	9	9	NUM
cana-2475	78	3	]	]	X
cana-2475	78	4	peng	peng	PROPN
cana-2475	78	5	,	,	PUNCT
cana-2475	78	6	z.	z.	PROPN
cana-2475	78	7	,	,	PUNCT
cana-2475	78	8	et	et	PROPN
cana-2475	78	9	al	al	PROPN
cana-2475	78	10	.	.	PROPN
cana-2475	78	11	(	(	PUNCT
cana-2475	78	12	2023	2023	NUM
cana-2475	78	13	):	):	PUNCT
cana-2475	78	14	an	an	DET
cana-2475	78	15	energy	energy	NOUN
cana-2475	78	16	-	-	PUNCT
cana-2475	78	17	aware	aware	ADJ
cana-2475	78	18	routing	routing	NOUN
cana-2475	78	19	technique	technique	NOUN
cana-2475	78	20	for	for	ADP
cana-2475	78	21	particle	particle	NOUN
cana-2475	78	22	swarm	swarm	NOUN
cana-2475	78	23	optimisation	optimisation	NOUN
cana-2475	78	24	(	(	PUNCT
cana-2475	78	25	pso	pso	NOUN
cana-2475	78	26	)	)	PUNCT
cana-2475	78	27	in	in	ADP
cana-2475	78	28	wsns	wsns	NOUN
cana-2475	78	29	is	be	AUX
cana-2475	78	30	presented	present	VERB
cana-2475	78	31	in	in	ADP
cana-2475	78	32	this	this	DET
cana-2475	78	33	paper	paper	NOUN
cana-2475	78	34	.	.	PUNCT
cana-2475	79	1	by	by	ADP
cana-2475	79	2	minimising	minimise	VERB
cana-2475	79	3	pointless	pointless	ADJ
cana-2475	79	4	data	datum	NOUN
cana-2475	79	5	transmissions	transmission	NOUN
cana-2475	79	6	,	,	PUNCT
cana-2475	79	7	the	the	DET
cana-2475	79	8	technique	technique	NOUN
cana-2475	79	9	minimises	minimise	VERB
cana-2475	79	10	energy	energy	NOUN
cana-2475	79	11	consumption	consumption	NOUN
cana-2475	79	12	while	while	SCONJ
cana-2475	79	13	optimising	optimise	VERB
cana-2475	79	14	routing	routing	NOUN
cana-2475	79	15	paths	path	NOUN
cana-2475	79	16	.	.	PUNCT
cana-2475	80	1	further	far	ADV
cana-2475	80	2	improving	improve	VERB
cana-2475	80	3	energy	energy	NOUN
cana-2475	80	4	efficiency	efficiency	NOUN
cana-2475	80	5	and	and	CCONJ
cana-2475	80	6	network	network	NOUN
cana-2475	80	7	performance	performance	NOUN
cana-2475	80	8	,	,	PUNCT
cana-2475	80	9	the	the	DET
cana-2475	80	10	approach	approach	NOUN
cana-2475	80	11	incorporates	incorporate	VERB
cana-2475	80	12	neural	neural	ADJ
cana-2475	80	13	networks	network	NOUN
cana-2475	80	14	to	to	PART
cana-2475	80	15	predict	predict	VERB
cana-2475	80	16	sensor	sensor	NOUN
cana-2475	80	17	data	datum	NOUN
cana-2475	80	18	.	.	PUNCT
cana-2475	81	1	applications	application	NOUN
cana-2475	81	2	like	like	ADP
cana-2475	81	3	industrial	industrial	ADJ
cana-2475	81	4	automation	automation	NOUN
cana-2475	81	5	and	and	CCONJ
cana-2475	81	6	environmental	environmental	ADJ
cana-2475	81	7	monitoring	monitoring	NOUN
cana-2475	81	8	,	,	PUNCT
cana-2475	81	9	where	where	SCONJ
cana-2475	81	10	real	real	ADJ
cana-2475	81	11	-	-	PUNCT
cana-2475	81	12	time	time	NOUN
cana-2475	81	13	data	datum	NOUN
cana-2475	81	14	processing	processing	NOUN
cana-2475	81	15	and	and	CCONJ
cana-2475	81	16	energy	energy	NOUN
cana-2475	81	17	conservation	conservation	NOUN
cana-2475	81	18	are	be	AUX
cana-2475	81	19	essential	essential	ADJ
cana-2475	81	20	,	,	PUNCT
cana-2475	81	21	benefit	benefit	VERB
cana-2475	81	22	greatly	greatly	ADV
cana-2475	81	23	from	from	ADP
cana-2475	81	24	this	this	DET
cana-2475	81	25	strategy	strategy	NOUN
cana-2475	81	26	.	.	PUNCT
cana-2475	82	1	[	[	X
cana-2475	82	2	10	10	NUM
cana-2475	82	3	]	]	X
cana-2475	82	4	hajiee	hajiee	PROPN
cana-2475	82	5	,	,	PUNCT
cana-2475	82	6	m.	m.	NOUN
cana-2475	82	7	,	,	PUNCT
cana-2475	82	8	et	et	PROPN
cana-2475	82	9	al	al	PROPN
cana-2475	82	10	.	.	PROPN
cana-2475	83	1	(	(	PUNCT
cana-2475	83	2	2023	2023	NUM
cana-2475	83	3	):	):	PUNCT
cana-2475	83	4	the	the	DET
cana-2475	83	5	researchers	researcher	NOUN
cana-2475	83	6	suggest	suggest	VERB
cana-2475	83	7	a	a	DET
cana-2475	83	8	multipath	multipath	NOUN
cana-2475	83	9	route	route	NOUN
cana-2475	83	10	-	-	PUNCT
cana-2475	83	11	based	base	VERB
cana-2475	83	12	,	,	PUNCT
cana-2475	83	13	energyaware	energyaware	ADJ
cana-2475	83	14	trust	trust	NOUN
cana-2475	83	15	-	-	PUNCT
cana-2475	83	16	based	base	VERB
cana-2475	83	17	routing	routing	NOUN
cana-2475	83	18	algorithm	algorithm	NOUN
cana-2475	83	19	for	for	ADP
cana-2475	83	20	wsns	wsns	NOUN
cana-2475	83	21	.	.	PUNCT
cana-2475	84	1	through	through	ADP
cana-2475	84	2	the	the	DET
cana-2475	84	3	elimination	elimination	NOUN
cana-2475	84	4	of	of	ADP
cana-2475	84	5	unnecessary	unnecessary	ADJ
cana-2475	84	6	transmissions	transmission	NOUN
cana-2475	84	7	and	and	CCONJ
cana-2475	84	8	the	the	DET
cana-2475	84	9	improvement	improvement	NOUN
cana-2475	84	10	of	of	ADP
cana-2475	84	11	data	datum	NOUN
cana-2475	84	12	aggregation	aggregation	NOUN
cana-2475	84	13	dependability	dependability	NOUN
cana-2475	84	14	,	,	PUNCT
cana-2475	84	15	their	their	PRON
cana-2475	84	16	approach	approach	NOUN
cana-2475	84	17	aims	aim	VERB
cana-2475	84	18	to	to	PART
cana-2475	84	19	maximise	maximise	VERB
cana-2475	84	20	energy	energy	NOUN
cana-2475	84	21	consumption	consumption	NOUN
cana-2475	84	22	.	.	PUNCT
cana-2475	85	1	the	the	DET
cana-2475	85	2	approach	approach	NOUN
cana-2475	85	3	further	far	ADV
cana-2475	85	4	minimises	minimise	NOUN
cana-2475	85	5	energy	energy	NOUN
cana-2475	85	6	use	use	NOUN
cana-2475	85	7	by	by	ADP
cana-2475	85	8	precisely	precisely	ADV
cana-2475	85	9	forecasting	forecasting	NOUN
cana-2475	85	10	sensor	sensor	NOUN
cana-2475	85	11	data	datum	NOUN
cana-2475	85	12	patterns	pattern	NOUN
cana-2475	85	13	through	through	ADP
cana-2475	85	14	the	the	DET
cana-2475	85	15	integration	integration	NOUN
cana-2475	85	16	of	of	ADP
cana-2475	85	17	neural	neural	ADJ
cana-2475	85	18	networks	network	NOUN
cana-2475	85	19	for	for	ADP
cana-2475	85	20	predictive	predictive	ADJ
cana-2475	85	21	analytics	analytic	NOUN
cana-2475	85	22	.	.	PUNCT
cana-2475	86	1	this	this	DET
cana-2475	86	2	method	method	NOUN
cana-2475	86	3	works	work	VERB
cana-2475	86	4	well	well	ADV
cana-2475	86	5	in	in	ADP
cana-2475	86	6	situations	situation	NOUN
cana-2475	86	7	like	like	ADP
cana-2475	86	8	industrial	industrial	ADJ
cana-2475	86	9	monitoring	monitoring	NOUN
cana-2475	86	10	systems	system	NOUN
cana-2475	86	11	and	and	CCONJ
cana-2475	86	12	smart	smart	ADJ
cana-2475	86	13	grids	grid	NOUN
cana-2475	86	14	where	where	SCONJ
cana-2475	86	15	safe	safe	ADJ
cana-2475	86	16	and	and	CCONJ
cana-2475	86	17	energy	energy	NOUN
cana-2475	86	18	-	-	PUNCT
cana-2475	86	19	efficient	efficient	ADJ
cana-2475	86	20	data	datum	NOUN
cana-2475	86	21	management	management	NOUN
cana-2475	86	22	is	be	AUX
cana-2475	86	23	crucial	crucial	ADJ
cana-2475	86	24	.	.	PUNCT
cana-2475	87	1	[	[	X
cana-2475	87	2	11	11	NUM
cana-2475	87	3	]	]	X
cana-2475	87	4	saba	saba	PROPN
cana-2475	87	5	,	,	PUNCT
cana-2475	87	6	t.	t.	PROPN
cana-2475	87	7	,	,	PUNCT
cana-2475	87	8	et	et	PROPN
cana-2475	87	9	al	al	PROPN
cana-2475	87	10	.	.	PROPN
cana-2475	87	11	(	(	PUNCT
cana-2475	87	12	2023	2023	NUM
cana-2475	87	13	)	)	PUNCT
cana-2475	87	14	this	this	DET
cana-2475	87	15	work	work	NOUN
cana-2475	87	16	proposes	propose	VERB
cana-2475	87	17	intelligent	intelligent	ADJ
cana-2475	87	18	routing	routing	NOUN
cana-2475	87	19	for	for	ADP
cana-2475	87	20	energy	energy	NOUN
cana-2475	87	21	-	-	PUNCT
cana-2475	87	22	aware	aware	ADJ
cana-2475	87	23	wsns	wsns	NOUN
cana-2475	87	24	using	use	VERB
cana-2475	87	25	graph	graph	NOUN
cana-2475	87	26	clustering	cluster	VERB
cana-2475	87	27	.	.	PUNCT
cana-2475	88	1	through	through	ADP
cana-2475	88	2	the	the	DET
cana-2475	88	3	clustering	clustering	NOUN
cana-2475	88	4	of	of	ADP
cana-2475	88	5	sensor	sensor	NOUN
cana-2475	88	6	nodes	node	NOUN
cana-2475	88	7	and	and	CCONJ
cana-2475	88	8	the	the	DET
cana-2475	88	9	optimisation	optimisation	NOUN
cana-2475	88	10	of	of	ADP
cana-2475	88	11	routing	route	VERB
cana-2475	88	12	patterns	pattern	NOUN
cana-2475	88	13	,	,	PUNCT
cana-2475	88	14	the	the	DET
cana-2475	88	15	model	model	NOUN
cana-2475	88	16	lowers	lower	VERB
cana-2475	88	17	energy	energy	NOUN
cana-2475	88	18	usage	usage	NOUN
cana-2475	88	19	.	.	PUNCT
cana-2475	89	1	prediction	prediction	NOUN
cana-2475	89	2	models	model	NOUN
cana-2475	89	3	based	base	VERB
cana-2475	89	4	on	on	ADP
cana-2475	89	5	neural	neural	ADJ
cana-2475	89	6	networks	network	NOUN
cana-2475	89	7	improve	improve	VERB
cana-2475	89	8	system	system	NOUN
cana-2475	89	9	performance	performance	NOUN
cana-2475	89	10	by	by	ADP
cana-2475	89	11	reducing	reduce	VERB
cana-2475	89	12	redundant	redundant	ADJ
cana-2475	89	13	transmissions	transmission	NOUN
cana-2475	89	14	,	,	PUNCT
cana-2475	89	15	predicting	predict	VERB
cana-2475	89	16	patterns	pattern	NOUN
cana-2475	89	17	in	in	ADP
cana-2475	89	18	sensor	sensor	NOUN
cana-2475	89	19	data	datum	NOUN
cana-2475	89	20	,	,	PUNCT
cana-2475	89	21	and	and	CCONJ
cana-2475	89	22	enhancing	enhance	VERB
cana-2475	89	23	network	network	NOUN
cana-2475	89	24	resilience	resilience	NOUN
cana-2475	89	25	.	.	PUNCT
cana-2475	90	1	this	this	DET
cana-2475	90	2	method	method	NOUN
cana-2475	90	3	works	work	VERB
cana-2475	90	4	especially	especially	ADV
cana-2475	90	5	well	well	ADV
cana-2475	90	6	in	in	ADP
cana-2475	90	7	applications	application	NOUN
cana-2475	90	8	like	like	ADP
cana-2475	90	9	environmental	environmental	ADJ
cana-2475	90	10	monitoring	monitoring	NOUN
cana-2475	90	11	and	and	CCONJ
cana-2475	90	12	smart	smart	ADJ
cana-2475	90	13	city	city	NOUN
cana-2475	90	14	infrastructures	infrastructure	NOUN
cana-2475	90	15	where	where	SCONJ
cana-2475	90	16	large	large	ADJ
cana-2475	90	17	-	-	PUNCT
cana-2475	90	18	scale	scale	NOUN
cana-2475	90	19	data	data	NOUN
cana-2475	90	20	aggregation	aggregation	NOUN
cana-2475	90	21	and	and	CCONJ
cana-2475	90	22	energy	energy	NOUN
cana-2475	90	23	conservation	conservation	NOUN
cana-2475	90	24	are	be	AUX
cana-2475	90	25	essential	essential	ADJ
cana-2475	90	26	.	.	PUNCT
cana-2475	91	1	[	[	X
cana-2475	91	2	12	12	NUM
cana-2475	91	3	]	]	PUNCT
cana-2475	91	4	mohankumar	mohankumar	PROPN
cana-2475	91	5	,	,	PUNCT
cana-2475	91	6	b.	b.	PROPN
cana-2475	91	7	et	et	PROPN
cana-2475	91	8	al	al	PROPN
cana-2475	91	9	.	.	PROPN
cana-2475	91	10	(	(	PUNCT
cana-2475	91	11	2023	2023	NUM
cana-2475	91	12	):	):	PUNCT
cana-2475	91	13	the	the	DET
cana-2475	91	14	authors	author	NOUN
cana-2475	91	15	suggest	suggest	VERB
cana-2475	91	16	an	an	DET
cana-2475	91	17	ideal	ideal	ADJ
cana-2475	91	18	routing	routing	NOUN
cana-2475	91	19	strategy	strategy	NOUN
cana-2475	91	20	that	that	PRON
cana-2475	91	21	lengthens	lengthen	VERB
cana-2475	91	22	the	the	DET
cana-2475	91	23	life	life	NOUN
cana-2475	91	24	of	of	ADP
cana-2475	91	25	networks	network	NOUN
cana-2475	91	26	by	by	ADP
cana-2475	91	27	lowering	lower	VERB
cana-2475	91	28	energy	energy	NOUN
cana-2475	91	29	usage	usage	NOUN
cana-2475	91	30	in	in	ADP
cana-2475	91	31	wireless	wireless	ADJ
cana-2475	91	32	sensor	sensor	NOUN
cana-2475	91	33	networks	network	NOUN
cana-2475	91	34	.	.	PUNCT
cana-2475	92	1	the	the	DET
cana-2475	92	2	protocol	protocol	NOUN
cana-2475	92	3	predicts	predict	VERB
cana-2475	92	4	sensor	sensor	NOUN
cana-2475	92	5	data	datum	NOUN
cana-2475	92	6	patterns	pattern	NOUN
cana-2475	92	7	by	by	ADP
cana-2475	92	8	integrating	integrate	VERB
cana-2475	92	9	neural	neural	ADJ
cana-2475	92	10	communications	communication	NOUN
cana-2475	92	11	on	on	ADP
cana-2475	92	12	applied	apply	VERB
cana-2475	92	13	nonlinear	nonlinear	ADJ
cana-2475	92	14	analysis	analysis	NOUN
cana-2475	92	15	issn	issn	NOUN
cana-2475	92	16	:	:	PUNCT
cana-2475	92	17	1074	1074	NUM
cana-2475	92	18	-	-	PUNCT
cana-2475	92	19	133x	133x	NUM
cana-2475	92	20	vol	vol	NOUN
cana-2475	92	21	32	32	NUM
cana-2475	92	22	no	no	NOUN
cana-2475	92	23	.	.	PUNCT
cana-2475	93	1	2s	2s	NUM
cana-2475	93	2	(	(	PUNCT
cana-2475	93	3	2025	2025	NUM
cana-2475	93	4	)	)	PUNCT
cana-2475	93	5	470	470	NUM
cana-2475	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	93	7	network	network	NOUN
cana-2475	93	8	-	-	PUNCT
cana-2475	93	9	based	base	VERB
cana-2475	93	10	prediction	prediction	NOUN
cana-2475	93	11	models	model	NOUN
cana-2475	93	12	,	,	PUNCT
cana-2475	93	13	which	which	PRON
cana-2475	93	14	reduces	reduce	VERB
cana-2475	93	15	the	the	DET
cana-2475	93	16	frequency	frequency	NOUN
cana-2475	93	17	of	of	ADP
cana-2475	93	18	data	datum	NOUN
cana-2475	93	19	transmissions	transmission	NOUN
cana-2475	93	20	.	.	PUNCT
cana-2475	94	1	this	this	DET
cana-2475	94	2	method	method	NOUN
cana-2475	94	3	increases	increase	VERB
cana-2475	94	4	the	the	DET
cana-2475	94	5	overall	overall	ADJ
cana-2475	94	6	efficiency	efficiency	NOUN
cana-2475	94	7	of	of	ADP
cana-2475	94	8	the	the	DET
cana-2475	94	9	network	network	NOUN
cana-2475	94	10	and	and	CCONJ
cana-2475	94	11	is	be	AUX
cana-2475	94	12	especially	especially	ADV
cana-2475	94	13	helpful	helpful	ADJ
cana-2475	94	14	in	in	ADP
cana-2475	94	15	situations	situation	NOUN
cana-2475	94	16	where	where	SCONJ
cana-2475	94	17	unpredictable	unpredictable	ADJ
cana-2475	94	18	conditions	condition	NOUN
cana-2475	94	19	and	and	CCONJ
cana-2475	94	20	energy	energy	NOUN
cana-2475	94	21	limitations	limitation	NOUN
cana-2475	94	22	make	make	VERB
cana-2475	94	23	it	it	PRON
cana-2475	94	24	difficult	difficult	ADJ
cana-2475	94	25	for	for	SCONJ
cana-2475	94	26	sensor	sensor	NOUN
cana-2475	94	27	networks	network	NOUN
cana-2475	94	28	to	to	PART
cana-2475	94	29	operate	operate	VERB
cana-2475	94	30	continuously	continuously	ADV
cana-2475	94	31	.	.	PUNCT
cana-2475	95	1	[	[	X
cana-2475	95	2	13	13	NUM
cana-2475	95	3	]	]	PUNCT
cana-2475	95	4	panchal	panchal	NOUN
cana-2475	95	5	,	,	PUNCT
cana-2475	95	6	a.	a.	NOUN
cana-2475	95	7	et	et	PROPN
cana-2475	95	8	al	al	PROPN
cana-2475	95	9	.	.	PROPN
cana-2475	96	1	(	(	PUNCT
cana-2475	96	2	2023	2023	NUM
cana-2475	96	3	):	):	PUNCT
cana-2475	96	4	they	they	PRON
cana-2475	96	5	describe	describe	VERB
cana-2475	96	6	a	a	DET
cana-2475	96	7	distance	distance	NOUN
cana-2475	96	8	-	-	PUNCT
cana-2475	96	9	based	base	VERB
cana-2475	96	10	cluster	cluster	NOUN
cana-2475	96	11	head	head	NOUN
cana-2475	96	12	selection	selection	NOUN
cana-2475	96	13	and	and	CCONJ
cana-2475	96	14	routing	route	VERB
cana-2475	96	15	algorithm	algorithm	NOUN
cana-2475	96	16	for	for	ADP
cana-2475	96	17	wsns	wsns	NOUN
cana-2475	96	18	that	that	PRON
cana-2475	96	19	takes	take	VERB
cana-2475	96	20	energy	energy	NOUN
cana-2475	96	21	into	into	ADP
cana-2475	96	22	account	account	NOUN
cana-2475	96	23	.	.	PUNCT
cana-2475	97	1	through	through	ADP
cana-2475	97	2	the	the	DET
cana-2475	97	3	optimisation	optimisation	NOUN
cana-2475	97	4	of	of	ADP
cana-2475	97	5	routing	route	VERB
cana-2475	97	6	pathways	pathway	NOUN
cana-2475	97	7	and	and	CCONJ
cana-2475	97	8	cluster	cluster	NOUN
cana-2475	97	9	head	head	NOUN
cana-2475	97	10	selection	selection	NOUN
cana-2475	97	11	,	,	PUNCT
cana-2475	97	12	the	the	DET
cana-2475	97	13	protocol	protocol	NOUN
cana-2475	97	14	reduces	reduce	VERB
cana-2475	97	15	energy	energy	NOUN
cana-2475	97	16	usage	usage	NOUN
cana-2475	97	17	.	.	PUNCT
cana-2475	98	1	the	the	DET
cana-2475	98	2	system	system	NOUN
cana-2475	98	3	predicts	predict	VERB
cana-2475	98	4	sensor	sensor	NOUN
cana-2475	98	5	data	datum	NOUN
cana-2475	98	6	accurately	accurately	ADV
cana-2475	98	7	by	by	ADP
cana-2475	98	8	including	include	VERB
cana-2475	98	9	neural	neural	ADJ
cana-2475	98	10	networkbased	networkbase	VERB
cana-2475	98	11	predictions	prediction	NOUN
cana-2475	98	12	,	,	PUNCT
cana-2475	98	13	which	which	PRON
cana-2475	98	14	minimises	minimise	NOUN
cana-2475	98	15	redundant	redundant	VERB
cana-2475	98	16	transmissions	transmission	NOUN
cana-2475	98	17	and	and	CCONJ
cana-2475	98	18	saves	save	VERB
cana-2475	98	19	energy	energy	NOUN
cana-2475	98	20	.	.	PUNCT
cana-2475	99	1	this	this	DET
cana-2475	99	2	method	method	NOUN
cana-2475	99	3	works	work	VERB
cana-2475	99	4	very	very	ADV
cana-2475	99	5	well	well	ADV
cana-2475	99	6	in	in	ADP
cana-2475	99	7	applications	application	NOUN
cana-2475	99	8	like	like	ADP
cana-2475	99	9	health	health	NOUN
cana-2475	99	10	monitoring	monitoring	NOUN
cana-2475	99	11	and	and	CCONJ
cana-2475	99	12	smart	smart	ADJ
cana-2475	99	13	city	city	NOUN
cana-2475	99	14	networks	network	NOUN
cana-2475	99	15	where	where	SCONJ
cana-2475	99	16	data	datum	NOUN
cana-2475	99	17	quality	quality	NOUN
cana-2475	99	18	and	and	CCONJ
cana-2475	99	19	energy	energy	NOUN
cana-2475	99	20	efficiency	efficiency	NOUN
cana-2475	99	21	are	be	AUX
cana-2475	99	22	vital	vital	ADJ
cana-2475	99	23	.	.	PUNCT
cana-2475	100	1	[	[	X
cana-2475	100	2	14	14	NUM
cana-2475	100	3	]	]	X
cana-2475	100	4	mehta	mehta	PROPN
cana-2475	100	5	,	,	PUNCT
cana-2475	100	6	d.	d.	PROPN
cana-2475	100	7	et	et	PROPN
cana-2475	100	8	al	al	PROPN
cana-2475	100	9	.	.	PROPN
cana-2475	100	10	(	(	PUNCT
cana-2475	100	11	2023	2023	NUM
cana-2475	100	12	):	):	PUNCT
cana-2475	100	13	a	a	DET
cana-2475	100	14	multi	multi	ADJ
cana-2475	100	15	-	-	ADJ
cana-2475	100	16	objective	objective	ADJ
cana-2475	100	17	cluster	cluster	NOUN
cana-2475	100	18	head	head	NOUN
cana-2475	100	19	-	-	PUNCT
cana-2475	100	20	based	base	VERB
cana-2475	100	21	routing	routing	NOUN
cana-2475	100	22	algorithm	algorithm	NOUN
cana-2475	100	23	for	for	ADP
cana-2475	100	24	wsns	wsns	NOUN
cana-2475	100	25	is	be	AUX
cana-2475	100	26	presented	present	VERB
cana-2475	100	27	in	in	ADP
cana-2475	100	28	this	this	DET
cana-2475	100	29	paper	paper	NOUN
cana-2475	100	30	.	.	PUNCT
cana-2475	101	1	by	by	ADP
cana-2475	101	2	minimising	minimise	VERB
cana-2475	101	3	redundant	redundant	ADJ
cana-2475	101	4	data	datum	NOUN
cana-2475	101	5	transmissions	transmission	NOUN
cana-2475	101	6	and	and	CCONJ
cana-2475	101	7	choosing	choose	VERB
cana-2475	101	8	effective	effective	ADJ
cana-2475	101	9	cluster	cluster	NOUN
cana-2475	101	10	heads	head	NOUN
cana-2475	101	11	,	,	PUNCT
cana-2475	101	12	the	the	DET
cana-2475	101	13	program	program	NOUN
cana-2475	101	14	maximises	maximise	VERB
cana-2475	101	15	energy	energy	NOUN
cana-2475	101	16	consumption	consumption	NOUN
cana-2475	101	17	.	.	PUNCT
cana-2475	102	1	the	the	DET
cana-2475	102	2	system	system	NOUN
cana-2475	102	3	forecasts	forecast	VERB
cana-2475	102	4	sensor	sensor	NOUN
cana-2475	102	5	data	datum	NOUN
cana-2475	102	6	properly	properly	ADV
cana-2475	102	7	by	by	ADP
cana-2475	102	8	incorporating	incorporate	VERB
cana-2475	102	9	neural	neural	ADJ
cana-2475	102	10	network	network	NOUN
cana-2475	102	11	-	-	PUNCT
cana-2475	102	12	based	base	VERB
cana-2475	102	13	prediction	prediction	NOUN
cana-2475	102	14	algorithms	algorithm	NOUN
cana-2475	102	15	,	,	PUNCT
cana-2475	102	16	which	which	PRON
cana-2475	102	17	further	far	ADV
cana-2475	102	18	reduces	reduce	VERB
cana-2475	102	19	energy	energy	NOUN
cana-2475	102	20	consumption	consumption	NOUN
cana-2475	102	21	and	and	CCONJ
cana-2475	102	22	enhances	enhance	VERB
cana-2475	102	23	network	network	NOUN
cana-2475	102	24	efficiency	efficiency	NOUN
cana-2475	102	25	.	.	PUNCT
cana-2475	103	1	this	this	DET
cana-2475	103	2	method	method	NOUN
cana-2475	103	3	works	work	VERB
cana-2475	103	4	well	well	ADV
cana-2475	103	5	in	in	ADP
cana-2475	103	6	applications	application	NOUN
cana-2475	103	7	like	like	ADP
cana-2475	103	8	industrial	industrial	ADJ
cana-2475	103	9	automation	automation	NOUN
cana-2475	103	10	and	and	CCONJ
cana-2475	103	11	environmental	environmental	ADJ
cana-2475	103	12	monitoring	monitoring	NOUN
cana-2475	103	13	where	where	SCONJ
cana-2475	103	14	energy	energy	NOUN
cana-2475	103	15	constraints	constraint	NOUN
cana-2475	103	16	and	and	CCONJ
cana-2475	103	17	large	large	ADJ
cana-2475	103	18	-	-	PUNCT
cana-2475	103	19	scale	scale	NOUN
cana-2475	103	20	data	data	NOUN
cana-2475	103	21	aggregation	aggregation	NOUN
cana-2475	103	22	are	be	AUX
cana-2475	103	23	significant	significant	ADJ
cana-2475	103	24	issues	issue	NOUN
cana-2475	103	25	.	.	PUNCT
cana-2475	104	1	[	[	X
cana-2475	104	2	15	15	NUM
cana-2475	104	3	]	]	X
cana-2475	104	4	hasheminejad	hasheminejad	PROPN
cana-2475	104	5	,	,	PUNCT
cana-2475	104	6	e.	e.	PROPN
cana-2475	104	7	et	et	PROPN
cana-2475	104	8	al	al	PROPN
cana-2475	104	9	.	.	PROPN
cana-2475	105	1	(	(	PUNCT
cana-2475	105	2	2023	2023	NUM
cana-2475	105	3	):	):	PUNCT
cana-2475	105	4	for	for	ADP
cana-2475	105	5	wsns	wsns	NOUN
cana-2475	105	6	,	,	PUNCT
cana-2475	105	7	the	the	DET
cana-2475	105	8	authors	author	NOUN
cana-2475	105	9	suggest	suggest	VERB
cana-2475	105	10	a	a	DET
cana-2475	105	11	tree	tree	NOUN
cana-2475	105	12	-	-	PUNCT
cana-2475	105	13	based	base	VERB
cana-2475	105	14	data	data	NOUN
cana-2475	105	15	aggregation	aggregation	NOUN
cana-2475	105	16	technique	technique	NOUN
cana-2475	105	17	that	that	PRON
cana-2475	105	18	lowers	lower	VERB
cana-2475	105	19	redundant	redundant	ADJ
cana-2475	105	20	transmissions	transmission	NOUN
cana-2475	105	21	and	and	CCONJ
cana-2475	105	22	boosts	boost	VERB
cana-2475	105	23	energy	energy	NOUN
cana-2475	105	24	economy	economy	NOUN
cana-2475	105	25	.	.	PUNCT
cana-2475	106	1	the	the	DET
cana-2475	106	2	system	system	NOUN
cana-2475	106	3	effectively	effectively	ADV
cana-2475	106	4	predicts	predict	VERB
cana-2475	106	5	sensor	sensor	NOUN
cana-2475	106	6	data	datum	NOUN
cana-2475	106	7	trends	trend	NOUN
cana-2475	106	8	by	by	ADP
cana-2475	106	9	integrating	integrate	VERB
cana-2475	106	10	neural	neural	ADJ
cana-2475	106	11	network	network	NOUN
cana-2475	106	12	-	-	PUNCT
cana-2475	106	13	based	base	VERB
cana-2475	106	14	prediction	prediction	NOUN
cana-2475	106	15	models	model	NOUN
cana-2475	106	16	,	,	PUNCT
cana-2475	106	17	which	which	PRON
cana-2475	106	18	reduces	reduce	VERB
cana-2475	106	19	energy	energy	NOUN
cana-2475	106	20	consumption	consumption	NOUN
cana-2475	106	21	and	and	CCONJ
cana-2475	106	22	improves	improve	VERB
cana-2475	106	23	network	network	NOUN
cana-2475	106	24	performance	performance	NOUN
cana-2475	106	25	overall	overall	ADV
cana-2475	106	26	.	.	PUNCT
cana-2475	107	1	this	this	DET
cana-2475	107	2	method	method	NOUN
cana-2475	107	3	is	be	AUX
cana-2475	107	4	very	very	ADV
cana-2475	107	5	helpful	helpful	ADJ
cana-2475	107	6	in	in	ADP
cana-2475	107	7	applications	application	NOUN
cana-2475	107	8	like	like	ADP
cana-2475	107	9	environmental	environmental	ADJ
cana-2475	107	10	monitoring	monitoring	NOUN
cana-2475	107	11	systems	system	NOUN
cana-2475	107	12	and	and	CCONJ
cana-2475	107	13	smart	smart	ADJ
cana-2475	107	14	city	city	NOUN
cana-2475	107	15	infrastructures	infrastructure	NOUN
cana-2475	107	16	where	where	SCONJ
cana-2475	107	17	data	datum	NOUN
cana-2475	107	18	quality	quality	NOUN
cana-2475	107	19	and	and	CCONJ
cana-2475	107	20	energy	energy	NOUN
cana-2475	107	21	efficiency	efficiency	NOUN
cana-2475	107	22	are	be	AUX
cana-2475	107	23	vital	vital	ADJ
cana-2475	107	24	.	.	PUNCT
cana-2475	108	1	[	[	X
cana-2475	108	2	16	16	NUM
cana-2475	108	3	]	]	X
cana-2475	108	4	khan	khan	PROPN
cana-2475	108	5	,	,	PUNCT
cana-2475	108	6	t.	t.	PROPN
cana-2475	108	7	,	,	PUNCT
cana-2475	108	8	et	et	PROPN
cana-2475	108	9	al	al	PROPN
cana-2475	108	10	.	.	PROPN
cana-2475	108	11	(	(	PUNCT
cana-2475	108	12	2023	2023	NUM
cana-2475	108	13	):	):	PUNCT
cana-2475	108	14	a	a	DET
cana-2475	108	15	trust	trust	NOUN
cana-2475	108	16	-	-	PUNCT
cana-2475	108	17	based	base	VERB
cana-2475	108	18	,	,	PUNCT
cana-2475	108	19	effective	effective	ADJ
cana-2475	108	20	routing	routing	NOUN
cana-2475	108	21	system	system	NOUN
cana-2475	108	22	for	for	ADP
cana-2475	108	23	hostile	hostile	ADJ
cana-2475	108	24	wsns	wsns	NOUN
cana-2475	108	25	is	be	AUX
cana-2475	108	26	covered	cover	VERB
cana-2475	108	27	in	in	ADP
cana-2475	108	28	this	this	DET
cana-2475	108	29	paper	paper	NOUN
cana-2475	108	30	.	.	PUNCT
cana-2475	109	1	through	through	ADP
cana-2475	109	2	data	data	NOUN
cana-2475	109	3	aggregation	aggregation	NOUN
cana-2475	109	4	security	security	NOUN
cana-2475	109	5	and	and	CCONJ
cana-2475	109	6	routing	routing	NOUN
cana-2475	109	7	path	path	NOUN
cana-2475	109	8	optimisation	optimisation	NOUN
cana-2475	109	9	,	,	PUNCT
cana-2475	109	10	the	the	DET
cana-2475	109	11	approach	approach	NOUN
cana-2475	109	12	improves	improve	VERB
cana-2475	109	13	energy	energy	NOUN
cana-2475	109	14	efficiency	efficiency	NOUN
cana-2475	109	15	.	.	PUNCT
cana-2475	110	1	the	the	DET
cana-2475	110	2	system	system	NOUN
cana-2475	110	3	efficiently	efficiently	ADV
cana-2475	110	4	predicts	predict	VERB
cana-2475	110	5	sensor	sensor	NOUN
cana-2475	110	6	data	datum	NOUN
cana-2475	110	7	by	by	ADP
cana-2475	110	8	incorporating	incorporate	VERB
cana-2475	110	9	neural	neural	ADJ
cana-2475	110	10	network	network	NOUN
cana-2475	110	11	-	-	PUNCT
cana-2475	110	12	based	base	VERB
cana-2475	110	13	prediction	prediction	NOUN
cana-2475	110	14	models	model	NOUN
cana-2475	110	15	,	,	PUNCT
cana-2475	110	16	which	which	PRON
cana-2475	110	17	minimises	minimise	NOUN
cana-2475	110	18	redundant	redundant	VERB
cana-2475	110	19	transmissions	transmission	NOUN
cana-2475	110	20	and	and	CCONJ
cana-2475	110	21	saves	save	VERB
cana-2475	110	22	energy	energy	NOUN
cana-2475	110	23	.	.	PUNCT
cana-2475	111	1	this	this	DET
cana-2475	111	2	method	method	NOUN
cana-2475	111	3	works	work	VERB
cana-2475	111	4	especially	especially	ADV
cana-2475	111	5	well	well	ADV
cana-2475	111	6	in	in	ADP
cana-2475	111	7	situations	situation	NOUN
cana-2475	111	8	like	like	ADP
cana-2475	111	9	military	military	ADJ
cana-2475	111	10	networks	network	NOUN
cana-2475	111	11	and	and	CCONJ
cana-2475	111	12	health	health	NOUN
cana-2475	111	13	monitoring	monitoring	NOUN
cana-2475	111	14	systems	system	NOUN
cana-2475	111	15	where	where	SCONJ
cana-2475	111	16	energy	energy	NOUN
cana-2475	111	17	efficiency	efficiency	NOUN
cana-2475	111	18	and	and	CCONJ
cana-2475	111	19	secure	secure	ADJ
cana-2475	111	20	data	datum	NOUN
cana-2475	111	21	management	management	NOUN
cana-2475	111	22	are	be	AUX
cana-2475	111	23	critical	critical	ADJ
cana-2475	111	24	.	.	PUNCT
cana-2475	112	1	[	[	X
cana-2475	112	2	17	17	NUM
cana-2475	112	3	]	]	PUNCT
cana-2475	112	4	naghibi	naghibi	NOUN
cana-2475	112	5	,	,	PUNCT
cana-2475	112	6	m.	m.	NOUN
cana-2475	112	7	et	et	PROPN
cana-2475	112	8	al	al	PROPN
cana-2475	112	9	.	.	PROPN
cana-2475	113	1	(	(	PUNCT
cana-2475	113	2	2023	2023	NUM
cana-2475	113	3	):	):	PUNCT
cana-2475	113	4	a	a	DET
cana-2475	113	5	safe	safe	ADJ
cana-2475	113	6	hybrid	hybrid	ADJ
cana-2475	113	7	structure	structure	NOUN
cana-2475	113	8	is	be	AUX
cana-2475	113	9	suggested	suggest	VERB
cana-2475	113	10	by	by	ADP
cana-2475	113	11	the	the	DET
cana-2475	113	12	researchers	researcher	NOUN
cana-2475	113	13	for	for	ADP
cana-2475	113	14	data	data	NOUN
cana-2475	113	15	aggregation	aggregation	NOUN
cana-2475	113	16	in	in	ADP
cana-2475	113	17	wsns	wsns	PROPN
cana-2475	113	18	.	.	PUNCT
cana-2475	114	1	the	the	DET
cana-2475	114	2	technique	technique	NOUN
cana-2475	114	3	lowers	lower	VERB
cana-2475	114	4	redundant	redundant	ADJ
cana-2475	114	5	transmissions	transmission	NOUN
cana-2475	114	6	and	and	CCONJ
cana-2475	114	7	boosts	boost	VERB
cana-2475	114	8	network	network	NOUN
cana-2475	114	9	resilience	resilience	NOUN
cana-2475	114	10	by	by	ADP
cana-2475	114	11	fusing	fuse	VERB
cana-2475	114	12	energyefficient	energyefficient	NOUN
cana-2475	114	13	data	data	NOUN
cana-2475	114	14	aggregation	aggregation	NOUN
cana-2475	114	15	with	with	ADP
cana-2475	114	16	secure	secure	ADJ
cana-2475	114	17	routing	routing	NOUN
cana-2475	114	18	.	.	PUNCT
cana-2475	115	1	prediction	prediction	NOUN
cana-2475	115	2	models	model	NOUN
cana-2475	115	3	based	base	VERB
cana-2475	115	4	on	on	ADP
cana-2475	115	5	neural	neural	ADJ
cana-2475	115	6	networks	network	NOUN
cana-2475	115	7	improve	improve	VERB
cana-2475	115	8	system	system	NOUN
cana-2475	115	9	performance	performance	NOUN
cana-2475	115	10	by	by	ADP
cana-2475	115	11	predicting	predict	VERB
cana-2475	115	12	trends	trend	NOUN
cana-2475	115	13	in	in	ADP
cana-2475	115	14	sensor	sensor	NOUN
cana-2475	115	15	data	datum	NOUN
cana-2475	115	16	and	and	CCONJ
cana-2475	115	17	reducing	reduce	VERB
cana-2475	115	18	energy	energy	NOUN
cana-2475	115	19	usage	usage	NOUN
cana-2475	115	20	.	.	PUNCT
cana-2475	116	1	this	this	DET
cana-2475	116	2	strategy	strategy	NOUN
cana-2475	116	3	is	be	AUX
cana-2475	116	4	especially	especially	ADV
cana-2475	116	5	helpful	helpful	ADJ
cana-2475	116	6	in	in	ADP
cana-2475	116	7	vital	vital	ADJ
cana-2475	116	8	applications	application	NOUN
cana-2475	116	9	like	like	ADP
cana-2475	116	10	environmental	environmental	ADJ
cana-2475	116	11	monitoring	monitoring	NOUN
cana-2475	116	12	systems	system	NOUN
cana-2475	116	13	and	and	CCONJ
cana-2475	116	14	healthcare	healthcare	NOUN
cana-2475	116	15	where	where	SCONJ
cana-2475	116	16	data	datum	NOUN
cana-2475	116	17	confidentiality	confidentiality	NOUN
cana-2475	116	18	and	and	CCONJ
cana-2475	116	19	energy	energy	NOUN
cana-2475	116	20	efficiency	efficiency	NOUN
cana-2475	116	21	are	be	AUX
cana-2475	116	22	crucial	crucial	ADJ
cana-2475	116	23	.	.	PUNCT
cana-2475	117	1	communications	communication	NOUN
cana-2475	117	2	on	on	ADP
cana-2475	117	3	applied	apply	VERB
cana-2475	117	4	nonlinear	nonlinear	ADJ
cana-2475	117	5	analysis	analysis	NOUN
cana-2475	117	6	issn	issn	NOUN
cana-2475	117	7	:	:	PUNCT
cana-2475	117	8	1074	1074	NUM
cana-2475	117	9	-	-	PUNCT
cana-2475	117	10	133x	133x	NUM
cana-2475	117	11	vol	vol	NOUN
cana-2475	117	12	32	32	NUM
cana-2475	117	13	no	no	NOUN
cana-2475	117	14	.	.	PUNCT
cana-2475	118	1	2s	2s	NUM
cana-2475	118	2	(	(	PUNCT
cana-2475	118	3	2025	2025	NUM
cana-2475	118	4	)	)	PUNCT
cana-2475	118	5	471	471	NUM
cana-2475	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	119	1	[	[	X
cana-2475	119	2	18	18	NUM
cana-2475	119	3	]	]	X
cana-2475	119	4	gomathi	gomathi	PROPN
cana-2475	119	5	,	,	PUNCT
cana-2475	119	6	s.	s.	PROPN
cana-2475	119	7	et	et	PROPN
cana-2475	119	8	al	al	PROPN
cana-2475	119	9	.	.	PROPN
cana-2475	120	1	(	(	PUNCT
cana-2475	120	2	2023	2023	NUM
cana-2475	120	3	):	):	PUNCT
cana-2475	120	4	the	the	DET
cana-2475	120	5	writers	writer	NOUN
cana-2475	120	6	concentrate	concentrate	VERB
cana-2475	120	7	on	on	ADP
cana-2475	120	8	safe	safe	ADJ
cana-2475	120	9	data	datum	NOUN
cana-2475	120	10	aggregation	aggregation	NOUN
cana-2475	120	11	and	and	CCONJ
cana-2475	120	12	malicious	malicious	ADJ
cana-2475	120	13	node	node	ADJ
cana-2475	120	14	detection	detection	NOUN
cana-2475	120	15	in	in	ADP
cana-2475	120	16	wsns	wsns	PROPN
cana-2475	120	17	.	.	PUNCT
cana-2475	121	1	through	through	ADP
cana-2475	121	2	the	the	DET
cana-2475	121	3	identification	identification	NOUN
cana-2475	121	4	and	and	CCONJ
cana-2475	121	5	mitigation	mitigation	NOUN
cana-2475	121	6	of	of	ADP
cana-2475	121	7	rogue	rogue	NOUN
cana-2475	121	8	nodes	node	NOUN
cana-2475	121	9	,	,	PUNCT
cana-2475	121	10	their	their	PRON
cana-2475	121	11	approach	approach	NOUN
cana-2475	121	12	ensures	ensure	VERB
cana-2475	121	13	secure	secure	ADJ
cana-2475	121	14	data	datum	NOUN
cana-2475	121	15	flows	flow	NOUN
cana-2475	121	16	and	and	CCONJ
cana-2475	121	17	lowers	lower	VERB
cana-2475	121	18	energy	energy	NOUN
cana-2475	121	19	consumption	consumption	NOUN
cana-2475	121	20	.	.	PUNCT
cana-2475	122	1	prediction	prediction	NOUN
cana-2475	122	2	models	model	NOUN
cana-2475	122	3	based	base	VERB
cana-2475	122	4	on	on	ADP
cana-2475	122	5	neural	neural	ADJ
cana-2475	122	6	networks	network	NOUN
cana-2475	122	7	can	can	AUX
cana-2475	122	8	reduce	reduce	VERB
cana-2475	122	9	redundant	redundant	ADJ
cana-2475	122	10	transmissions	transmission	NOUN
cana-2475	122	11	,	,	PUNCT
cana-2475	122	12	save	save	VERB
cana-2475	122	13	energy	energy	NOUN
cana-2475	122	14	,	,	PUNCT
cana-2475	122	15	and	and	CCONJ
cana-2475	122	16	accurately	accurately	ADV
cana-2475	122	17	foresee	foresee	VERB
cana-2475	122	18	patterns	pattern	NOUN
cana-2475	122	19	in	in	ADP
cana-2475	122	20	sensor	sensor	NOUN
cana-2475	122	21	data	datum	NOUN
cana-2475	122	22	to	to	ADP
cana-2475	122	23	further	far	ADV
cana-2475	122	24	optimise	optimise	ADJ
cana-2475	122	25	data	datum	NOUN
cana-2475	122	26	aggregation	aggregation	NOUN
cana-2475	122	27	.	.	PUNCT
cana-2475	123	1	this	this	DET
cana-2475	123	2	method	method	NOUN
cana-2475	123	3	works	work	VERB
cana-2475	123	4	especially	especially	ADV
cana-2475	123	5	well	well	ADV
cana-2475	123	6	in	in	ADP
cana-2475	123	7	applications	application	NOUN
cana-2475	123	8	like	like	ADP
cana-2475	123	9	military	military	NOUN
cana-2475	123	10	and	and	CCONJ
cana-2475	123	11	health	health	NOUN
cana-2475	123	12	monitoring	monitoring	NOUN
cana-2475	123	13	networks	network	NOUN
cana-2475	123	14	where	where	SCONJ
cana-2475	123	15	energy	energy	NOUN
cana-2475	123	16	efficiency	efficiency	NOUN
cana-2475	123	17	and	and	CCONJ
cana-2475	123	18	secure	secure	ADJ
cana-2475	123	19	data	datum	NOUN
cana-2475	123	20	management	management	NOUN
cana-2475	123	21	are	be	AUX
cana-2475	123	22	vital	vital	ADJ
cana-2475	123	23	.	.	PUNCT
cana-2475	124	1	[	[	X
cana-2475	124	2	19	19	NUM
cana-2475	124	3	]	]	PUNCT
cana-2475	124	4	laxma	laxma	NOUN
cana-2475	124	5	reddy	reddy	PROPN
cana-2475	124	6	,	,	PUNCT
cana-2475	124	7	d.	d.	PROPN
cana-2475	124	8	,	,	PUNCT
cana-2475	124	9	&	&	CCONJ
cana-2475	124	10	puttamadappa	puttamadappa	PROPN
cana-2475	124	11	,	,	PUNCT
cana-2475	124	12	c.	c.	PROPN
cana-2475	124	13	(	(	PUNCT
cana-2475	124	14	2023	2023	NUM
cana-2475	124	15	):	):	PUNCT
cana-2475	124	16	in	in	ADP
cana-2475	124	17	order	order	NOUN
cana-2475	124	18	to	to	PART
cana-2475	124	19	improve	improve	VERB
cana-2475	124	20	energy	energy	NOUN
cana-2475	124	21	efficiency	efficiency	NOUN
cana-2475	124	22	in	in	ADP
cana-2475	124	23	wsns	wsns	NOUN
cana-2475	124	24	,	,	PUNCT
cana-2475	124	25	this	this	DET
cana-2475	124	26	work	work	NOUN
cana-2475	124	27	combines	combine	VERB
cana-2475	124	28	ant	ant	ADJ
cana-2475	124	29	colony	colony	NOUN
cana-2475	124	30	optimisation	optimisation	NOUN
cana-2475	124	31	and	and	CCONJ
cana-2475	124	32	glowworm	glowworm	PROPN
cana-2475	124	33	swarm	swarm	NOUN
cana-2475	124	34	optimisation	optimisation	NOUN
cana-2475	124	35	.	.	PUNCT
cana-2475	125	1	the	the	DET
cana-2475	125	2	model	model	NOUN
cana-2475	125	3	prolongs	prolong	VERB
cana-2475	125	4	the	the	DET
cana-2475	125	5	life	life	NOUN
cana-2475	125	6	of	of	ADP
cana-2475	125	7	the	the	DET
cana-2475	125	8	network	network	NOUN
cana-2475	125	9	and	and	CCONJ
cana-2475	125	10	lowers	lower	VERB
cana-2475	125	11	energy	energy	NOUN
cana-2475	125	12	usage	usage	NOUN
cana-2475	125	13	by	by	ADP
cana-2475	125	14	optimising	optimise	VERB
cana-2475	125	15	routing	routing	NOUN
cana-2475	125	16	patterns	pattern	NOUN
cana-2475	125	17	and	and	CCONJ
cana-2475	125	18	clustering	clustering	NOUN
cana-2475	125	19	.	.	PUNCT
cana-2475	126	1	prediction	prediction	NOUN
cana-2475	126	2	models	model	NOUN
cana-2475	126	3	based	base	VERB
cana-2475	126	4	on	on	ADP
cana-2475	126	5	neural	neural	ADJ
cana-2475	126	6	networks	network	NOUN
cana-2475	126	7	can	can	AUX
cana-2475	126	8	forecast	forecast	VERB
cana-2475	126	9	patterns	pattern	NOUN
cana-2475	126	10	in	in	ADP
cana-2475	126	11	sensor	sensor	NOUN
cana-2475	126	12	data	datum	NOUN
cana-2475	126	13	,	,	PUNCT
cana-2475	126	14	reduce	reduce	VERB
cana-2475	126	15	redundant	redundant	ADJ
cana-2475	126	16	transmissions	transmission	NOUN
cana-2475	126	17	,	,	PUNCT
cana-2475	126	18	and	and	CCONJ
cana-2475	126	19	save	save	VERB
cana-2475	126	20	energy	energy	NOUN
cana-2475	126	21	to	to	PART
cana-2475	126	22	further	far	ADV
cana-2475	126	23	enhance	enhance	VERB
cana-2475	126	24	the	the	DET
cana-2475	126	25	system	system	NOUN
cana-2475	126	26	's	's	PART
cana-2475	126	27	performance	performance	NOUN
cana-2475	126	28	.	.	PUNCT
cana-2475	127	1	this	this	DET
cana-2475	127	2	strategy	strategy	NOUN
cana-2475	127	3	is	be	AUX
cana-2475	127	4	especially	especially	ADV
cana-2475	127	5	helpful	helpful	ADJ
cana-2475	127	6	in	in	ADP
cana-2475	127	7	situations	situation	NOUN
cana-2475	127	8	where	where	SCONJ
cana-2475	127	9	unpredictable	unpredictable	ADJ
cana-2475	127	10	environments	environment	NOUN
cana-2475	127	11	and	and	CCONJ
cana-2475	127	12	energy	energy	NOUN
cana-2475	127	13	limitations	limitation	NOUN
cana-2475	127	14	make	make	VERB
cana-2475	127	15	it	it	PRON
cana-2475	127	16	difficult	difficult	ADJ
cana-2475	127	17	for	for	SCONJ
cana-2475	127	18	networks	network	NOUN
cana-2475	127	19	to	to	PART
cana-2475	127	20	operate	operate	VERB
cana-2475	127	21	continuously	continuously	ADV
cana-2475	127	22	.	.	PUNCT
cana-2475	128	1	[	[	X
cana-2475	128	2	20	20	NUM
cana-2475	128	3	]	]	PUNCT
cana-2475	128	4	s.	s.	PROPN
cana-2475	128	5	h.	h.	PROPN
cana-2475	128	6	gopalan	gopalan	PROPN
cana-2475	128	7	,	,	PUNCT
cana-2475	128	8	et	et	PROPN
cana-2475	128	9	al	al	PROPN
cana-2475	128	10	.	.	PROPN
cana-2475	128	11	(	(	PUNCT
cana-2475	128	12	2023	2023	NUM
cana-2475	128	13	):	):	PUNCT
cana-2475	128	14	with	with	ADP
cana-2475	128	15	an	an	DET
cana-2475	128	16	emphasis	emphasis	NOUN
cana-2475	128	17	on	on	ADP
cana-2475	128	18	energy	energy	NOUN
cana-2475	128	19	-	-	PUNCT
cana-2475	128	20	efficient	efficient	ADJ
cana-2475	128	21	data	datum	NOUN
cana-2475	128	22	aggregation	aggregation	NOUN
cana-2475	128	23	,	,	PUNCT
cana-2475	128	24	the	the	DET
cana-2475	128	25	paper	paper	NOUN
cana-2475	128	26	suggests	suggest	VERB
cana-2475	128	27	a	a	DET
cana-2475	128	28	hybrid	hybrid	ADJ
cana-2475	128	29	advisory	advisory	NOUN
cana-2475	128	30	weightbased	weightbase	VERB
cana-2475	128	31	dynamic	dynamic	ADJ
cana-2475	128	32	scheduling	scheduling	NOUN
cana-2475	128	33	architecture	architecture	NOUN
cana-2475	128	34	for	for	ADP
cana-2475	128	35	ad	ad	X
cana-2475	128	36	hoc	hoc	X
cana-2475	128	37	networks	network	NOUN
cana-2475	128	38	.	.	PUNCT
cana-2475	129	1	the	the	DET
cana-2475	129	2	model	model	NOUN
cana-2475	129	3	forecasts	forecast	VERB
cana-2475	129	4	patterns	pattern	NOUN
cana-2475	129	5	in	in	ADP
cana-2475	129	6	sensor	sensor	NOUN
cana-2475	129	7	data	datum	NOUN
cana-2475	129	8	using	use	VERB
cana-2475	129	9	neural	neural	ADJ
cana-2475	129	10	network	network	NOUN
cana-2475	129	11	-	-	PUNCT
cana-2475	129	12	based	base	VERB
cana-2475	129	13	prediction	prediction	NOUN
cana-2475	129	14	models	model	NOUN
cana-2475	129	15	,	,	PUNCT
cana-2475	129	16	which	which	PRON
cana-2475	129	17	minimises	minimise	VERB
cana-2475	129	18	energy	energy	NOUN
cana-2475	129	19	consumption	consumption	NOUN
cana-2475	129	20	and	and	CCONJ
cana-2475	129	21	lessens	lessen	VERB
cana-2475	129	22	the	the	DET
cana-2475	129	23	frequency	frequency	NOUN
cana-2475	129	24	of	of	ADP
cana-2475	129	25	data	datum	NOUN
cana-2475	129	26	transmissions	transmission	NOUN
cana-2475	129	27	.	.	PUNCT
cana-2475	130	1	the	the	DET
cana-2475	130	2	network	network	NOUN
cana-2475	130	3	's	's	PART
cana-2475	130	4	overall	overall	ADJ
cana-2475	130	5	performance	performance	NOUN
cana-2475	130	6	is	be	AUX
cana-2475	130	7	enhanced	enhance	VERB
cana-2475	130	8	by	by	ADP
cana-2475	130	9	this	this	DET
cana-2475	130	10	dynamic	dynamic	ADJ
cana-2475	130	11	scheduling	scheduling	NOUN
cana-2475	130	12	,	,	PUNCT
cana-2475	130	13	which	which	PRON
cana-2475	130	14	guarantees	guarantee	VERB
cana-2475	130	15	timely	timely	ADJ
cana-2475	130	16	and	and	CCONJ
cana-2475	130	17	energy	energy	NOUN
cana-2475	130	18	-	-	PUNCT
cana-2475	130	19	efficient	efficient	ADJ
cana-2475	130	20	data	datum	NOUN
cana-2475	130	21	aggregation	aggregation	NOUN
cana-2475	130	22	.	.	PUNCT
cana-2475	131	1	the	the	DET
cana-2475	131	2	methodology	methodology	NOUN
cana-2475	131	3	is	be	AUX
cana-2475	131	4	especially	especially	ADV
cana-2475	131	5	useful	useful	ADJ
cana-2475	131	6	in	in	ADP
cana-2475	131	7	situations	situation	NOUN
cana-2475	131	8	like	like	ADP
cana-2475	131	9	environmental	environmental	ADJ
cana-2475	131	10	monitoring	monitoring	NOUN
cana-2475	131	11	and	and	CCONJ
cana-2475	131	12	smart	smart	ADJ
cana-2475	131	13	city	city	NOUN
cana-2475	131	14	infrastructure	infrastructure	NOUN
cana-2475	131	15	,	,	PUNCT
cana-2475	131	16	where	where	SCONJ
cana-2475	131	17	energy	energy	NOUN
cana-2475	131	18	conservation	conservation	NOUN
cana-2475	131	19	and	and	CCONJ
cana-2475	131	20	real	real	ADJ
cana-2475	131	21	-	-	PUNCT
cana-2475	131	22	time	time	NOUN
cana-2475	131	23	data	datum	NOUN
cana-2475	131	24	processing	processing	NOUN
cana-2475	131	25	are	be	AUX
cana-2475	131	26	vital	vital	ADJ
cana-2475	131	27	.	.	PUNCT
cana-2475	132	1	by	by	ADP
cana-2475	132	2	incorporating	incorporate	VERB
cana-2475	132	3	neural	neural	ADJ
cana-2475	132	4	network	network	NOUN
cana-2475	132	5	-	-	PUNCT
cana-2475	132	6	based	base	VERB
cana-2475	132	7	prediction	prediction	NOUN
cana-2475	132	8	models	model	NOUN
cana-2475	132	9	,	,	PUNCT
cana-2475	132	10	the	the	DET
cana-2475	132	11	literature	literature	NOUN
cana-2475	132	12	review	review	NOUN
cana-2475	132	13	shows	show	VERB
cana-2475	132	14	how	how	SCONJ
cana-2475	132	15	widely	widely	ADV
cana-2475	132	16	energy	energy	NOUN
cana-2475	132	17	-	-	PUNCT
cana-2475	132	18	efficient	efficient	ADJ
cana-2475	132	19	data	data	NOUN
cana-2475	132	20	aggregation	aggregation	NOUN
cana-2475	132	21	solutions	solution	NOUN
cana-2475	132	22	have	have	AUX
cana-2475	132	23	been	be	AUX
cana-2475	132	24	explored	explore	VERB
cana-2475	132	25	in	in	ADP
cana-2475	132	26	wireless	wireless	ADJ
cana-2475	132	27	sensor	sensor	NOUN
cana-2475	132	28	networks	network	NOUN
cana-2475	132	29	(	(	PUNCT
cana-2475	132	30	wsns	wsns	PROPN
cana-2475	132	31	)	)	PUNCT
cana-2475	132	32	.	.	PUNCT
cana-2475	133	1	numerous	numerous	ADJ
cana-2475	133	2	research	research	NOUN
cana-2475	133	3	endeavours	endeavour	VERB
cana-2475	133	4	centre	centre	NOUN
cana-2475	133	5	on	on	ADP
cana-2475	133	6	refining	refining	NOUN
cana-2475	133	7	routing	routing	NOUN
cana-2475	133	8	and	and	CCONJ
cana-2475	133	9	clustering	clustering	ADJ
cana-2475	133	10	algorithms	algorithm	NOUN
cana-2475	133	11	in	in	ADP
cana-2475	133	12	order	order	NOUN
cana-2475	133	13	to	to	PART
cana-2475	133	14	minimise	minimise	VERB
cana-2475	133	15	superfluous	superfluous	ADJ
cana-2475	133	16	transmissions	transmission	NOUN
cana-2475	133	17	,	,	PUNCT
cana-2475	133	18	improve	improve	VERB
cana-2475	133	19	forecast	forecast	NOUN
cana-2475	133	20	precision	precision	NOUN
cana-2475	133	21	,	,	PUNCT
cana-2475	133	22	and	and	CCONJ
cana-2475	133	23	preserve	preserve	VERB
cana-2475	133	24	energy	energy	NOUN
cana-2475	133	25	—	—	PUNCT
cana-2475	133	26	all	all	PRON
cana-2475	133	27	of	of	ADP
cana-2475	133	28	which	which	PRON
cana-2475	133	29	contribute	contribute	VERB
cana-2475	133	30	to	to	ADP
cana-2475	133	31	extending	extend	VERB
cana-2475	133	32	the	the	DET
cana-2475	133	33	lifespan	lifespan	NOUN
cana-2475	133	34	of	of	ADP
cana-2475	133	35	networks	network	NOUN
cana-2475	133	36	.	.	PUNCT
cana-2475	134	1	numerous	numerous	ADJ
cana-2475	134	2	studies	study	NOUN
cana-2475	134	3	investigate	investigate	VERB
cana-2475	134	4	hybrid	hybrid	ADJ
cana-2475	134	5	approaches	approach	NOUN
cana-2475	134	6	that	that	PRON
cana-2475	134	7	combine	combine	VERB
cana-2475	134	8	neural	neural	ADJ
cana-2475	134	9	networks	network	NOUN
cana-2475	134	10	and	and	CCONJ
cana-2475	134	11	optimisation	optimisation	NOUN
cana-2475	134	12	algorithms	algorithm	NOUN
cana-2475	134	13	such	such	ADJ
cana-2475	134	14	as	as	ADP
cana-2475	134	15	glowworm	glowworm	PROPN
cana-2475	134	16	swarm	swarm	NOUN
cana-2475	134	17	optimisation	optimisation	NOUN
cana-2475	134	18	(	(	PUNCT
cana-2475	134	19	gso	gso	PROPN
cana-2475	134	20	)	)	PUNCT
cana-2475	134	21	,	,	PUNCT
cana-2475	134	22	particle	particle	NOUN
cana-2475	134	23	swarm	swarm	NOUN
cana-2475	134	24	optimisation	optimisation	NOUN
cana-2475	134	25	(	(	PUNCT
cana-2475	134	26	pso	pso	NOUN
cana-2475	134	27	)	)	PUNCT
cana-2475	134	28	,	,	PUNCT
cana-2475	134	29	ant	ant	ADJ
cana-2475	134	30	colony	colony	NOUN
cana-2475	134	31	optimisation	optimisation	NOUN
cana-2475	134	32	(	(	PUNCT
cana-2475	134	33	aco	aco	PROPN
cana-2475	134	34	)	)	PUNCT
cana-2475	134	35	,	,	PUNCT
cana-2475	134	36	whale	whale	NOUN
cana-2475	134	37	optimisation	optimisation	NOUN
cana-2475	134	38	,	,	PUNCT
cana-2475	134	39	and	and	CCONJ
cana-2475	134	40	so	so	ADV
cana-2475	134	41	on	on	ADV
cana-2475	134	42	.	.	PUNCT
cana-2475	135	1	these	these	DET
cana-2475	135	2	methods	method	NOUN
cana-2475	135	3	show	show	VERB
cana-2475	135	4	promise	promise	NOUN
cana-2475	135	5	in	in	ADP
cana-2475	135	6	a	a	DET
cana-2475	135	7	variety	variety	NOUN
cana-2475	135	8	of	of	ADP
cana-2475	135	9	applications	application	NOUN
cana-2475	135	10	where	where	SCONJ
cana-2475	135	11	energy	energy	NOUN
cana-2475	135	12	efficiency	efficiency	NOUN
cana-2475	135	13	and	and	CCONJ
cana-2475	135	14	real	real	ADJ
cana-2475	135	15	-	-	PUNCT
cana-2475	135	16	time	time	NOUN
cana-2475	135	17	data	datum	NOUN
cana-2475	135	18	processing	processing	NOUN
cana-2475	135	19	are	be	AUX
cana-2475	135	20	essential	essential	ADJ
cana-2475	135	21	,	,	PUNCT
cana-2475	135	22	such	such	ADJ
cana-2475	135	23	as	as	ADP
cana-2475	135	24	military	military	ADJ
cana-2475	135	25	networks	network	NOUN
cana-2475	135	26	,	,	PUNCT
cana-2475	135	27	smart	smart	ADJ
cana-2475	135	28	cities	city	NOUN
cana-2475	135	29	,	,	PUNCT
cana-2475	135	30	healthcare	healthcare	PROPN
cana-2475	135	31	,	,	PUNCT
cana-2475	135	32	and	and	CCONJ
cana-2475	135	33	environmental	environmental	ADJ
cana-2475	135	34	monitoring	monitoring	NOUN
cana-2475	135	35	.	.	PUNCT
cana-2475	136	1	other	other	ADJ
cana-2475	136	2	important	important	ADJ
cana-2475	136	3	themes	theme	NOUN
cana-2475	136	4	that	that	PRON
cana-2475	136	5	address	address	VERB
cana-2475	136	6	energy	energy	NOUN
cana-2475	136	7	efficiency	efficiency	NOUN
cana-2475	136	8	and	and	CCONJ
cana-2475	136	9	security	security	NOUN
cana-2475	136	10	concerns	concern	NOUN
cana-2475	136	11	in	in	ADP
cana-2475	136	12	hostile	hostile	ADJ
cana-2475	136	13	contexts	context	NOUN
cana-2475	136	14	are	be	AUX
cana-2475	136	15	trust	trust	NOUN
cana-2475	136	16	-	-	PUNCT
cana-2475	136	17	based	base	VERB
cana-2475	136	18	routing	routing	NOUN
cana-2475	136	19	and	and	CCONJ
cana-2475	136	20	secure	secure	ADJ
cana-2475	136	21	data	datum	NOUN
cana-2475	136	22	aggregation	aggregation	NOUN
cana-2475	136	23	.	.	PUNCT
cana-2475	137	1	a	a	DET
cana-2475	137	2	growing	grow	VERB
cana-2475	137	3	body	body	NOUN
cana-2475	137	4	of	of	ADP
cana-2475	137	5	research	research	NOUN
cana-2475	137	6	has	have	AUX
cana-2475	137	7	been	be	AUX
cana-2475	137	8	done	do	VERB
cana-2475	137	9	on	on	ADP
cana-2475	137	10	the	the	DET
cana-2475	137	11	use	use	NOUN
cana-2475	137	12	of	of	ADP
cana-2475	137	13	machine	machine	NOUN
cana-2475	137	14	learning	learn	VERB
cana-2475	137	15	techniques	technique	NOUN
cana-2475	137	16	to	to	PART
cana-2475	137	17	accurately	accurately	ADV
cana-2475	137	18	predict	predict	VERB
cana-2475	137	19	trends	trend	NOUN
cana-2475	137	20	in	in	ADP
cana-2475	137	21	sensor	sensor	NOUN
cana-2475	137	22	data	datum	NOUN
cana-2475	137	23	,	,	PUNCT
cana-2475	137	24	minimise	minimise	NOUN
cana-2475	137	25	communication	communication	NOUN
cana-2475	137	26	overhead	overhead	ADV
cana-2475	137	27	,	,	PUNCT
cana-2475	137	28	and	and	CCONJ
cana-2475	137	29	maximise	maximise	NOUN
cana-2475	137	30	network	network	NOUN
cana-2475	137	31	performance	performance	NOUN
cana-2475	137	32	when	when	SCONJ
cana-2475	137	33	resources	resource	NOUN
cana-2475	137	34	are	be	AUX
cana-2475	137	35	limited	limited	ADJ
cana-2475	137	36	.	.	PUNCT
cana-2475	138	1	these	these	DET
cana-2475	138	2	advances	advance	NOUN
cana-2475	138	3	are	be	AUX
cana-2475	138	4	opening	open	VERB
cana-2475	138	5	the	the	DET
cana-2475	138	6	door	door	NOUN
cana-2475	138	7	to	to	ADP
cana-2475	138	8	more	more	ADV
cana-2475	138	9	resilient	resilient	ADJ
cana-2475	138	10	wsn	wsn	NOUN
cana-2475	138	11	architectures	architecture	NOUN
cana-2475	138	12	that	that	PRON
cana-2475	138	13	can	can	AUX
cana-2475	138	14	be	be	AUX
cana-2475	138	15	used	use	VERB
cana-2475	138	16	for	for	ADP
cana-2475	138	17	a	a	DET
cana-2475	138	18	range	range	NOUN
cana-2475	138	19	of	of	ADP
cana-2475	138	20	crucial	crucial	ADJ
cana-2475	138	21	applications	application	NOUN
cana-2475	138	22	.	.	PUNCT
cana-2475	139	1	communications	communication	NOUN
cana-2475	139	2	on	on	ADP
cana-2475	139	3	applied	apply	VERB
cana-2475	139	4	nonlinear	nonlinear	ADJ
cana-2475	139	5	analysis	analysis	NOUN
cana-2475	139	6	issn	issn	NOUN
cana-2475	139	7	:	:	PUNCT
cana-2475	139	8	1074	1074	NUM
cana-2475	139	9	-	-	PUNCT
cana-2475	139	10	133x	133x	NUM
cana-2475	139	11	vol	vol	NOUN
cana-2475	139	12	32	32	NUM
cana-2475	139	13	no	no	NOUN
cana-2475	139	14	.	.	PUNCT
cana-2475	140	1	2s	2s	NUM
cana-2475	140	2	(	(	PUNCT
cana-2475	140	3	2025	2025	NUM
cana-2475	140	4	)	)	PUNCT
cana-2475	140	5	472	472	NUM
cana-2475	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	140	7	research	research	NOUN
cana-2475	140	8	gaps	gap	VERB
cana-2475	140	9	the	the	DET
cana-2475	140	10	following	follow	VERB
cana-2475	140	11	research	research	NOUN
cana-2475	140	12	gaps	gap	NOUN
cana-2475	140	13	have	have	AUX
cana-2475	140	14	been	be	AUX
cana-2475	140	15	found	find	VERB
cana-2475	140	16	:	:	PUNCT
cana-2475	140	17	•	•	NUM
cana-2475	140	18	limited	limited	ADJ
cana-2475	140	19	research	research	NOUN
cana-2475	140	20	on	on	ADP
cana-2475	140	21	hybrid	hybrid	ADJ
cana-2475	140	22	models	model	NOUN
cana-2475	140	23	:	:	PUNCT
cana-2475	140	24	neural	neural	ADJ
cana-2475	140	25	network	network	NOUN
cana-2475	140	26	-	-	PUNCT
cana-2475	140	27	based	base	VERB
cana-2475	140	28	prediction	prediction	NOUN
cana-2475	140	29	models	model	NOUN
cana-2475	140	30	are	be	AUX
cana-2475	140	31	employed	employ	VERB
cana-2475	140	32	for	for	ADP
cana-2475	140	33	energy	energy	NOUN
cana-2475	140	34	-	-	PUNCT
cana-2475	140	35	efficient	efficient	ADJ
cana-2475	140	36	data	datum	NOUN
cana-2475	140	37	aggregation	aggregation	NOUN
cana-2475	140	38	,	,	PUNCT
cana-2475	140	39	but	but	CCONJ
cana-2475	140	40	there	there	PRON
cana-2475	140	41	is	be	VERB
cana-2475	140	42	still	still	ADV
cana-2475	140	43	little	little	ADJ
cana-2475	140	44	research	research	NOUN
cana-2475	140	45	on	on	ADP
cana-2475	140	46	their	their	PRON
cana-2475	140	47	integration	integration	NOUN
cana-2475	140	48	with	with	ADP
cana-2475	140	49	other	other	ADJ
cana-2475	140	50	cuttingedge	cuttingedge	ADJ
cana-2475	140	51	machine	machine	NOUN
cana-2475	140	52	learning	learning	NOUN
cana-2475	140	53	methods	method	NOUN
cana-2475	140	54	(	(	PUNCT
cana-2475	140	55	such	such	ADJ
cana-2475	140	56	reinforcement	reinforcement	NOUN
cana-2475	140	57	learning	learning	NOUN
cana-2475	140	58	or	or	CCONJ
cana-2475	140	59	deep	deep	ADJ
cana-2475	140	60	learning	learning	NOUN
cana-2475	140	61	variations	variation	NOUN
cana-2475	140	62	)	)	PUNCT
cana-2475	140	63	.	.	PUNCT
cana-2475	141	1	•	•	NUM
cana-2475	141	2	scalability	scalability	NOUN
cana-2475	141	3	in	in	ADP
cana-2475	141	4	large	large	ADJ
cana-2475	141	5	-	-	PUNCT
cana-2475	141	6	scale	scale	NOUN
cana-2475	141	7	networks	network	NOUN
cana-2475	141	8	:	:	PUNCT
cana-2475	141	9	in	in	ADP
cana-2475	141	10	large	large	ADJ
cana-2475	141	11	-	-	PUNCT
cana-2475	141	12	scale	scale	NOUN
cana-2475	141	13	wsns	wsns	NOUN
cana-2475	141	14	,	,	PUNCT
cana-2475	141	15	especially	especially	ADV
cana-2475	141	16	in	in	ADP
cana-2475	141	17	high	high	ADJ
cana-2475	141	18	-	-	PUNCT
cana-2475	141	19	density	density	NOUN
cana-2475	141	20	deployments	deployment	NOUN
cana-2475	141	21	like	like	ADP
cana-2475	141	22	smart	smart	ADJ
cana-2475	141	23	cities	city	NOUN
cana-2475	141	24	,	,	PUNCT
cana-2475	141	25	there	there	PRON
cana-2475	141	26	is	be	VERB
cana-2475	141	27	a	a	DET
cana-2475	141	28	deficiency	deficiency	NOUN
cana-2475	141	29	in	in	ADP
cana-2475	141	30	the	the	DET
cana-2475	141	31	treatment	treatment	NOUN
cana-2475	141	32	of	of	ADP
cana-2475	141	33	the	the	DET
cana-2475	141	34	scalability	scalability	NOUN
cana-2475	141	35	of	of	ADP
cana-2475	141	36	energy	energy	NOUN
cana-2475	141	37	-	-	PUNCT
cana-2475	141	38	efficient	efficient	ADJ
cana-2475	141	39	data	data	NOUN
cana-2475	141	40	aggregation	aggregation	NOUN
cana-2475	141	41	models	model	NOUN
cana-2475	141	42	.	.	PUNCT
cana-2475	142	1	•	•	NUM
cana-2475	142	2	real	real	ADJ
cana-2475	142	3	-	-	PUNCT
cana-2475	142	4	time	time	NOUN
cana-2475	142	5	adaptation	adaptation	NOUN
cana-2475	142	6	to	to	ADP
cana-2475	142	7	dynamic	dynamic	ADJ
cana-2475	142	8	settings	setting	NOUN
cana-2475	142	9	:	:	PUNCT
cana-2475	142	10	maintaining	maintain	VERB
cana-2475	142	11	energy	energy	NOUN
cana-2475	142	12	efficiency	efficiency	NOUN
cana-2475	142	13	over	over	ADP
cana-2475	142	14	time	time	NOUN
cana-2475	142	15	depends	depend	VERB
cana-2475	142	16	on	on	ADP
cana-2475	142	17	existing	exist	VERB
cana-2475	142	18	models	model	NOUN
cana-2475	142	19	being	be	AUX
cana-2475	142	20	able	able	ADJ
cana-2475	142	21	to	to	PART
cana-2475	142	22	adjust	adjust	VERB
cana-2475	142	23	to	to	ADP
cana-2475	142	24	dynamic	dynamic	ADJ
cana-2475	142	25	network	network	NOUN
cana-2475	142	26	settings	setting	NOUN
cana-2475	142	27	,	,	PUNCT
cana-2475	142	28	such	such	ADJ
cana-2475	142	29	as	as	ADP
cana-2475	142	30	node	node	ADJ
cana-2475	142	31	mobility	mobility	NOUN
cana-2475	142	32	or	or	CCONJ
cana-2475	142	33	changing	change	VERB
cana-2475	142	34	environmental	environmental	ADJ
cana-2475	142	35	conditions	condition	NOUN
cana-2475	142	36	.	.	PUNCT
cana-2475	143	1	•	•	NUM
cana-2475	143	2	security	security	NOUN
cana-2475	143	3	-	-	PUNCT
cana-2475	143	4	enhanced	enhance	VERB
cana-2475	143	5	data	data	NOUN
cana-2475	143	6	aggregation	aggregation	NOUN
cana-2475	143	7	:	:	PUNCT
cana-2475	143	8	neural	neural	ADJ
cana-2475	143	9	network	network	NOUN
cana-2475	143	10	-	-	PUNCT
cana-2475	143	11	based	base	VERB
cana-2475	143	12	energy	energy	NOUN
cana-2475	143	13	-	-	PUNCT
cana-2475	143	14	efficient	efficient	ADJ
cana-2475	143	15	data	data	NOUN
cana-2475	143	16	aggregation	aggregation	NOUN
cana-2475	143	17	solutions	solution	NOUN
cana-2475	143	18	still	still	ADV
cana-2475	143	19	do	do	AUX
cana-2475	143	20	not	not	PART
cana-2475	143	21	fully	fully	ADV
cana-2475	143	22	integrate	integrate	VERB
cana-2475	143	23	security	security	NOUN
cana-2475	143	24	features	feature	NOUN
cana-2475	143	25	,	,	PUNCT
cana-2475	143	26	particularly	particularly	ADV
cana-2475	143	27	for	for	ADP
cana-2475	143	28	applications	application	NOUN
cana-2475	143	29	in	in	ADP
cana-2475	143	30	hostile	hostile	ADJ
cana-2475	143	31	contexts	context	NOUN
cana-2475	143	32	such	such	ADJ
cana-2475	143	33	as	as	ADP
cana-2475	143	34	military	military	ADJ
cana-2475	143	35	or	or	CCONJ
cana-2475	143	36	disaster	disaster	NOUN
cana-2475	143	37	areas	area	NOUN
cana-2475	143	38	.	.	PUNCT
cana-2475	144	1	•	•	NUM
cana-2475	144	2	application	application	NOUN
cana-2475	144	3	-	-	PUNCT
cana-2475	144	4	specific	specific	ADJ
cana-2475	144	5	optimisation	optimisation	NOUN
cana-2475	144	6	:	:	PUNCT
cana-2475	144	7	research	research	NOUN
cana-2475	144	8	on	on	ADP
cana-2475	144	9	the	the	DET
cana-2475	144	10	optimisation	optimisation	NOUN
cana-2475	144	11	of	of	ADP
cana-2475	144	12	energy	energy	NOUN
cana-2475	144	13	-	-	PUNCT
cana-2475	144	14	efficient	efficient	ADJ
cana-2475	144	15	data	data	NOUN
cana-2475	144	16	aggregation	aggregation	NOUN
cana-2475	144	17	models	model	NOUN
cana-2475	144	18	for	for	ADP
cana-2475	144	19	specific	specific	ADJ
cana-2475	144	20	applications	application	NOUN
cana-2475	144	21	is	be	AUX
cana-2475	144	22	lacking	lack	VERB
cana-2475	144	23	,	,	PUNCT
cana-2475	144	24	especially	especially	ADV
cana-2475	144	25	in	in	ADP
cana-2475	144	26	fields	field	NOUN
cana-2475	144	27	where	where	SCONJ
cana-2475	144	28	timeliness	timeliness	NOUN
cana-2475	144	29	and	and	CCONJ
cana-2475	144	30	quality	quality	NOUN
cana-2475	144	31	of	of	ADP
cana-2475	144	32	data	datum	NOUN
cana-2475	144	33	are	be	AUX
cana-2475	144	34	critical	critical	ADJ
cana-2475	144	35	,	,	PUNCT
cana-2475	144	36	such	such	ADJ
cana-2475	144	37	as	as	ADP
cana-2475	144	38	healthcare	healthcare	NOUN
cana-2475	144	39	monitoring	monitoring	NOUN
cana-2475	144	40	.	.	PUNCT
cana-2475	145	1	iii	iii	X
cana-2475	145	2	.	.	NOUN
cana-2475	145	3	related	relate	VERB
cana-2475	145	4	case	case	NOUN
cana-2475	145	5	studies	study	NOUN
cana-2475	145	6	a.	a.	NOUN
cana-2475	145	7	hybrid	hybrid	NOUN
cana-2475	145	8	deep	deep	ADJ
cana-2475	145	9	learning	learning	NOUN
cana-2475	145	10	for	for	ADP
cana-2475	145	11	wsns	wsns	NOUN
cana-2475	145	12	the	the	DET
cana-2475	145	13	paper	paper	NOUN
cana-2475	145	14	focusses	focusse	NOUN
cana-2475	145	15	on	on	ADP
cana-2475	145	16	efficient	efficient	ADJ
cana-2475	145	17	hybrid	hybrid	ADJ
cana-2475	145	18	deep	deep	ADJ
cana-2475	145	19	learning	learning	NOUN
cana-2475	145	20	models	model	NOUN
cana-2475	145	21	that	that	PRON
cana-2475	145	22	combine	combine	VERB
cana-2475	145	23	long	long	ADJ
cana-2475	145	24	short	short	ADJ
cana-2475	145	25	-	-	PUNCT
cana-2475	145	26	term	term	NOUN
cana-2475	145	27	memory	memory	NOUN
cana-2475	145	28	(	(	PUNCT
cana-2475	145	29	lstm	lstm	NOUN
cana-2475	145	30	)	)	PUNCT
cana-2475	145	31	networks	network	NOUN
cana-2475	145	32	with	with	ADP
cana-2475	145	33	generative	generative	ADJ
cana-2475	145	34	adversarial	adversarial	ADJ
cana-2475	145	35	networks	network	NOUN
cana-2475	145	36	(	(	PUNCT
cana-2475	145	37	gan	gan	PROPN
cana-2475	145	38	)	)	PUNCT
cana-2475	145	39	for	for	ADP
cana-2475	145	40	data	data	NOUN
cana-2475	145	41	aggregation	aggregation	NOUN
cana-2475	145	42	and	and	CCONJ
cana-2475	145	43	grouping	group	VERB
cana-2475	145	44	in	in	ADP
cana-2475	145	45	wireless	wireless	ADJ
cana-2475	145	46	sensor	sensor	NOUN
cana-2475	145	47	networks	network	NOUN
cana-2475	145	48	(	(	PUNCT
cana-2475	145	49	wsns	wsns	PROPN
cana-2475	145	50	)	)	PUNCT
cana-2475	145	51	.	.	PUNCT
cana-2475	146	1	this	this	DET
cana-2475	146	2	case	case	NOUN
cana-2475	146	3	study	study	NOUN
cana-2475	146	4	demonstrates	demonstrate	VERB
cana-2475	146	5	how	how	SCONJ
cana-2475	146	6	these	these	DET
cana-2475	146	7	cuttingedge	cuttingedge	ADJ
cana-2475	146	8	algorithms	algorithm	NOUN
cana-2475	146	9	optimise	optimise	VERB
cana-2475	146	10	the	the	DET
cana-2475	146	11	aggregation	aggregation	NOUN
cana-2475	146	12	process	process	NOUN
cana-2475	146	13	to	to	PART
cana-2475	146	14	enable	enable	VERB
cana-2475	146	15	effective	effective	ADJ
cana-2475	146	16	data	datum	NOUN
cana-2475	146	17	transfer	transfer	NOUN
cana-2475	146	18	and	and	CCONJ
cana-2475	146	19	save	save	VERB
cana-2475	146	20	energy	energy	NOUN
cana-2475	146	21	consumption	consumption	NOUN
cana-2475	146	22	.	.	PUNCT
cana-2475	147	1	by	by	ADP
cana-2475	147	2	learning	learn	VERB
cana-2475	147	3	temporal	temporal	ADJ
cana-2475	147	4	patterns	pattern	NOUN
cana-2475	147	5	in	in	ADP
cana-2475	147	6	data	datum	NOUN
cana-2475	147	7	,	,	PUNCT
cana-2475	147	8	the	the	DET
cana-2475	147	9	hybrid	hybrid	ADJ
cana-2475	147	10	structure	structure	NOUN
cana-2475	147	11	helps	help	VERB
cana-2475	147	12	the	the	DET
cana-2475	147	13	system	system	NOUN
cana-2475	147	14	improve	improve	VERB
cana-2475	147	15	endurance	endurance	NOUN
cana-2475	147	16	and	and	CCONJ
cana-2475	147	17	performance	performance	NOUN
cana-2475	147	18	.	.	PUNCT
cana-2475	148	1	it	it	PRON
cana-2475	148	2	also	also	ADV
cana-2475	148	3	improves	improve	VERB
cana-2475	148	4	prediction	prediction	NOUN
cana-2475	148	5	accuracy	accuracy	NOUN
cana-2475	148	6	and	and	CCONJ
cana-2475	148	7	lowers	lower	VERB
cana-2475	148	8	energy	energy	NOUN
cana-2475	148	9	consumption	consumption	NOUN
cana-2475	148	10	in	in	ADP
cana-2475	148	11	sensor	sensor	NOUN
cana-2475	148	12	networks	network	NOUN
cana-2475	148	13	.	.	PUNCT
cana-2475	149	1	b.	b.	PROPN
cana-2475	149	2	embedded	embed	VERB
cana-2475	149	3	neural	neural	ADJ
cana-2475	149	4	networks	network	NOUN
cana-2475	149	5	for	for	ADP
cana-2475	149	6	energy	energy	NOUN
cana-2475	149	7	conservation	conservation	NOUN
cana-2475	149	8	the	the	DET
cana-2475	149	9	application	application	NOUN
cana-2475	149	10	of	of	ADP
cana-2475	149	11	embedded	embed	VERB
cana-2475	149	12	artificial	artificial	ADJ
cana-2475	149	13	neural	neural	ADJ
cana-2475	149	14	networks	network	NOUN
cana-2475	149	15	in	in	ADP
cana-2475	149	16	wsns	wsns	NOUN
cana-2475	149	17	and	and	CCONJ
cana-2475	149	18	their	their	PRON
cana-2475	149	19	efficiency	efficiency	NOUN
cana-2475	149	20	in	in	ADP
cana-2475	149	21	energy	energy	NOUN
cana-2475	149	22	conservation	conservation	NOUN
cana-2475	149	23	are	be	AUX
cana-2475	149	24	examined	examine	VERB
cana-2475	149	25	in	in	ADP
cana-2475	149	26	this	this	DET
cana-2475	149	27	case	case	NOUN
cana-2475	149	28	study	study	NOUN
cana-2475	149	29	.	.	PUNCT
cana-2475	150	1	the	the	DET
cana-2475	150	2	study	study	NOUN
cana-2475	150	3	shows	show	VERB
cana-2475	150	4	how	how	SCONJ
cana-2475	150	5	sensor	sensor	NOUN
cana-2475	150	6	node	node	NOUN
cana-2475	150	7	architectures	architecture	NOUN
cana-2475	150	8	can	can	AUX
cana-2475	150	9	optimise	optimise	VERB
cana-2475	150	10	energy	energy	NOUN
cana-2475	150	11	consumption	consumption	NOUN
cana-2475	150	12	for	for	ADP
cana-2475	150	13	data	data	NOUN
cana-2475	150	14	collection	collection	NOUN
cana-2475	150	15	and	and	CCONJ
cana-2475	150	16	transmission	transmission	NOUN
cana-2475	150	17	by	by	ADP
cana-2475	150	18	integrating	integrate	VERB
cana-2475	150	19	neural	neural	ADJ
cana-2475	150	20	networks	network	NOUN
cana-2475	150	21	.	.	PUNCT
cana-2475	151	1	neural	neural	ADJ
cana-2475	151	2	networks	network	NOUN
cana-2475	151	3	are	be	AUX
cana-2475	151	4	able	able	ADJ
cana-2475	151	5	to	to	PART
cana-2475	151	6	estimate	estimate	VERB
cana-2475	151	7	energy	energy	NOUN
cana-2475	151	8	requirements	requirement	NOUN
cana-2475	151	9	and	and	CCONJ
cana-2475	151	10	dynamically	dynamically	ADV
cana-2475	151	11	alter	alter	VERB
cana-2475	151	12	operating	operating	NOUN
cana-2475	151	13	parameters	parameter	NOUN
cana-2475	151	14	by	by	ADP
cana-2475	151	15	analysing	analyse	VERB
cana-2475	151	16	historical	historical	ADJ
cana-2475	151	17	performance	performance	NOUN
cana-2475	151	18	data	datum	NOUN
cana-2475	151	19	.	.	PUNCT
cana-2475	152	1	this	this	PRON
cana-2475	152	2	allows	allow	VERB
cana-2475	152	3	for	for	ADP
cana-2475	152	4	lowest	low	ADJ
cana-2475	152	5	energy	energy	NOUN
cana-2475	152	6	consumption	consumption	NOUN
cana-2475	152	7	while	while	SCONJ
cana-2475	152	8	retaining	retain	VERB
cana-2475	152	9	data	datum	NOUN
cana-2475	152	10	accuracy	accuracy	NOUN
cana-2475	152	11	.	.	PUNCT
cana-2475	153	1	this	this	DET
cana-2475	153	2	method	method	NOUN
cana-2475	153	3	greatly	greatly	ADV
cana-2475	153	4	extends	extend	VERB
cana-2475	153	5	the	the	DET
cana-2475	153	6	network	network	NOUN
cana-2475	153	7	's	's	PART
cana-2475	153	8	lifespan	lifespan	NOUN
cana-2475	153	9	and	and	CCONJ
cana-2475	153	10	overall	overall	ADJ
cana-2475	153	11	efficiency	efficiency	NOUN
cana-2475	153	12	.	.	PUNCT
cana-2475	154	1	c.	c.	NOUN
cana-2475	154	2	optimization	optimization	NOUN
cana-2475	154	3	via	via	ADP
cana-2475	154	4	auto	auto	NOUN
cana-2475	154	5	-	-	PUNCT
cana-2475	154	6	metric	metric	ADJ
cana-2475	154	7	graph	graph	NOUN
cana-2475	154	8	neural	neural	ADJ
cana-2475	154	9	network	network	NOUN
cana-2475	154	10	an	an	DET
cana-2475	154	11	optimised	optimise	VERB
cana-2475	154	12	auto	auto	NOUN
cana-2475	154	13	-	-	PUNCT
cana-2475	154	14	metric	metric	ADJ
cana-2475	154	15	graph	graph	NOUN
cana-2475	154	16	neural	neural	ADJ
cana-2475	154	17	network	network	NOUN
cana-2475	154	18	is	be	AUX
cana-2475	154	19	used	use	VERB
cana-2475	154	20	in	in	ADP
cana-2475	154	21	this	this	DET
cana-2475	154	22	case	case	NOUN
cana-2475	154	23	study	study	NOUN
cana-2475	154	24	to	to	PART
cana-2475	154	25	aggregate	aggregate	VERB
cana-2475	154	26	data	datum	NOUN
cana-2475	154	27	in	in	ADP
cana-2475	154	28	internet	internet	NOUN
cana-2475	154	29	of	of	ADP
cana-2475	154	30	thingsenabled	thingsenabled	ADJ
cana-2475	154	31	wireless	wireless	ADJ
cana-2475	154	32	sensor	sensor	NOUN
cana-2475	154	33	networks	network	NOUN
cana-2475	154	34	.	.	PUNCT
cana-2475	155	1	the	the	DET
cana-2475	155	2	goal	goal	NOUN
cana-2475	155	3	is	be	AUX
cana-2475	155	4	to	to	PART
cana-2475	155	5	increase	increase	VERB
cana-2475	155	6	energy	energy	NOUN
cana-2475	155	7	efficiency	efficiency	NOUN
cana-2475	155	8	while	while	SCONJ
cana-2475	155	9	maintaining	maintain	VERB
cana-2475	155	10	data	data	NOUN
cana-2475	155	11	transmission	transmission	NOUN
cana-2475	155	12	security	security	NOUN
cana-2475	155	13	.	.	PUNCT
cana-2475	156	1	the	the	DET
cana-2475	156	2	network	network	NOUN
cana-2475	156	3	's	's	PART
cana-2475	156	4	design	design	NOUN
cana-2475	156	5	minimises	minimise	NOUN
cana-2475	156	6	needless	needless	ADJ
cana-2475	156	7	energy	energy	NOUN
cana-2475	156	8	use	use	NOUN
cana-2475	156	9	in	in	ADP
cana-2475	156	10	data	datum	NOUN
cana-2475	156	11	relay	relay	NOUN
cana-2475	156	12	operations	operation	NOUN
cana-2475	156	13	by	by	ADP
cana-2475	156	14	enabling	enable	VERB
cana-2475	156	15	efficient	efficient	ADJ
cana-2475	156	16	coverage	coverage	NOUN
cana-2475	156	17	and	and	CCONJ
cana-2475	156	18	routing	routing	NOUN
cana-2475	156	19	choices	choice	NOUN
cana-2475	156	20	.	.	PUNCT
cana-2475	157	1	the	the	DET
cana-2475	157	2	results	result	NOUN
cana-2475	157	3	demonstrate	demonstrate	VERB
cana-2475	157	4	how	how	SCONJ
cana-2475	157	5	the	the	DET
cana-2475	157	6	communications	communication	NOUN
cana-2475	157	7	on	on	ADP
cana-2475	157	8	applied	apply	VERB
cana-2475	157	9	nonlinear	nonlinear	ADJ
cana-2475	157	10	analysis	analysis	NOUN
cana-2475	157	11	issn	issn	NOUN
cana-2475	157	12	:	:	PUNCT
cana-2475	157	13	1074	1074	NUM
cana-2475	157	14	-	-	PUNCT
cana-2475	157	15	133x	133x	NUM
cana-2475	157	16	vol	vol	NOUN
cana-2475	157	17	32	32	NUM
cana-2475	157	18	no	no	NOUN
cana-2475	157	19	.	.	PUNCT
cana-2475	158	1	2s	2s	NUM
cana-2475	158	2	(	(	PUNCT
cana-2475	158	3	2025	2025	NUM
cana-2475	158	4	)	)	PUNCT
cana-2475	158	5	473	473	NUM
cana-2475	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	158	7	model	model	NOUN
cana-2475	158	8	may	may	AUX
cana-2475	158	9	improve	improve	VERB
cana-2475	158	10	security	security	NOUN
cana-2475	158	11	and	and	CCONJ
cana-2475	158	12	energy	energy	NOUN
cana-2475	158	13	efficiency	efficiency	NOUN
cana-2475	158	14	,	,	PUNCT
cana-2475	158	15	making	make	VERB
cana-2475	158	16	it	it	PRON
cana-2475	158	17	a	a	DET
cana-2475	158	18	reliable	reliable	ADJ
cana-2475	158	19	option	option	NOUN
cana-2475	158	20	for	for	ADP
cana-2475	158	21	energy	energy	NOUN
cana-2475	158	22	-	-	PUNCT
cana-2475	158	23	conscious	conscious	ADJ
cana-2475	158	24	data	data	NOUN
cana-2475	158	25	aggregation	aggregation	NOUN
cana-2475	158	26	in	in	ADP
cana-2475	158	27	wireless	wireless	ADJ
cana-2475	158	28	sensor	sensor	NOUN
cana-2475	158	29	networks	network	NOUN
cana-2475	158	30	.	.	PUNCT
cana-2475	159	1	d.	d.	PROPN
cana-2475	159	2	neural	neural	PROPN
cana-2475	159	3	network	network	PROPN
cana-2475	159	4	impact	impact	NOUN
cana-2475	159	5	on	on	ADP
cana-2475	159	6	wsn	wsn	PROPN
cana-2475	159	7	energy	energy	NOUN
cana-2475	159	8	consumption	consumption	NOUN
cana-2475	159	9	the	the	DET
cana-2475	159	10	results	result	NOUN
cana-2475	159	11	of	of	ADP
cana-2475	159	12	this	this	DET
cana-2475	159	13	study	study	NOUN
cana-2475	159	14	show	show	VERB
cana-2475	159	15	that	that	SCONJ
cana-2475	159	16	a	a	DET
cana-2475	159	17	neural	neural	ADJ
cana-2475	159	18	network	network	NOUN
cana-2475	159	19	model	model	NOUN
cana-2475	159	20	can	can	AUX
cana-2475	159	21	significantly	significantly	ADV
cana-2475	159	22	improve	improve	VERB
cana-2475	159	23	wsn	wsn	PROPN
cana-2475	159	24	characteristics	characteristic	NOUN
cana-2475	159	25	,	,	PUNCT
cana-2475	159	26	especially	especially	ADV
cana-2475	159	27	in	in	ADP
cana-2475	159	28	terms	term	NOUN
cana-2475	159	29	of	of	ADP
cana-2475	159	30	energy	energy	NOUN
cana-2475	159	31	efficiency	efficiency	NOUN
cana-2475	159	32	.	.	PUNCT
cana-2475	160	1	the	the	DET
cana-2475	160	2	model	model	NOUN
cana-2475	160	3	uses	use	VERB
cana-2475	160	4	sophisticated	sophisticated	ADJ
cana-2475	160	5	algorithms	algorithm	NOUN
cana-2475	160	6	to	to	PART
cana-2475	160	7	forecast	forecast	VERB
cana-2475	160	8	and	and	CCONJ
cana-2475	160	9	dynamically	dynamically	ADV
cana-2475	160	10	modify	modify	VERB
cana-2475	160	11	parameters	parameter	NOUN
cana-2475	160	12	in	in	ADP
cana-2475	160	13	order	order	NOUN
cana-2475	160	14	to	to	PART
cana-2475	160	15	maximise	maximise	VERB
cana-2475	160	16	energy	energy	NOUN
cana-2475	160	17	consumption	consumption	NOUN
cana-2475	160	18	throughout	throughout	ADP
cana-2475	160	19	the	the	DET
cana-2475	160	20	network	network	NOUN
cana-2475	160	21	.	.	PUNCT
cana-2475	161	1	the	the	DET
cana-2475	161	2	study	study	NOUN
cana-2475	161	3	demonstrates	demonstrate	VERB
cana-2475	161	4	how	how	SCONJ
cana-2475	161	5	the	the	DET
cana-2475	161	6	use	use	NOUN
cana-2475	161	7	of	of	ADP
cana-2475	161	8	this	this	DET
cana-2475	161	9	neural	neural	ADJ
cana-2475	161	10	network	network	NOUN
cana-2475	161	11	results	result	NOUN
cana-2475	161	12	in	in	ADP
cana-2475	161	13	significant	significant	ADJ
cana-2475	161	14	performance	performance	NOUN
cana-2475	161	15	improvements	improvement	NOUN
cana-2475	161	16	,	,	PUNCT
cana-2475	161	17	which	which	PRON
cana-2475	161	18	in	in	ADP
cana-2475	161	19	turn	turn	NOUN
cana-2475	161	20	extends	extend	VERB
cana-2475	161	21	the	the	DET
cana-2475	161	22	operational	operational	ADJ
cana-2475	161	23	life	life	NOUN
cana-2475	161	24	of	of	ADP
cana-2475	161	25	the	the	DET
cana-2475	161	26	network	network	NOUN
cana-2475	161	27	.	.	PUNCT
cana-2475	162	1	the	the	DET
cana-2475	162	2	information	information	NOUN
cana-2475	162	3	offered	offer	VERB
cana-2475	162	4	highlights	highlight	NOUN
cana-2475	162	5	how	how	SCONJ
cana-2475	162	6	crucial	crucial	ADJ
cana-2475	162	7	it	it	PRON
cana-2475	162	8	is	be	AUX
cana-2475	162	9	for	for	SCONJ
cana-2475	162	10	sensor	sensor	NOUN
cana-2475	162	11	networks	network	NOUN
cana-2475	162	12	to	to	PART
cana-2475	162	13	have	have	VERB
cana-2475	162	14	effective	effective	ADJ
cana-2475	162	15	energy	energy	NOUN
cana-2475	162	16	management	management	NOUN
cana-2475	162	17	.	.	PUNCT
cana-2475	163	1	e.	e.	PROPN
cana-2475	163	2	radial	radial	PROPN
cana-2475	163	3	basis	basis	NOUN
cana-2475	163	4	function	function	NOUN
cana-2475	163	5	neural	neural	ADJ
cana-2475	163	6	network	network	NOUN
cana-2475	163	7	for	for	ADP
cana-2475	163	8	data	datum	NOUN
cana-2475	163	9	accuracy	accuracy	NOUN
cana-2475	163	10	the	the	DET
cana-2475	163	11	case	case	NOUN
cana-2475	163	12	study	study	NOUN
cana-2475	163	13	offers	offer	VERB
cana-2475	163	14	a	a	DET
cana-2475	163	15	novel	novel	ADJ
cana-2475	163	16	approach	approach	NOUN
cana-2475	163	17	to	to	ADP
cana-2475	163	18	data	datum	NOUN
cana-2475	163	19	aggregation	aggregation	NOUN
cana-2475	163	20	and	and	CCONJ
cana-2475	163	21	outlier	outlier	NOUN
cana-2475	163	22	detection	detection	NOUN
cana-2475	163	23	for	for	ADP
cana-2475	163	24	wireless	wireless	ADJ
cana-2475	163	25	sensor	sensor	NOUN
cana-2475	163	26	networks	network	NOUN
cana-2475	163	27	(	(	PUNCT
cana-2475	163	28	wsns	wsns	NOUN
cana-2475	163	29	)	)	PUNCT
cana-2475	163	30	that	that	PRON
cana-2475	163	31	is	be	AUX
cana-2475	163	32	based	base	VERB
cana-2475	163	33	on	on	ADP
cana-2475	163	34	a	a	DET
cana-2475	163	35	modified	modify	VERB
cana-2475	163	36	radial	radial	ADJ
cana-2475	163	37	basis	basis	NOUN
cana-2475	163	38	function	function	NOUN
cana-2475	163	39	neural	neural	ADJ
cana-2475	163	40	network	network	NOUN
cana-2475	163	41	.	.	PUNCT
cana-2475	164	1	this	this	DET
cana-2475	164	2	strategy	strategy	NOUN
cana-2475	164	3	targets	target	VERB
cana-2475	164	4	energy	energy	NOUN
cana-2475	164	5	efficiency	efficiency	NOUN
cana-2475	164	6	and	and	CCONJ
cana-2475	164	7	seeks	seek	VERB
cana-2475	164	8	to	to	PART
cana-2475	164	9	improve	improve	VERB
cana-2475	164	10	data	datum	NOUN
cana-2475	164	11	collecting	collecting	NOUN
cana-2475	164	12	accuracy	accuracy	NOUN
cana-2475	164	13	by	by	ADP
cana-2475	164	14	means	mean	NOUN
cana-2475	164	15	of	of	ADP
cana-2475	164	16	efficient	efficient	ADJ
cana-2475	164	17	aggregation	aggregation	NOUN
cana-2475	164	18	procedures	procedure	NOUN
cana-2475	164	19	.	.	PUNCT
cana-2475	165	1	through	through	ADP
cana-2475	165	2	the	the	DET
cana-2475	165	3	utilisation	utilisation	NOUN
cana-2475	165	4	of	of	ADP
cana-2475	165	5	the	the	DET
cana-2475	165	6	radial	radial	ADJ
cana-2475	165	7	basis	basis	NOUN
cana-2475	165	8	function	function	NOUN
cana-2475	165	9	's	's	PART
cana-2475	165	10	special	special	ADJ
cana-2475	165	11	properties	property	NOUN
cana-2475	165	12	,	,	PUNCT
cana-2475	165	13	the	the	DET
cana-2475	165	14	model	model	NOUN
cana-2475	165	15	dramatically	dramatically	ADV
cana-2475	165	16	lowers	lower	VERB
cana-2475	165	17	the	the	DET
cana-2475	165	18	energy	energy	NOUN
cana-2475	165	19	consumption	consumption	NOUN
cana-2475	165	20	that	that	PRON
cana-2475	165	21	occurs	occur	VERB
cana-2475	165	22	during	during	ADP
cana-2475	165	23	data	data	NOUN
cana-2475	165	24	processing	processing	NOUN
cana-2475	165	25	.	.	PUNCT
cana-2475	166	1	the	the	DET
cana-2475	166	2	results	result	NOUN
cana-2475	166	3	support	support	VERB
cana-2475	166	4	its	its	PRON
cana-2475	166	5	effectiveness	effectiveness	NOUN
cana-2475	166	6	in	in	ADP
cana-2475	166	7	maximising	maximise	VERB
cana-2475	166	8	data	datum	NOUN
cana-2475	166	9	collection	collection	NOUN
cana-2475	166	10	tactics	tactic	NOUN
cana-2475	166	11	in	in	ADP
cana-2475	166	12	contexts	context	NOUN
cana-2475	166	13	with	with	ADP
cana-2475	166	14	restricted	restrict	VERB
cana-2475	166	15	energy	energy	NOUN
cana-2475	166	16	resources	resource	NOUN
cana-2475	166	17	.	.	PUNCT
cana-2475	167	1	iv	iv	X
cana-2475	167	2	.	.	PUNCT
cana-2475	167	3	methodology	methodology	PROPN
cana-2475	167	4	feedforward	feedforward	NOUN
cana-2475	167	5	neural	neural	ADJ
cana-2475	167	6	networks	network	NOUN
cana-2475	167	7	(	(	PUNCT
cana-2475	167	8	fnn	fnn	NOUN
cana-2475	167	9	):	):	PUNCT
cana-2475	167	10	through	through	ADP
cana-2475	167	11	efficient	efficient	ADJ
cana-2475	167	12	data	datum	NOUN
cana-2475	167	13	aggregation	aggregation	NOUN
cana-2475	167	14	and	and	CCONJ
cana-2475	167	15	prediction	prediction	NOUN
cana-2475	167	16	,	,	PUNCT
cana-2475	167	17	feedforward	feedforward	ADJ
cana-2475	167	18	neural	neural	ADJ
cana-2475	167	19	networks	network	NOUN
cana-2475	167	20	(	(	PUNCT
cana-2475	167	21	fnn	fnn	NOUN
cana-2475	167	22	)	)	PUNCT
cana-2475	167	23	are	be	AUX
cana-2475	167	24	essential	essential	ADJ
cana-2475	167	25	for	for	ADP
cana-2475	167	26	improving	improve	VERB
cana-2475	167	27	energy	energy	NOUN
cana-2475	167	28	efficiency	efficiency	NOUN
cana-2475	167	29	in	in	ADP
cana-2475	167	30	wireless	wireless	ADJ
cana-2475	167	31	sensor	sensor	NOUN
cana-2475	167	32	networks	network	NOUN
cana-2475	167	33	(	(	PUNCT
cana-2475	167	34	wsns	wsns	NOUN
cana-2475	167	35	)	)	PUNCT
cana-2475	167	36	.	.	PUNCT
cana-2475	168	1	in	in	ADP
cana-2475	168	2	the	the	DET
cana-2475	168	3	study	study	NOUN
cana-2475	168	4	"	"	PUNCT
cana-2475	168	5	energy	energy	NOUN
cana-2475	168	6	-	-	PUNCT
cana-2475	168	7	efficient	efficient	ADJ
cana-2475	168	8	data	data	NOUN
cana-2475	168	9	aggregation	aggregation	NOUN
cana-2475	168	10	in	in	ADP
cana-2475	168	11	wireless	wireless	ADJ
cana-2475	168	12	sensor	sensor	NOUN
cana-2475	168	13	networks	network	NOUN
cana-2475	168	14	using	use	VERB
cana-2475	168	15	neural	neural	ADJ
cana-2475	168	16	network	network	NOUN
cana-2475	168	17	-	-	PUNCT
cana-2475	168	18	based	base	VERB
cana-2475	168	19	prediction	prediction	NOUN
cana-2475	168	20	models	model	NOUN
cana-2475	168	21	,	,	PUNCT
cana-2475	168	22	"	"	PUNCT
cana-2475	168	23	fnns	fnn	NOUN
cana-2475	168	24	make	make	VERB
cana-2475	168	25	use	use	NOUN
cana-2475	168	26	of	of	ADP
cana-2475	168	27	their	their	PRON
cana-2475	168	28	architecture	architecture	NOUN
cana-2475	168	29	to	to	PART
cana-2475	168	30	enhance	enhance	VERB
cana-2475	168	31	sensor	sensor	NOUN
cana-2475	168	32	node	node	NOUN
cana-2475	168	33	connectivity	connectivity	NOUN
cana-2475	168	34	.	.	PUNCT
cana-2475	169	1	the	the	DET
cana-2475	169	2	network	network	NOUN
cana-2475	169	3	can	can	AUX
cana-2475	169	4	precisely	precisely	ADV
cana-2475	169	5	forecast	forecast	VERB
cana-2475	169	6	variables	variable	NOUN
cana-2475	169	7	like	like	ADP
cana-2475	169	8	transmission	transmission	NOUN
cana-2475	169	9	power	power	NOUN
cana-2475	169	10	and	and	CCONJ
cana-2475	169	11	node	node	ADJ
cana-2475	169	12	activation	activation	NOUN
cana-2475	169	13	by	by	ADP
cana-2475	169	14	using	use	VERB
cana-2475	169	15	fnns	fnn	NOUN
cana-2475	169	16	,	,	PUNCT
cana-2475	169	17	which	which	PRON
cana-2475	169	18	dramatically	dramatically	ADV
cana-2475	169	19	lowers	lower	VERB
cana-2475	169	20	energy	energy	NOUN
cana-2475	169	21	consumption	consumption	NOUN
cana-2475	169	22	.	.	PUNCT
cana-2475	170	1	consequently	consequently	ADV
cana-2475	170	2	,	,	PUNCT
cana-2475	170	3	these	these	DET
cana-2475	170	4	models	model	NOUN
cana-2475	170	5	add	add	VERB
cana-2475	170	6	to	to	ADP
cana-2475	170	7	extended	extended	ADJ
cana-2475	170	8	network	network	NOUN
cana-2475	170	9	lifetime	lifetime	NOUN
cana-2475	170	10	and	and	CCONJ
cana-2475	170	11	efficient	efficient	ADJ
cana-2475	170	12	data	datum	NOUN
cana-2475	170	13	transfer	transfer	NOUN
cana-2475	170	14	,	,	PUNCT
cana-2475	170	15	which	which	PRON
cana-2475	170	16	is	be	AUX
cana-2475	170	17	why	why	SCONJ
cana-2475	170	18	fnns	fnn	NOUN
cana-2475	170	19	are	be	AUX
cana-2475	170	20	useful	useful	ADJ
cana-2475	170	21	in	in	ADP
cana-2475	170	22	wsn	wsn	PROPN
cana-2475	170	23	optimization	optimization	NOUN
cana-2475	170	24	tactics	tactic	NOUN
cana-2475	170	25	.	.	PUNCT
cana-2475	171	1	there	there	PRON
cana-2475	171	2	are	be	VERB
cana-2475	171	3	noticeable	noticeable	ADJ
cana-2475	171	4	gains	gain	NOUN
cana-2475	171	5	in	in	ADP
cana-2475	171	6	performance	performance	NOUN
cana-2475	171	7	and	and	CCONJ
cana-2475	171	8	efficiency	efficiency	NOUN
cana-2475	171	9	with	with	ADP
cana-2475	171	10	this	this	DET
cana-2475	171	11	method	method	NOUN
cana-2475	171	12	.	.	PUNCT
cana-2475	172	1	the	the	DET
cana-2475	172	2	most	most	ADV
cana-2475	172	3	basic	basic	ADJ
cana-2475	172	4	kind	kind	NOUN
cana-2475	172	5	of	of	ADP
cana-2475	172	6	artificial	artificial	ADJ
cana-2475	172	7	neural	neural	ADJ
cana-2475	172	8	network	network	NOUN
cana-2475	172	9	is	be	AUX
cana-2475	172	10	called	call	VERB
cana-2475	172	11	a	a	DET
cana-2475	172	12	feedforward	feedforward	ADJ
cana-2475	172	13	neural	neural	ADJ
cana-2475	172	14	network	network	NOUN
cana-2475	172	15	,	,	PUNCT
cana-2475	172	16	in	in	ADP
cana-2475	172	17	which	which	PRON
cana-2475	172	18	there	there	PRON
cana-2475	172	19	are	be	VERB
cana-2475	172	20	no	no	DET
cana-2475	172	21	cycles	cycle	NOUN
cana-2475	172	22	in	in	ADP
cana-2475	172	23	the	the	DET
cana-2475	172	24	connections	connection	NOUN
cana-2475	172	25	between	between	ADP
cana-2475	172	26	the	the	DET
cana-2475	172	27	nodes	node	NOUN
cana-2475	172	28	.	.	PUNCT
cana-2475	173	1	an	an	DET
cana-2475	173	2	fnn	fnn	NOUN
cana-2475	173	3	's	's	PART
cana-2475	173	4	output	output	NOUN
cana-2475	173	5	,	,	PUNCT
cana-2475	173	6	y	y	PROPN
cana-2475	173	7	,	,	PUNCT
cana-2475	173	8	is	be	AUX
cana-2475	173	9	provided	provide	VERB
cana-2475	173	10	by	by	ADP
cana-2475	173	11	equation	equation	NOUN
cana-2475	173	12	(	(	PUNCT
cana-2475	173	13	1	1	NUM
cana-2475	173	14	)	)	PUNCT
cana-2475	173	15	:	:	PUNCT
cana-2475	173	16	(	(	PUNCT
cana-2475	173	17	1	1	X
cana-2475	173	18	)	)	PUNCT
cana-2475	173	19	where	where	SCONJ
cana-2475	173	20	:	:	PUNCT
cana-2475	173	21	𝑥𝑖	𝑥𝑖	PRON
cana-2475	173	22	are	be	AUX
cana-2475	173	23	the	the	DET
cana-2475	173	24	input	input	NOUN
cana-2475	173	25	features	feature	NOUN
cana-2475	173	26	.	.	PUNCT
cana-2475	174	1	𝜔𝑖	𝜔𝑖	X
cana-2475	174	2	are	be	AUX
cana-2475	174	3	the	the	DET
cana-2475	174	4	weights	weight	NOUN
cana-2475	174	5	associated	associate	VERB
cana-2475	174	6	with	with	ADP
cana-2475	174	7	each	each	DET
cana-2475	174	8	input	input	NOUN
cana-2475	174	9	.	.	PUNCT
cana-2475	175	1	b	b	NOUN
cana-2475	175	2	is	be	AUX
cana-2475	175	3	the	the	DET
cana-2475	175	4	bias	bias	NOUN
cana-2475	175	5	term	term	NOUN
cana-2475	175	6	.	.	PUNCT
cana-2475	176	1	𝑓	𝑓	PRON
cana-2475	176	2	is	be	AUX
cana-2475	176	3	the	the	DET
cana-2475	176	4	activation	activation	NOUN
cana-2475	176	5	function	function	NOUN
cana-2475	176	6	,	,	PUNCT
cana-2475	176	7	such	such	ADJ
cana-2475	176	8	as	as	ADP
cana-2475	176	9	sigmoid	sigmoid	NOUN
cana-2475	176	10	,	,	PUNCT
cana-2475	176	11	relu	relu	NOUN
cana-2475	176	12	,	,	PUNCT
cana-2475	176	13	or	or	CCONJ
cana-2475	176	14	tanh	tanh	NOUN
cana-2475	176	15	.	.	PUNCT
cana-2475	177	1	communications	communication	NOUN
cana-2475	177	2	on	on	ADP
cana-2475	177	3	applied	apply	VERB
cana-2475	177	4	nonlinear	nonlinear	ADJ
cana-2475	177	5	analysis	analysis	NOUN
cana-2475	177	6	issn	issn	NOUN
cana-2475	177	7	:	:	PUNCT
cana-2475	177	8	1074	1074	NUM
cana-2475	177	9	-	-	PUNCT
cana-2475	177	10	133x	133x	NUM
cana-2475	177	11	vol	vol	NOUN
cana-2475	177	12	32	32	NUM
cana-2475	177	13	no	no	NOUN
cana-2475	177	14	.	.	PUNCT
cana-2475	178	1	2s	2s	NUM
cana-2475	178	2	(	(	PUNCT
cana-2475	178	3	2025	2025	NUM
cana-2475	178	4	)	)	PUNCT
cana-2475	178	5	474	474	NUM
cana-2475	178	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	178	7	for	for	ADP
cana-2475	178	8	simple	simple	ADJ
cana-2475	178	9	tasks	task	NOUN
cana-2475	178	10	where	where	SCONJ
cana-2475	178	11	layers	layer	NOUN
cana-2475	178	12	of	of	ADP
cana-2475	178	13	neurons	neuron	NOUN
cana-2475	178	14	translate	translate	VERB
cana-2475	178	15	the	the	DET
cana-2475	178	16	input	input	NOUN
cana-2475	178	17	to	to	ADP
cana-2475	178	18	the	the	DET
cana-2475	178	19	output	output	NOUN
cana-2475	178	20	directly	directly	ADV
cana-2475	178	21	,	,	PUNCT
cana-2475	178	22	fnns	fnn	NOUN
cana-2475	178	23	are	be	AUX
cana-2475	178	24	employed	employ	VERB
cana-2475	178	25	.	.	PUNCT
cana-2475	179	1	for	for	ADP
cana-2475	179	2	static	static	ADJ
cana-2475	179	3	prediction	prediction	NOUN
cana-2475	179	4	jobs	job	NOUN
cana-2475	179	5	in	in	ADP
cana-2475	179	6	data	datum	NOUN
cana-2475	179	7	aggregation	aggregation	NOUN
cana-2475	179	8	,	,	PUNCT
cana-2475	179	9	they	they	PRON
cana-2475	179	10	work	work	VERB
cana-2475	179	11	well	well	ADV
cana-2475	179	12	.	.	PUNCT
cana-2475	180	1	recurrent	recurrent	ADJ
cana-2475	180	2	neural	neural	ADJ
cana-2475	180	3	networks	network	NOUN
cana-2475	180	4	(	(	PUNCT
cana-2475	180	5	rnn	rnn	PROPN
cana-2475	180	6	):	):	PUNCT
cana-2475	180	7	wireless	wireless	ADJ
cana-2475	180	8	sensor	sensor	NOUN
cana-2475	180	9	networks	network	NOUN
cana-2475	180	10	(	(	PUNCT
cana-2475	180	11	wsns	wsns	NOUN
cana-2475	180	12	)	)	PUNCT
cana-2475	180	13	,	,	PUNCT
cana-2475	180	14	recurrent	recurrent	ADJ
cana-2475	180	15	neural	neural	ADJ
cana-2475	180	16	networks	network	NOUN
cana-2475	180	17	(	(	PUNCT
cana-2475	180	18	rnn	rnn	PROPN
cana-2475	180	19	)	)	PUNCT
cana-2475	180	20	play	play	VERB
cana-2475	180	21	a	a	DET
cana-2475	180	22	key	key	ADJ
cana-2475	180	23	role	role	NOUN
cana-2475	180	24	in	in	ADP
cana-2475	180	25	optimizing	optimize	VERB
cana-2475	180	26	data	datum	NOUN
cana-2475	180	27	processing	processing	NOUN
cana-2475	180	28	for	for	ADP
cana-2475	180	29	energyefficient	energyefficient	NOUN
cana-2475	180	30	data	datum	NOUN
cana-2475	180	31	aggregation	aggregation	NOUN
cana-2475	180	32	.	.	PUNCT
cana-2475	181	1	regarding	regard	VERB
cana-2475	181	2	the	the	DET
cana-2475	181	3	study	study	NOUN
cana-2475	181	4	"	"	PUNCT
cana-2475	181	5	energyefficient	energyefficient	NOUN
cana-2475	181	6	data	data	NOUN
cana-2475	181	7	aggregation	aggregation	NOUN
cana-2475	181	8	in	in	ADP
cana-2475	181	9	wireless	wireless	ADJ
cana-2475	181	10	sensor	sensor	NOUN
cana-2475	181	11	networks	network	NOUN
cana-2475	181	12	using	use	VERB
cana-2475	181	13	neural	neural	ADJ
cana-2475	181	14	network	network	NOUN
cana-2475	181	15	-	-	PUNCT
cana-2475	181	16	based	base	VERB
cana-2475	181	17	prediction	prediction	NOUN
cana-2475	181	18	models	model	NOUN
cana-2475	181	19	,	,	PUNCT
cana-2475	181	20	"	"	PUNCT
cana-2475	181	21	rnns	rnn	NOUN
cana-2475	181	22	are	be	AUX
cana-2475	181	23	particularly	particularly	ADV
cana-2475	181	24	good	good	ADJ
cana-2475	181	25	at	at	ADP
cana-2475	181	26	processing	process	VERB
cana-2475	181	27	sequential	sequential	ADJ
cana-2475	181	28	data	datum	NOUN
cana-2475	181	29	,	,	PUNCT
cana-2475	181	30	which	which	PRON
cana-2475	181	31	makes	make	VERB
cana-2475	181	32	it	it	PRON
cana-2475	181	33	possible	possible	ADJ
cana-2475	181	34	to	to	PART
cana-2475	181	35	forecast	forecast	VERB
cana-2475	181	36	sensor	sensor	NOUN
cana-2475	181	37	readings	reading	NOUN
cana-2475	181	38	accurately	accurately	ADV
cana-2475	181	39	over	over	ADP
cana-2475	181	40	time	time	NOUN
cana-2475	181	41	.	.	PUNCT
cana-2475	182	1	by	by	ADP
cana-2475	182	2	streamlining	streamline	VERB
cana-2475	182	3	transmission	transmission	NOUN
cana-2475	182	4	patterns	pattern	NOUN
cana-2475	182	5	and	and	CCONJ
cana-2475	182	6	cutting	cut	VERB
cana-2475	182	7	down	down	ADP
cana-2475	182	8	on	on	ADP
cana-2475	182	9	pointless	pointless	ADJ
cana-2475	182	10	data	datum	NOUN
cana-2475	182	11	transmissions	transmission	NOUN
cana-2475	182	12	,	,	PUNCT
cana-2475	182	13	this	this	DET
cana-2475	182	14	temporal	temporal	ADJ
cana-2475	182	15	feature	feature	NOUN
cana-2475	182	16	helps	help	VERB
cana-2475	182	17	to	to	PART
cana-2475	182	18	minimize	minimize	VERB
cana-2475	182	19	energy	energy	NOUN
cana-2475	182	20	use	use	NOUN
cana-2475	182	21	.	.	PUNCT
cana-2475	183	1	with	with	ADP
cana-2475	183	2	accurate	accurate	ADJ
cana-2475	183	3	data	data	NOUN
cana-2475	183	4	aggregation	aggregation	NOUN
cana-2475	183	5	techniques	technique	NOUN
cana-2475	183	6	,	,	PUNCT
cana-2475	183	7	rnns	rnn	NOUN
cana-2475	183	8	can	can	AUX
cana-2475	183	9	adjust	adjust	VERB
cana-2475	183	10	to	to	ADP
cana-2475	183	11	changing	change	VERB
cana-2475	183	12	network	network	NOUN
cana-2475	183	13	circumstances	circumstance	NOUN
cana-2475	183	14	,	,	PUNCT
cana-2475	183	15	ultimately	ultimately	ADV
cana-2475	183	16	resulting	result	VERB
cana-2475	183	17	in	in	ADP
cana-2475	183	18	longer	long	ADJ
cana-2475	183	19	network	network	NOUN
cana-2475	183	20	lifetimes	lifetime	NOUN
cana-2475	183	21	and	and	CCONJ
cana-2475	183	22	increased	increase	VERB
cana-2475	183	23	overall	overall	ADJ
cana-2475	183	24	efficiency	efficiency	NOUN
cana-2475	183	25	.	.	PUNCT
cana-2475	184	1	in	in	ADP
cana-2475	184	2	order	order	NOUN
cana-2475	184	3	to	to	PART
cana-2475	184	4	process	process	VERB
cana-2475	184	5	sequential	sequential	ADJ
cana-2475	184	6	input	input	NOUN
cana-2475	184	7	,	,	PUNCT
cana-2475	184	8	recurrent	recurrent	ADJ
cana-2475	184	9	neural	neural	ADJ
cana-2475	184	10	networks	network	NOUN
cana-2475	184	11	keep	keep	VERB
cana-2475	184	12	track	track	NOUN
cana-2475	184	13	of	of	ADP
cana-2475	184	14	a	a	DET
cana-2475	184	15	hidden	hidden	ADJ
cana-2475	184	16	state	state	NOUN
cana-2475	184	17	that	that	PRON
cana-2475	184	18	contains	contain	VERB
cana-2475	184	19	data	datum	NOUN
cana-2475	184	20	from	from	ADP
cana-2475	184	21	earlier	early	ADJ
cana-2475	184	22	time	time	NOUN
cana-2475	184	23	steps	step	NOUN
cana-2475	184	24	in	in	ADP
cana-2475	184	25	equation	equation	NOUN
cana-2475	184	26	(	(	PUNCT
cana-2475	184	27	2	2	NUM
cana-2475	184	28	)	)	PUNCT
cana-2475	184	29	.	.	PUNCT
cana-2475	185	1	the	the	DET
cana-2475	185	2	following	follow	VERB
cana-2475	185	3	is	be	AUX
cana-2475	185	4	an	an	DET
cana-2475	185	5	update	update	NOUN
cana-2475	185	6	to	to	ADP
cana-2475	185	7	the	the	DET
cana-2475	185	8	hidden	hidden	ADJ
cana-2475	185	9	state	state	NOUN
cana-2475	185	10	𝐻𝑡	𝐻𝑡	NOUN
cana-2475	185	11	:	:	PUNCT
cana-2475	185	12	𝐻𝑡	𝐻𝑡	PROPN
cana-2475	185	13	=	=	PUNCT
cana-2475	185	14	𝑓	𝑓	PROPN
cana-2475	185	15	(	(	PUNCT
cana-2475	185	16	𝑊ℎ	𝑊ℎ	PROPN
cana-2475	185	17	∗	∗	NOUN
cana-2475	185	18	𝐻𝑡−1	𝐻𝑡−1	VERB
cana-2475	185	19	+	+	X
cana-2475	186	1	𝑊𝑥	𝑊𝑥	ADP
cana-2475	186	2	∗	∗	NOUN
cana-2475	186	3	𝑋𝑡	𝑋𝑡	PROPN
cana-2475	186	4	+	+	CCONJ
cana-2475	186	5	𝑏	𝑏	NOUN
cana-2475	186	6	)	)	PUNCT
cana-2475	186	7	(	(	PUNCT
cana-2475	186	8	2	2	X
cana-2475	186	9	)	)	PUNCT
cana-2475	186	10	where	where	SCONJ
cana-2475	186	11	,	,	PUNCT
cana-2475	186	12	𝐻𝑡	𝐻𝑡	PROPN
cana-2475	186	13	is	be	AUX
cana-2475	186	14	the	the	DET
cana-2475	186	15	hidden	hidden	ADJ
cana-2475	186	16	state	state	NOUN
cana-2475	186	17	at	at	ADP
cana-2475	186	18	time	time	NOUN
cana-2475	186	19	t	t	PROPN
cana-2475	186	20	,	,	PUNCT
cana-2475	186	21	𝑊ℎ	𝑊ℎ	PROPN
cana-2475	186	22	is	be	AUX
cana-2475	186	23	the	the	DET
cana-2475	186	24	recurrent	recurrent	ADJ
cana-2475	186	25	weight	weight	NOUN
cana-2475	186	26	matrix	matrix	NOUN
cana-2475	186	27	,	,	PUNCT
cana-2475	186	28	𝑊𝑥	𝑊𝑥	NOUN
cana-2475	186	29	is	be	AUX
cana-2475	186	30	the	the	DET
cana-2475	186	31	input	input	NOUN
cana-2475	186	32	weight	weight	NOUN
cana-2475	186	33	matrix	matrix	NOUN
cana-2475	186	34	,	,	PUNCT
cana-2475	186	35	and	and	CCONJ
cana-2475	186	36	𝑏	𝑏	PROPN
cana-2475	186	37	is	be	AUX
cana-2475	186	38	the	the	DET
cana-2475	186	39	bias	bias	NOUN
cana-2475	186	40	term	term	NOUN
cana-2475	186	41	.	.	PUNCT
cana-2475	187	1	rnns	rnn	NOUN
cana-2475	187	2	are	be	AUX
cana-2475	187	3	appropriate	appropriate	ADJ
cana-2475	187	4	for	for	ADP
cana-2475	187	5	jobs	job	NOUN
cana-2475	187	6	like	like	ADP
cana-2475	187	7	forecasting	forecasting	NOUN
cana-2475	187	8	sensor	sensor	NOUN
cana-2475	187	9	readings	reading	NOUN
cana-2475	187	10	over	over	ADP
cana-2475	187	11	time	time	NOUN
cana-2475	187	12	,	,	PUNCT
cana-2475	187	13	when	when	SCONJ
cana-2475	187	14	historical	historical	ADJ
cana-2475	187	15	data	datum	NOUN
cana-2475	187	16	is	be	AUX
cana-2475	187	17	crucial	crucial	ADJ
cana-2475	187	18	.	.	PUNCT
cana-2475	188	1	they	they	PRON
cana-2475	188	2	manage	manage	VERB
cana-2475	188	3	data	datum	NOUN
cana-2475	188	4	aggregation	aggregation	NOUN
cana-2475	188	5	's	's	PART
cana-2475	188	6	temporal	temporal	ADJ
cana-2475	188	7	dependencies	dependency	NOUN
cana-2475	188	8	.	.	PUNCT
cana-2475	189	1	long	long	ADJ
cana-2475	189	2	short	short	ADJ
cana-2475	189	3	-	-	PUNCT
cana-2475	189	4	term	term	NOUN
cana-2475	189	5	memory	memory	NOUN
cana-2475	189	6	(	(	PUNCT
cana-2475	189	7	lstm	lstm	NOUN
cana-2475	189	8	)	)	PUNCT
cana-2475	189	9	networks	network	NOUN
cana-2475	189	10	:	:	PUNCT
cana-2475	189	11	a	a	DET
cana-2475	189	12	specific	specific	ADJ
cana-2475	189	13	type	type	NOUN
cana-2475	189	14	of	of	ADP
cana-2475	189	15	recurrent	recurrent	ADJ
cana-2475	189	16	neural	neural	ADJ
cana-2475	189	17	network	network	NOUN
cana-2475	189	18	(	(	PUNCT
cana-2475	189	19	rnn	rnn	PROPN
cana-2475	189	20	)	)	PUNCT
cana-2475	189	21	called	call	VERB
cana-2475	189	22	long	long	ADJ
cana-2475	189	23	short	short	ADJ
cana-2475	189	24	-	-	PUNCT
cana-2475	189	25	term	term	NOUN
cana-2475	189	26	memory	memory	NOUN
cana-2475	189	27	(	(	PUNCT
cana-2475	189	28	lstm	lstm	ADJ
cana-2475	189	29	)	)	PUNCT
cana-2475	189	30	network	network	NOUN
cana-2475	189	31	is	be	AUX
cana-2475	189	32	intended	intend	VERB
cana-2475	189	33	to	to	PART
cana-2475	189	34	efficiently	efficiently	ADV
cana-2475	189	35	recognize	recognize	VERB
cana-2475	189	36	and	and	CCONJ
cana-2475	189	37	store	store	VERB
cana-2475	189	38	long	long	ADJ
cana-2475	189	39	-	-	PUNCT
cana-2475	189	40	range	range	NOUN
cana-2475	189	41	dependencies	dependency	NOUN
cana-2475	189	42	in	in	ADP
cana-2475	189	43	sequential	sequential	ADJ
cana-2475	189	44	input	input	NOUN
cana-2475	189	45	.	.	PUNCT
cana-2475	190	1	in	in	ADP
cana-2475	190	2	the	the	DET
cana-2475	190	3	context	context	NOUN
cana-2475	190	4	of	of	ADP
cana-2475	190	5	"	"	PUNCT
cana-2475	190	6	energy	energy	NOUN
cana-2475	190	7	-	-	PUNCT
cana-2475	190	8	efficient	efficient	ADJ
cana-2475	190	9	data	data	NOUN
cana-2475	190	10	aggregation	aggregation	NOUN
cana-2475	190	11	in	in	ADP
cana-2475	190	12	wireless	wireless	ADJ
cana-2475	190	13	sensor	sensor	NOUN
cana-2475	190	14	networks	network	NOUN
cana-2475	190	15	using	use	VERB
cana-2475	190	16	neural	neural	ADJ
cana-2475	190	17	network	network	NOUN
cana-2475	190	18	-	-	PUNCT
cana-2475	190	19	based	base	VERB
cana-2475	190	20	prediction	prediction	NOUN
cana-2475	190	21	models	model	NOUN
cana-2475	190	22	,	,	PUNCT
cana-2475	190	23	"	"	PUNCT
cana-2475	190	24	temporal	temporal	ADJ
cana-2475	190	25	correlations	correlation	NOUN
cana-2475	190	26	among	among	ADP
cana-2475	190	27	measurements	measurement	NOUN
cana-2475	190	28	provided	provide	VERB
cana-2475	190	29	by	by	ADP
cana-2475	190	30	lstm	lstm	ADJ
cana-2475	190	31	networks	network	NOUN
cana-2475	190	32	can	can	AUX
cana-2475	190	33	greatly	greatly	ADV
cana-2475	190	34	improve	improve	VERB
cana-2475	190	35	sensor	sensor	NOUN
cana-2475	190	36	data	datum	NOUN
cana-2475	190	37	predictive	predictive	ADJ
cana-2475	190	38	accuracy	accuracy	NOUN
cana-2475	190	39	.	.	PUNCT
cana-2475	191	1	with	with	ADP
cana-2475	191	2	the	the	DET
cana-2475	191	3	help	help	NOUN
cana-2475	191	4	of	of	ADP
cana-2475	191	5	lstm	lstm	PROPN
cana-2475	191	6	's	's	PART
cana-2475	191	7	capacity	capacity	NOUN
cana-2475	191	8	to	to	PART
cana-2475	191	9	control	control	VERB
cana-2475	191	10	both	both	DET
cana-2475	191	11	shortand	shortand	NOUN
cana-2475	191	12	long	long	ADJ
cana-2475	191	13	-	-	PUNCT
cana-2475	191	14	term	term	NOUN
cana-2475	191	15	data	datum	NOUN
cana-2475	191	16	dependencies	dependency	NOUN
cana-2475	191	17	,	,	PUNCT
cana-2475	191	18	the	the	DET
cana-2475	191	19	suggested	suggest	VERB
cana-2475	191	20	models	model	NOUN
cana-2475	191	21	can	can	AUX
cana-2475	191	22	dynamically	dynamically	ADV
cana-2475	191	23	modify	modify	VERB
cana-2475	191	24	transmission	transmission	NOUN
cana-2475	191	25	plans	plan	NOUN
cana-2475	191	26	in	in	ADP
cana-2475	191	27	order	order	NOUN
cana-2475	191	28	to	to	PART
cana-2475	191	29	maximize	maximize	VERB
cana-2475	191	30	energy	energy	NOUN
cana-2475	191	31	efficiency	efficiency	NOUN
cana-2475	191	32	.	.	PUNCT
cana-2475	192	1	these	these	DET
cana-2475	192	2	networks	network	NOUN
cana-2475	192	3	are	be	AUX
cana-2475	192	4	particularly	particularly	ADV
cana-2475	192	5	good	good	ADJ
cana-2475	192	6	at	at	ADP
cana-2475	192	7	handling	handle	VERB
cana-2475	192	8	time	time	NOUN
cana-2475	192	9	-	-	PUNCT
cana-2475	192	10	series	series	NOUN
cana-2475	192	11	data	datum	NOUN
cana-2475	192	12	,	,	PUNCT
cana-2475	192	13	which	which	PRON
cana-2475	192	14	is	be	AUX
cana-2475	192	15	important	important	ADJ
cana-2475	192	16	for	for	ADP
cana-2475	192	17	predicting	predict	VERB
cana-2475	192	18	sensor	sensor	NOUN
cana-2475	192	19	readings	reading	NOUN
cana-2475	192	20	and	and	CCONJ
cana-2475	192	21	cutting	cut	VERB
cana-2475	192	22	down	down	ADP
cana-2475	192	23	on	on	ADP
cana-2475	192	24	pointless	pointless	ADJ
cana-2475	192	25	data	datum	NOUN
cana-2475	192	26	transfers	transfer	NOUN
cana-2475	192	27	.	.	PUNCT
cana-2475	193	1	consequently	consequently	ADV
cana-2475	193	2	,	,	PUNCT
cana-2475	193	3	the	the	DET
cana-2475	193	4	utilization	utilization	NOUN
cana-2475	193	5	of	of	ADP
cana-2475	193	6	lstm	lstm	NOUN
cana-2475	193	7	networks	network	NOUN
cana-2475	193	8	can	can	AUX
cana-2475	193	9	result	result	VERB
cana-2475	193	10	in	in	ADP
cana-2475	193	11	enhanced	enhanced	ADJ
cana-2475	193	12	data	datum	NOUN
cana-2475	193	13	quality	quality	NOUN
cana-2475	193	14	and	and	CCONJ
cana-2475	193	15	longer	long	ADJ
cana-2475	193	16	network	network	NOUN
cana-2475	193	17	lifespans	lifespan	NOUN
cana-2475	193	18	,	,	PUNCT
cana-2475	193	19	proving	prove	VERB
cana-2475	193	20	the	the	DET
cana-2475	193	21	effectiveness	effectiveness	NOUN
cana-2475	193	22	of	of	ADP
cana-2475	193	23	these	these	DET
cana-2475	193	24	networks	network	NOUN
cana-2475	193	25	in	in	ADP
cana-2475	193	26	resolving	resolve	VERB
cana-2475	193	27	energy	energy	NOUN
cana-2475	193	28	-	-	PUNCT
cana-2475	193	29	related	relate	VERB
cana-2475	193	30	issues	issue	NOUN
cana-2475	193	31	related	relate	VERB
cana-2475	193	32	to	to	ADP
cana-2475	193	33	data	data	NOUN
cana-2475	193	34	aggregation	aggregation	NOUN
cana-2475	193	35	in	in	ADP
cana-2475	193	36	wireless	wireless	ADJ
cana-2475	193	37	sensor	sensor	NOUN
cana-2475	193	38	networks	network	NOUN
cana-2475	193	39	.	.	PUNCT
cana-2475	194	1	consequently	consequently	ADV
cana-2475	194	2	,	,	PUNCT
cana-2475	194	3	lstm	lstm	ADJ
cana-2475	194	4	networks	network	NOUN
cana-2475	194	5	play	play	VERB
cana-2475	194	6	a	a	DET
cana-2475	194	7	key	key	ADJ
cana-2475	194	8	role	role	NOUN
cana-2475	194	9	in	in	ADP
cana-2475	194	10	retaining	retain	VERB
cana-2475	194	11	strong	strong	ADJ
cana-2475	194	12	predictive	predictive	ADJ
cana-2475	194	13	performance	performance	NOUN
cana-2475	194	14	while	while	SCONJ
cana-2475	194	15	attaining	attain	VERB
cana-2475	194	16	energy	energy	NOUN
cana-2475	194	17	economy	economy	NOUN
cana-2475	194	18	.	.	PUNCT
cana-2475	195	1	lstm	lstm	PROPN
cana-2475	195	2	networks	network	NOUN
cana-2475	195	3	are	be	AUX
cana-2475	195	4	a	a	DET
cana-2475	195	5	kind	kind	NOUN
cana-2475	195	6	of	of	ADP
cana-2475	195	7	rnn	rnn	NOUN
cana-2475	195	8	that	that	PRON
cana-2475	195	9	use	use	VERB
cana-2475	195	10	a	a	DET
cana-2475	195	11	more	more	ADV
cana-2475	195	12	intricate	intricate	ADJ
cana-2475	195	13	cell	cell	NOUN
cana-2475	195	14	structure	structure	NOUN
cana-2475	195	15	to	to	PART
cana-2475	195	16	solve	solve	VERB
cana-2475	195	17	the	the	DET
cana-2475	195	18	vanishing	vanish	VERB
cana-2475	195	19	gradient	gradient	NOUN
cana-2475	195	20	issue	issue	NOUN
cana-2475	195	21	.	.	PUNCT
cana-2475	196	1	the	the	DET
cana-2475	196	2	hidden	hidden	ADJ
cana-2475	196	3	state	state	NOUN
cana-2475	196	4	and	and	CCONJ
cana-2475	196	5	cell	cell	NOUN
cana-2475	196	6	state	state	NOUN
cana-2475	196	7	are	be	AUX
cana-2475	196	8	changed	change	VERB
cana-2475	196	9	with	with	ADP
cana-2475	196	10	the	the	DET
cana-2475	196	11	following	follow	VERB
cana-2475	196	12	equations	equation	NOUN
cana-2475	196	13	(	(	PUNCT
cana-2475	196	14	3	3	NUM
cana-2475	196	15	-	-	SYM
cana-2475	196	16	8)	8)	NUM
cana-2475	196	17	:	:	PUNCT
cana-2475	196	18	forget	forget	VERB
cana-2475	196	19	gate	gate	NOUN
cana-2475	196	20	:	:	PUNCT
cana-2475	196	21	𝑓𝑡	𝑓𝑡	PROPN
cana-2475	196	22	=	=	PUNCT
cana-2475	196	23	𝜎	𝜎	PROPN
cana-2475	196	24	(	(	PUNCT
cana-2475	196	25	𝑊𝑓	𝑊𝑓	PROPN
cana-2475	196	26	[	[	X
cana-2475	196	27	𝐻𝑡−1,𝑋𝑡	𝐻𝑡−1,𝑋𝑡	X
cana-2475	196	28	]	]	X
cana-2475	197	1	+	+	CCONJ
cana-2475	197	2	𝑏𝑓	𝑏𝑓	PROPN
cana-2475	197	3	)	)	PUNCT
cana-2475	197	4	(	(	PUNCT
cana-2475	197	5	3	3	X
cana-2475	197	6	)	)	PUNCT
cana-2475	197	7	communications	communication	NOUN
cana-2475	197	8	on	on	ADP
cana-2475	197	9	applied	apply	VERB
cana-2475	197	10	nonlinear	nonlinear	ADJ
cana-2475	197	11	analysis	analysis	NOUN
cana-2475	197	12	issn	issn	NOUN
cana-2475	197	13	:	:	PUNCT
cana-2475	197	14	1074	1074	NUM
cana-2475	197	15	-	-	PUNCT
cana-2475	197	16	133x	133x	NUM
cana-2475	197	17	vol	vol	NOUN
cana-2475	197	18	32	32	NUM
cana-2475	197	19	no	no	NOUN
cana-2475	197	20	.	.	PUNCT
cana-2475	198	1	2s	2s	NUM
cana-2475	198	2	(	(	PUNCT
cana-2475	198	3	2025	2025	NUM
cana-2475	198	4	)	)	PUNCT
cana-2475	198	5	475	475	NUM
cana-2475	198	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2475	198	7	input	input	NOUN
cana-2475	198	8	gate	gate	NOUN
cana-2475	198	9	:	:	PUNCT
cana-2475	198	10	𝑖𝑡	𝑖𝑡	NOUN
cana-2475	198	11	=	=	SYM
cana-2475	198	12	𝜎	𝜎	PROPN
cana-2475	198	13	(	(	PUNCT
cana-2475	198	14	𝑊𝑖	𝑊𝑖	PROPN
cana-2475	198	15	[	[	X
cana-2475	198	16	𝐻𝑡−1,𝑋𝑡	𝐻𝑡−1,𝑋𝑡	X
cana-2475	198	17	]	]	X
cana-2475	198	18	+	+	CCONJ
cana-2475	198	19	𝑏𝑖	𝑏𝑖	X
cana-2475	198	20	)	)	PUNCT
cana-2475	198	21	(	(	PUNCT
cana-2475	198	22	4	4	X
cana-2475	198	23	)	)	PUNCT
cana-2475	198	24	cell	cell	NOUN
cana-2475	198	25	state	state	NOUN
cana-2475	198	26	candidate	candidate	NOUN
cana-2475	198	27	:	:	PUNCT
cana-2475	198	28	c̃t	c̃t	NOUN
cana-2475	198	29	=	=	PUNCT
cana-2475	198	30	𝑡𝑎𝑛ℎ	𝑡𝑎𝑛ℎ	NOUN
cana-2475	198	31	(	(	PUNCT
cana-2475	198	32	𝑊𝑐	𝑊𝑐	PROPN
cana-2475	199	1	[	[	X
cana-2475	199	2	𝐻𝑡−1,𝑋𝑡	𝐻𝑡−1,𝑋𝑡	X
cana-2475	199	3	]	]	X
cana-2475	199	4	+	+	CCONJ
cana-2475	199	5	𝑏𝑐	𝑏𝑐	X
cana-2475	199	6	)	)	PUNCT
cana-2475	199	7	(	(	PUNCT
cana-2475	199	8	5	5	X
cana-2475	199	9	)	)	PUNCT
cana-2475	199	10	cell	cell	NOUN
cana-2475	199	11	state	state	NOUN
cana-2475	199	12	update	update	NOUN
cana-2475	199	13	:	:	PUNCT
cana-2475	199	14	𝑐𝑡	𝑐𝑡	ADP
cana-2475	199	15	=	=	SYM
cana-2475	199	16	𝑓𝑡	𝑓𝑡	PROPN
cana-2475	199	17	⊙	⊙	PROPN
cana-2475	199	18	𝑐𝑡−1	𝑐𝑡−1	PROPN
cana-2475	200	1	+	+	CCONJ
cana-2475	200	2	𝑖𝑡	𝑖𝑡	PROPN
cana-2475	200	3	⊙	⊙	PROPN
cana-2475	200	4	c̃t	c̃t	PROPN
cana-2475	200	5	(	(	PUNCT
cana-2475	200	6	6	6	NUM
cana-2475	200	7	)	)	PUNCT
cana-2475	200	8	hidden	hide	VERB
cana-2475	200	9	state	state	NOUN
cana-2475	200	10	:	:	PUNCT
cana-2475	200	11	ℎ𝑡	ℎ𝑡	NOUN
cana-2475	200	12	=	=	PUNCT
cana-2475	200	13	𝑜𝑡	𝑜𝑡	PROPN
cana-2475	200	14	⊙	⊙	PROPN
cana-2475	200	15	tanh	tanh	PROPN
cana-2475	200	16	(	(	PUNCT
cana-2475	200	17	𝑐𝑡	𝑐𝑡	ADP
cana-2475	200	18	)	)	PUNCT
cana-2475	200	19	(	(	PUNCT
cana-2475	200	20	7	7	X
cana-2475	200	21	)	)	PUNCT
cana-2475	200	22	output	output	NOUN
cana-2475	200	23	gate	gate	NOUN
cana-2475	200	24	:	:	PUNCT
cana-2475	200	25	𝑜𝑡	𝑜𝑡	PROPN
cana-2475	200	26	=	=	SYM
cana-2475	200	27	𝜎	𝜎	PROPN
cana-2475	200	28	(	(	PUNCT
cana-2475	200	29	𝑊𝑜	𝑊𝑜	PROPN
cana-2475	200	30	[	[	X
cana-2475	200	31	𝐻𝑡−1,𝑋𝑡	𝐻𝑡−1,𝑋𝑡	X
cana-2475	200	32	]	]	X
cana-2475	201	1	+	+	CCONJ
cana-2475	201	2	𝑏𝑜	𝑏𝑜	X
cana-2475	201	3	)	)	PUNCT
cana-2475	201	4	(	(	PUNCT
cana-2475	201	5	8)	8)	NUM
cana-2475	201	6	where	where	SCONJ
cana-2475	201	7	:	:	PUNCT
cana-2475	201	8	𝑓𝑡	𝑓𝑡	PROPN
cana-2475	201	9	is	be	AUX
cana-2475	201	10	the	the	DET
cana-2475	201	11	forget	forget	NOUN
cana-2475	201	12	gate	gate	NOUN
cana-2475	201	13	activation	activation	NOUN
cana-2475	201	14	.	.	PUNCT
cana-2475	202	1	𝑖𝑡	𝑖𝑡	PROPN
cana-2475	202	2	is	be	AUX
cana-2475	202	3	the	the	DET
cana-2475	202	4	input	input	NOUN
cana-2475	202	5	gate	gate	NOUN
cana-2475	202	6	activation	activation	NOUN
cana-2475	202	7	.	.	PUNCT
cana-2475	203	1	c̃t	c̃t	PROPN
cana-2475	203	2	is	be	AUX
cana-2475	203	3	the	the	DET
cana-2475	203	4	cell	cell	NOUN
cana-2475	203	5	state	state	NOUN
cana-2475	203	6	candidate	candidate	NOUN
cana-2475	203	7	.	.	PUNCT
cana-2475	204	1	𝑜𝑡	𝑜𝑡	PROPN
cana-2475	204	2	is	be	AUX
cana-2475	204	3	the	the	DET
cana-2475	204	4	output	output	NOUN
cana-2475	204	5	gate	gate	NOUN
cana-2475	204	6	activation	activation	NOUN
cana-2475	204	7	.	.	PUNCT
cana-2475	205	1	σ	σ	NOUN
cana-2475	205	2	is	be	AUX
cana-2475	205	3	the	the	DET
cana-2475	205	4	sigmoid	sigmoid	NOUN
cana-2475	205	5	function	function	NOUN
cana-2475	205	6	.	.	PUNCT
cana-2475	206	1	⊙	⊙	PROPN
cana-2475	206	2	denotes	denote	VERB
cana-2475	206	3	element	element	ADJ
cana-2475	206	4	-	-	PUNCT
cana-2475	206	5	wise	wise	ADJ
cana-2475	206	6	multiplication	multiplication	NOUN
cana-2475	206	7	.	.	PUNCT
cana-2475	207	1	since	since	SCONJ
cana-2475	207	2	lstms	lstms	NOUN
cana-2475	207	3	are	be	AUX
cana-2475	207	4	good	good	ADJ
cana-2475	207	5	at	at	ADP
cana-2475	207	6	capturing	capture	VERB
cana-2475	207	7	long	long	ADJ
cana-2475	207	8	-	-	PUNCT
cana-2475	207	9	term	term	NOUN
cana-2475	207	10	dependencies	dependency	NOUN
cana-2475	207	11	in	in	ADP
cana-2475	207	12	sequences	sequence	NOUN
cana-2475	207	13	,	,	PUNCT
cana-2475	207	14	they	they	PRON
cana-2475	207	15	are	be	AUX
cana-2475	207	16	a	a	DET
cana-2475	207	17	great	great	ADJ
cana-2475	207	18	choice	choice	NOUN
cana-2475	207	19	for	for	ADP
cana-2475	207	20	applications	application	NOUN
cana-2475	207	21	like	like	ADP
cana-2475	207	22	sensor	sensor	NOUN
cana-2475	207	23	reading	reading	NOUN
cana-2475	207	24	prediction	prediction	NOUN
cana-2475	207	25	,	,	PUNCT
cana-2475	207	26	where	where	SCONJ
cana-2475	207	27	prior	prior	ADJ
cana-2475	207	28	observations	observation	NOUN
cana-2475	207	29	are	be	AUX
cana-2475	207	30	used	use	VERB
cana-2475	207	31	to	to	PART
cana-2475	207	32	predict	predict	VERB
cana-2475	207	33	future	future	ADJ
cana-2475	207	34	readings	reading	NOUN
cana-2475	207	35	.	.	PUNCT
cana-2475	208	1	convolutional	convolutional	ADJ
cana-2475	208	2	neural	neural	ADJ
cana-2475	208	3	networks	network	NOUN
cana-2475	208	4	(	(	PUNCT
cana-2475	208	5	cnn	cnn	PROPN
cana-2475	208	6	):	):	PUNCT
cana-2475	208	7	in	in	ADP
cana-2475	208	8	wireless	wireless	ADJ
cana-2475	208	9	sensor	sensor	NOUN
cana-2475	208	10	networks	network	NOUN
cana-2475	208	11	(	(	PUNCT
cana-2475	208	12	wsns	wsns	NOUN
cana-2475	208	13	)	)	PUNCT
cana-2475	208	14	,	,	PUNCT
cana-2475	208	15	convolutional	convolutional	ADJ
cana-2475	208	16	neural	neural	ADJ
cana-2475	208	17	networks	network	NOUN
cana-2475	208	18	(	(	PUNCT
cana-2475	208	19	cnn	cnn	PROPN
cana-2475	208	20	)	)	PUNCT
cana-2475	208	21	play	play	VERB
cana-2475	208	22	a	a	DET
cana-2475	208	23	key	key	ADJ
cana-2475	208	24	role	role	NOUN
cana-2475	208	25	in	in	ADP
cana-2475	208	26	optimizing	optimize	VERB
cana-2475	208	27	data	datum	NOUN
cana-2475	208	28	aggregation	aggregation	NOUN
cana-2475	208	29	processes	process	NOUN
cana-2475	208	30	,	,	PUNCT
cana-2475	208	31	particularly	particularly	ADV
cana-2475	208	32	in	in	ADP
cana-2475	208	33	the	the	DET
cana-2475	208	34	context	context	NOUN
cana-2475	208	35	of	of	ADP
cana-2475	208	36	"	"	PUNCT
cana-2475	208	37	energyefficient	energyefficient	NOUN
cana-2475	208	38	data	data	NOUN
cana-2475	208	39	aggregation	aggregation	NOUN
cana-2475	208	40	in	in	ADP
cana-2475	208	41	wireless	wireless	ADJ
cana-2475	208	42	sensor	sensor	NOUN
cana-2475	208	43	networks	network	NOUN
cana-2475	208	44	using	use	VERB
cana-2475	208	45	neural	neural	ADJ
cana-2475	208	46	network	network	NOUN
cana-2475	208	47	-	-	PUNCT
cana-2475	208	48	based	base	VERB
cana-2475	208	49	prediction	prediction	NOUN
cana-2475	208	50	models	model	NOUN
cana-2475	208	51	.	.	PUNCT
cana-2475	208	52	"	"	PUNCT
cana-2475	209	1	cnns	cnn	NOUN
cana-2475	209	2	are	be	AUX
cana-2475	209	3	useful	useful	ADJ
cana-2475	209	4	for	for	ADP
cana-2475	209	5	processing	processing	NOUN
cana-2475	209	6	sensor	sensor	NOUN
cana-2475	209	7	data	datum	NOUN
cana-2475	209	8	collected	collect	VERB
cana-2475	209	9	in	in	ADP
cana-2475	209	10	a	a	DET
cana-2475	209	11	variety	variety	NOUN
cana-2475	209	12	of	of	ADP
cana-2475	209	13	situations	situation	NOUN
cana-2475	209	14	because	because	SCONJ
cana-2475	209	15	they	they	PRON
cana-2475	209	16	are	be	AUX
cana-2475	209	17	skilled	skilled	ADJ
cana-2475	209	18	at	at	ADP
cana-2475	209	19	identifying	identify	VERB
cana-2475	209	20	patterns	pattern	NOUN
cana-2475	209	21	in	in	ADP
cana-2475	209	22	spatial	spatial	ADJ
cana-2475	209	23	data	datum	NOUN
cana-2475	209	24	.	.	PUNCT
cana-2475	210	1	cnns	cnns	PROPN
cana-2475	210	2	can	can	AUX
cana-2475	210	3	improve	improve	VERB
cana-2475	210	4	prediction	prediction	NOUN
cana-2475	210	5	accuracy	accuracy	NOUN
cana-2475	210	6	by	by	ADP
cana-2475	210	7	examining	examine	VERB
cana-2475	210	8	these	these	DET
cana-2475	210	9	data	datum	NOUN
cana-2475	210	10	patterns	pattern	NOUN
cana-2475	210	11	,	,	PUNCT
cana-2475	210	12	which	which	PRON
cana-2475	210	13	helps	help	VERB
cana-2475	210	14	with	with	ADP
cana-2475	210	15	data	data	NOUN
cana-2475	210	16	transmission	transmission	NOUN
cana-2475	210	17	and	and	CCONJ
cana-2475	210	18	aggregation	aggregation	NOUN
cana-2475	210	19	strategy	strategy	NOUN
cana-2475	210	20	decision	decision	NOUN
cana-2475	210	21	-	-	PUNCT
cana-2475	210	22	making	making	NOUN
cana-2475	210	23	.	.	PUNCT
cana-2475	211	1	hence	hence	ADV
cana-2475	211	2	,	,	PUNCT
cana-2475	211	3	by	by	ADP
cana-2475	211	4	reducing	reduce	VERB
cana-2475	211	5	redundant	redundant	ADJ
cana-2475	211	6	transmissions	transmission	NOUN
cana-2475	211	7	and	and	CCONJ
cana-2475	211	8	enhancing	enhance	VERB
cana-2475	211	9	data	datum	NOUN
cana-2475	211	10	integrity	integrity	NOUN
cana-2475	211	11	and	and	CCONJ
cana-2475	211	12	network	network	NOUN
cana-2475	211	13	efficiency	efficiency	NOUN
cana-2475	211	14	,	,	PUNCT
cana-2475	211	15	cnns	cnns	PROPN
cana-2475	211	16	can	can	AUX
cana-2475	211	17	dramatically	dramatically	ADV
cana-2475	211	18	lower	lower	VERB
cana-2475	211	19	energy	energy	NOUN
cana-2475	211	20	usage	usage	NOUN
cana-2475	211	21	in	in	ADP
cana-2475	211	22	wsns	wsns	NOUN
cana-2475	211	23	.	.	PUNCT
cana-2475	212	1	convolutional	convolutional	ADJ
cana-2475	212	2	neural	neural	ADJ
cana-2475	212	3	networks	network	NOUN
cana-2475	212	4	can	can	AUX
cana-2475	212	5	be	be	AUX
cana-2475	212	6	modified	modify	VERB
cana-2475	212	7	to	to	PART
cana-2475	212	8	handle	handle	VERB
cana-2475	212	9	other	other	ADJ
cana-2475	212	10	forms	form	NOUN
cana-2475	212	11	of	of	ADP
cana-2475	212	12	data	datum	NOUN
cana-2475	212	13	and	and	CCONJ
cana-2475	212	14	are	be	AUX
cana-2475	212	15	especially	especially	ADV
cana-2475	212	16	useful	useful	ADJ
cana-2475	212	17	for	for	ADP
cana-2475	212	18	processing	process	VERB
cana-2475	212	19	grid	grid	NOUN
cana-2475	212	20	-	-	PUNCT
cana-2475	212	21	like	like	ADJ
cana-2475	212	22	data	datum	NOUN
cana-2475	212	23	,	,	PUNCT
cana-2475	212	24	such	such	ADJ
cana-2475	212	25	as	as	ADP
cana-2475	212	26	photographs	photograph	NOUN
cana-2475	212	27	.	.	PUNCT
cana-2475	213	1	in	in	ADP
cana-2475	213	2	a	a	DET
cana-2475	213	3	cnn	cnn	NOUN
cana-2475	213	4	,	,	PUNCT
cana-2475	213	5	the	the	DET
cana-2475	213	6	convolution	convolution	NOUN
cana-2475	213	7	operation	operation	NOUN
cana-2475	213	8	is	be	AUX
cana-2475	213	9	provided	provide	VERB
cana-2475	213	10	by	by	ADP
cana-2475	213	11	equation	equation	NOUN
cana-2475	213	12	(	(	PUNCT
cana-2475	213	13	9	9	NUM
cana-2475	213	14	):	):	PUNCT
cana-2475	213	15	𝑦𝑖,𝑗	𝑦𝑖,𝑗	X
cana-2475	213	16	=	=	SYM
cana-2475	213	17	(	(	PUNCT
cana-2475	213	18	𝑥	𝑥	NOUN
cana-2475	213	19	∗	∗	NOUN
cana-2475	213	20	𝑤)𝑖,𝑗	𝑤)𝑖,𝑗	NOUN
cana-2475	213	21	+	+	CCONJ
cana-2475	213	22	𝑏	𝑏	PROPN
cana-2475	213	23	(	(	PUNCT
cana-2475	213	24	9	9	NUM
cana-2475	213	25	)	)	PUNCT
cana-2475	213	26	where	where	SCONJ
cana-2475	213	27	:	:	PUNCT
cana-2475	213	28	𝑥	𝑥	PRON
cana-2475	213	29	is	be	AUX
cana-2475	213	30	the	the	DET
cana-2475	213	31	input	input	NOUN
cana-2475	213	32	𝑤	𝑤	ADP
cana-2475	213	33	is	be	AUX
cana-2475	213	34	the	the	DET
cana-2475	213	35	convolutional	convolutional	ADJ
cana-2475	213	36	kernel	kernel	NOUN
cana-2475	213	37	or	or	CCONJ
cana-2475	213	38	filter	filter	NOUN
cana-2475	213	39	∗	∗	NOUN
cana-2475	213	40	denotes	denote	VERB
cana-2475	214	1	the	the	DET
cana-2475	214	2	convolution	convolution	NOUN
cana-2475	214	3	operation	operation	NOUN
cana-2475	214	4	𝑏	𝑏	PROPN
cana-2475	214	5	is	be	AUX
cana-2475	214	6	the	the	DET
cana-2475	214	7	bias	bias	NOUN
cana-2475	214	8	term	term	NOUN
cana-2475	214	9	𝑦𝑖,𝑗	𝑦𝑖,𝑗	PUNCT
cana-2475	214	10	is	be	AUX
cana-2475	214	11	the	the	DET
cana-2475	214	12	output	output	NOUN
cana-2475	214	13	of	of	ADP
cana-2475	214	14	the	the	DET
cana-2475	214	15	convolution	convolution	NOUN
cana-2475	214	16	operation	operation	NOUN
cana-2475	214	17	.	.	PUNCT
cana-2475	215	1	cnns	cnns	PROPN
cana-2475	215	2	are	be	AUX
cana-2475	215	3	helpful	helpful	ADJ
cana-2475	215	4	for	for	ADP
cana-2475	215	5	aggregating	aggregate	VERB
cana-2475	215	6	spatial	spatial	ADJ
cana-2475	215	7	data	datum	NOUN
cana-2475	215	8	and	and	CCONJ
cana-2475	215	9	extracting	extract	VERB
cana-2475	215	10	features	feature	NOUN
cana-2475	215	11	.	.	PUNCT
cana-2475	216	1	cnns	cnns	PROPN
cana-2475	216	2	can	can	AUX
cana-2475	216	3	be	be	AUX
cana-2475	216	4	used	use	VERB
cana-2475	216	5	to	to	PART
cana-2475	216	6	examine	examine	VERB
cana-2475	216	7	spatial	spatial	ADJ
cana-2475	216	8	patterns	pattern	NOUN
cana-2475	216	9	in	in	ADP
cana-2475	216	10	data	datum	NOUN
cana-2475	216	11	from	from	ADP
cana-2475	216	12	various	various	ADJ
cana-2475	216	13	sensors	sensor	NOUN
cana-2475	216	14	in	in	ADP
cana-2475	216	15	wireless	wireless	ADJ
cana-2475	216	16	sensor	sensor	NOUN
cana-2475	216	17	networks	network	NOUN
cana-2475	216	18	in	in	ADP
cana-2475	216	19	order	order	NOUN
cana-2475	216	20	to	to	PART
cana-2475	216	21	increase	increase	VERB
cana-2475	216	22	prediction	prediction	NOUN
cana-2475	216	23	accuracy	accuracy	NOUN
cana-2475	216	24	.	.	PUNCT
cana-2475	217	1	communications	communication	NOUN
cana-2475	217	2	on	on	ADP
cana-2475	217	3	applied	apply	VERB
cana-2475	217	4	nonlinear	nonlinear	ADJ
cana-2475	217	5	analysis	analysis	NOUN
cana-2475	217	6	issn	issn	NOUN
cana-2475	217	7	:	:	PUNCT
cana-2475	217	8	1074	1074	NUM
cana-2475	217	9	-	-	PUNCT
cana-2475	217	10	133x	133x	NUM
cana-2475	217	11	vol	vol	NOUN
cana-2475	217	12	32	32	NUM
cana-2475	217	13	no	no	NOUN
cana-2475	217	14	.	.	PUNCT
cana-2475	218	1	2s	2s	NUM
cana-2475	218	2	(	(	PUNCT
cana-2475	218	3	2025	2025	NUM
cana-2475	218	4	)	)	PUNCT
cana-2475	218	5	476	476	NUM
cana-2475	218	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	218	7	neural	neural	ADJ
cana-2475	218	8	network	network	NOUN
cana-2475	218	9	models	model	NOUN
cana-2475	218	10	provide	provide	VERB
cana-2475	218	11	important	important	ADJ
cana-2475	218	12	advantages	advantage	NOUN
cana-2475	218	13	for	for	ADP
cana-2475	218	14	optimising	optimise	VERB
cana-2475	218	15	energy	energy	NOUN
cana-2475	218	16	efficiency	efficiency	NOUN
cana-2475	218	17	in	in	ADP
cana-2475	218	18	wireless	wireless	ADJ
cana-2475	218	19	sensor	sensor	NOUN
cana-2475	218	20	networks	network	NOUN
cana-2475	218	21	(	(	PUNCT
cana-2475	218	22	wsns	wsns	PROPN
cana-2475	218	23	)	)	PUNCT
cana-2475	218	24	.	.	PUNCT
cana-2475	219	1	feedforward	feedforward	ADJ
cana-2475	219	2	neural	neural	ADJ
cana-2475	219	3	networks	network	NOUN
cana-2475	219	4	(	(	PUNCT
cana-2475	219	5	fnns	fnn	NOUN
cana-2475	219	6	)	)	PUNCT
cana-2475	219	7	effectively	effectively	ADV
cana-2475	219	8	anticipate	anticipate	VERB
cana-2475	219	9	variables	variable	NOUN
cana-2475	219	10	such	such	ADJ
cana-2475	219	11	as	as	ADP
cana-2475	219	12	transmission	transmission	NOUN
cana-2475	219	13	power	power	NOUN
cana-2475	219	14	,	,	PUNCT
cana-2475	219	15	improving	improve	VERB
cana-2475	219	16	sensor	sensor	NOUN
cana-2475	219	17	node	node	NOUN
cana-2475	219	18	connectivity	connectivity	NOUN
cana-2475	219	19	while	while	SCONJ
cana-2475	219	20	consuming	consume	VERB
cana-2475	219	21	less	less	ADJ
cana-2475	219	22	energy	energy	NOUN
cana-2475	219	23	.	.	PUNCT
cana-2475	220	1	when	when	SCONJ
cana-2475	220	2	it	it	PRON
cana-2475	220	3	comes	come	VERB
cana-2475	220	4	to	to	ADP
cana-2475	220	5	processing	process	VERB
cana-2475	220	6	sequential	sequential	ADJ
cana-2475	220	7	data	datum	NOUN
cana-2475	220	8	,	,	PUNCT
cana-2475	220	9	recurrent	recurrent	ADJ
cana-2475	220	10	neural	neural	ADJ
cana-2475	220	11	networks	network	NOUN
cana-2475	220	12	(	(	PUNCT
cana-2475	220	13	rnns	rnns	PROPN
cana-2475	220	14	)	)	PUNCT
cana-2475	220	15	are	be	AUX
cana-2475	220	16	excellent	excellent	ADJ
cana-2475	220	17	.	.	PUNCT
cana-2475	221	1	they	they	PRON
cana-2475	221	2	reduce	reduce	VERB
cana-2475	221	3	the	the	DET
cana-2475	221	4	amount	amount	NOUN
cana-2475	221	5	of	of	ADP
cana-2475	221	6	superfluous	superfluous	ADJ
cana-2475	221	7	data	datum	NOUN
cana-2475	221	8	transmissions	transmission	NOUN
cana-2475	221	9	by	by	ADP
cana-2475	221	10	accurately	accurately	ADV
cana-2475	221	11	anticipating	anticipate	VERB
cana-2475	221	12	sensor	sensor	NOUN
cana-2475	221	13	results	result	NOUN
cana-2475	221	14	,	,	PUNCT
cana-2475	221	15	which	which	PRON
cana-2475	221	16	improves	improve	VERB
cana-2475	221	17	energy	energy	NOUN
cana-2475	221	18	efficiency	efficiency	NOUN
cana-2475	221	19	.	.	PUNCT
cana-2475	222	1	this	this	PRON
cana-2475	222	2	is	be	AUX
cana-2475	222	3	further	far	ADV
cana-2475	222	4	refined	refine	VERB
cana-2475	222	5	by	by	ADP
cana-2475	222	6	long	long	ADJ
cana-2475	222	7	short	short	ADJ
cana-2475	222	8	-	-	PUNCT
cana-2475	222	9	term	term	NOUN
cana-2475	222	10	memory	memory	NOUN
cana-2475	222	11	(	(	PUNCT
cana-2475	222	12	lstm	lstm	NOUN
cana-2475	222	13	)	)	PUNCT
cana-2475	222	14	networks	network	NOUN
cana-2475	222	15	,	,	PUNCT
cana-2475	222	16	a	a	DET
cana-2475	222	17	form	form	NOUN
cana-2475	222	18	of	of	ADP
cana-2475	222	19	rnn	rnn	PROPN
cana-2475	222	20	,	,	PUNCT
cana-2475	222	21	which	which	PRON
cana-2475	222	22	extends	extend	VERB
cana-2475	222	23	network	network	NOUN
cana-2475	222	24	lifetimes	lifetime	NOUN
cana-2475	222	25	and	and	CCONJ
cana-2475	222	26	improves	improve	VERB
cana-2475	222	27	forecast	forecast	NOUN
cana-2475	222	28	accuracy	accuracy	NOUN
cana-2475	222	29	by	by	ADP
cana-2475	222	30	capturing	capture	VERB
cana-2475	222	31	longrange	longrange	NOUN
cana-2475	222	32	dependencies	dependency	NOUN
cana-2475	222	33	.	.	PUNCT
cana-2475	223	1	convolutional	convolutional	ADJ
cana-2475	223	2	neural	neural	ADJ
cana-2475	223	3	networks	network	NOUN
cana-2475	223	4	(	(	PUNCT
cana-2475	223	5	cnns	cnns	PROPN
cana-2475	223	6	)	)	PUNCT
cana-2475	223	7	are	be	AUX
cana-2475	223	8	able	able	ADJ
cana-2475	223	9	to	to	PART
cana-2475	223	10	reduce	reduce	VERB
cana-2475	223	11	redundant	redundant	ADJ
cana-2475	223	12	transmissions	transmission	NOUN
cana-2475	223	13	,	,	PUNCT
cana-2475	223	14	improve	improve	VERB
cana-2475	223	15	data	data	NOUN
cana-2475	223	16	aggregation	aggregation	NOUN
cana-2475	223	17	,	,	PUNCT
cana-2475	223	18	and	and	CCONJ
cana-2475	223	19	recognise	recognise	VERB
cana-2475	223	20	spatial	spatial	ADJ
cana-2475	223	21	patterns	pattern	NOUN
cana-2475	223	22	in	in	ADP
cana-2475	223	23	sensor	sensor	NOUN
cana-2475	223	24	data	datum	NOUN
cana-2475	223	25	.	.	PUNCT
cana-2475	224	1	by	by	ADP
cana-2475	224	2	utilising	utilise	VERB
cana-2475	224	3	its	its	PRON
cana-2475	224	4	distinct	distinct	ADJ
cana-2475	224	5	strengths	strength	NOUN
cana-2475	224	6	in	in	ADP
cana-2475	224	7	pattern	pattern	NOUN
cana-2475	224	8	detection	detection	NOUN
cana-2475	224	9	and	and	CCONJ
cana-2475	224	10	prediction	prediction	NOUN
cana-2475	224	11	,	,	PUNCT
cana-2475	224	12	each	each	DET
cana-2475	224	13	model	model	NOUN
cana-2475	224	14	adds	add	VERB
cana-2475	224	15	to	to	PART
cana-2475	224	16	longer	long	ADJ
cana-2475	224	17	network	network	NOUN
cana-2475	224	18	lifespans	lifespan	NOUN
cana-2475	224	19	and	and	CCONJ
cana-2475	224	20	more	more	ADV
cana-2475	224	21	effective	effective	ADJ
cana-2475	224	22	data	data	NOUN
cana-2475	224	23	transfer	transfer	NOUN
cana-2475	224	24	.	.	PUNCT
cana-2475	225	1	v.	v.	ADP
cana-2475	225	2	results	result	NOUN
cana-2475	225	3	and	and	CCONJ
cana-2475	225	4	discussions	discussion	NOUN
cana-2475	225	5	the	the	DET
cana-2475	225	6	energy	energy	NOUN
cana-2475	225	7	consumption	consumption	NOUN
cana-2475	225	8	of	of	ADP
cana-2475	225	9	different	different	ADJ
cana-2475	225	10	data	data	NOUN
cana-2475	225	11	aggregation	aggregation	NOUN
cana-2475	225	12	strategies	strategy	NOUN
cana-2475	225	13	in	in	ADP
cana-2475	225	14	wireless	wireless	ADJ
cana-2475	225	15	sensor	sensor	NOUN
cana-2475	225	16	networks	network	NOUN
cana-2475	225	17	(	(	PUNCT
cana-2475	225	18	wsns	wsns	NOUN
cana-2475	225	19	)	)	PUNCT
cana-2475	225	20	is	be	AUX
cana-2475	225	21	presented	present	VERB
cana-2475	225	22	in	in	ADP
cana-2475	225	23	table	table	NOUN
cana-2475	225	24	1	1	NUM
cana-2475	225	25	.	.	PUNCT
cana-2475	225	26	neural	neural	ADJ
cana-2475	225	27	network	network	NOUN
cana-2475	225	28	-	-	PUNCT
cana-2475	225	29	based	base	VERB
cana-2475	225	30	aggregation	aggregation	NOUN
cana-2475	225	31	dramatically	dramatically	ADV
cana-2475	225	32	lowers	lower	VERB
cana-2475	225	33	this	this	DET
cana-2475	225	34	energy	energy	NOUN
cana-2475	225	35	consumption	consumption	NOUN
cana-2475	225	36	to	to	ADP
cana-2475	225	37	80	80	NUM
cana-2475	225	38	mj	mj	NOUN
cana-2475	225	39	,	,	PUNCT
cana-2475	225	40	whereas	whereas	SCONJ
cana-2475	225	41	traditional	traditional	ADJ
cana-2475	225	42	data	data	NOUN
cana-2475	225	43	aggregation	aggregation	NOUN
cana-2475	225	44	uses	use	VERB
cana-2475	225	45	the	the	DET
cana-2475	225	46	maximum	maximum	ADJ
cana-2475	225	47	energy	energy	NOUN
cana-2475	225	48	at	at	ADP
cana-2475	225	49	120	120	NUM
cana-2475	225	50	mj	mj	NOUN
cana-2475	225	51	.	.	PUNCT
cana-2475	225	52	aggregation	aggregation	NOUN
cana-2475	225	53	based	base	VERB
cana-2475	225	54	on	on	ADP
cana-2475	225	55	particle	particle	NOUN
cana-2475	225	56	swarm	swarm	NOUN
cana-2475	225	57	optimisation	optimisation	NOUN
cana-2475	225	58	(	(	PUNCT
cana-2475	225	59	pso	pso	NOUN
cana-2475	225	60	)	)	PUNCT
cana-2475	225	61	provides	provide	VERB
cana-2475	225	62	a	a	DET
cana-2475	225	63	moderate	moderate	ADJ
cana-2475	225	64	energy	energy	NOUN
cana-2475	225	65	reduction	reduction	NOUN
cana-2475	225	66	of	of	ADP
cana-2475	225	67	95	95	NUM
cana-2475	225	68	mj	mj	NOUN
cana-2475	225	69	,	,	PUNCT
cana-2475	225	70	while	while	SCONJ
cana-2475	225	71	aggregation	aggregation	NOUN
cana-2475	225	72	based	base	VERB
cana-2475	225	73	on	on	ADP
cana-2475	225	74	ant	ant	ADJ
cana-2475	225	75	colony	colony	NOUN
cana-2475	225	76	optimisation	optimisation	NOUN
cana-2475	225	77	(	(	PUNCT
cana-2475	225	78	aco	aco	PROPN
cana-2475	225	79	)	)	PUNCT
cana-2475	225	80	further	far	ADV
cana-2475	225	81	reduces	reduce	VERB
cana-2475	225	82	energy	energy	NOUN
cana-2475	225	83	consumption	consumption	NOUN
cana-2475	225	84	to	to	ADP
cana-2475	225	85	90	90	NUM
cana-2475	225	86	mj	mj	NOUN
cana-2475	225	87	.	.	PUNCT
cana-2475	226	1	these	these	DET
cana-2475	226	2	findings	finding	NOUN
cana-2475	226	3	show	show	VERB
cana-2475	226	4	how	how	SCONJ
cana-2475	226	5	neural	neural	ADJ
cana-2475	226	6	network	network	NOUN
cana-2475	226	7	-	-	PUNCT
cana-2475	226	8	based	base	VERB
cana-2475	226	9	prediction	prediction	NOUN
cana-2475	226	10	models	model	NOUN
cana-2475	226	11	and	and	CCONJ
cana-2475	226	12	optimisation	optimisation	NOUN
cana-2475	226	13	strategies	strategy	NOUN
cana-2475	226	14	might	might	AUX
cana-2475	226	15	improve	improve	VERB
cana-2475	226	16	wsn	wsn	PROPN
cana-2475	226	17	energy	energy	NOUN
cana-2475	226	18	efficiency	efficiency	NOUN
cana-2475	226	19	.	.	PUNCT
cana-2475	227	1	the	the	DET
cana-2475	227	2	comparative	comparative	ADJ
cana-2475	227	3	energy	energy	NOUN
cana-2475	227	4	consumption	consumption	NOUN
cana-2475	227	5	of	of	ADP
cana-2475	227	6	several	several	ADJ
cana-2475	227	7	data	datum	NOUN
cana-2475	227	8	aggregation	aggregation	NOUN
cana-2475	227	9	models	model	NOUN
cana-2475	227	10	in	in	ADP
cana-2475	227	11	wireless	wireless	ADJ
cana-2475	227	12	sensor	sensor	NOUN
cana-2475	227	13	networks	network	NOUN
cana-2475	227	14	(	(	PUNCT
cana-2475	227	15	wsns	wsns	NOUN
cana-2475	227	16	)	)	PUNCT
cana-2475	227	17	is	be	AUX
cana-2475	227	18	also	also	ADV
cana-2475	227	19	shown	show	VERB
cana-2475	227	20	in	in	ADP
cana-2475	227	21	fig	fig	NOUN
cana-2475	227	22	1	1	NUM
cana-2475	227	23	.	.	PUNCT
cana-2475	228	1	at	at	ADP
cana-2475	228	2	120	120	NUM
cana-2475	228	3	mj	mj	NOUN
cana-2475	228	4	,	,	PUNCT
cana-2475	228	5	the	the	DET
cana-2475	228	6	conventional	conventional	ADJ
cana-2475	228	7	data	data	NOUN
cana-2475	228	8	aggregation	aggregation	NOUN
cana-2475	228	9	method	method	NOUN
cana-2475	228	10	uses	use	VERB
cana-2475	228	11	the	the	DET
cana-2475	228	12	most	most	ADJ
cana-2475	228	13	energy	energy	NOUN
cana-2475	228	14	.	.	PUNCT
cana-2475	229	1	aggregation	aggregation	NOUN
cana-2475	229	2	using	use	VERB
cana-2475	229	3	neural	neural	ADJ
cana-2475	229	4	networks	network	NOUN
cana-2475	229	5	dramatically	dramatically	ADV
cana-2475	229	6	lowers	lower	VERB
cana-2475	229	7	energy	energy	NOUN
cana-2475	229	8	consumption	consumption	NOUN
cana-2475	229	9	to	to	ADP
cana-2475	229	10	80	80	NUM
cana-2475	229	11	mj	mj	NOUN
cana-2475	229	12	.	.	PUNCT
cana-2475	229	13	aggregation	aggregation	NOUN
cana-2475	229	14	based	base	VERB
cana-2475	229	15	on	on	ADP
cana-2475	229	16	particle	particle	NOUN
cana-2475	229	17	swarm	swarm	NOUN
cana-2475	229	18	optimisation	optimisation	NOUN
cana-2475	229	19	(	(	PUNCT
cana-2475	229	20	pso	pso	NOUN
cana-2475	229	21	)	)	PUNCT
cana-2475	229	22	uses	use	VERB
cana-2475	229	23	95	95	NUM
cana-2475	229	24	mj	mj	NOUN
cana-2475	229	25	,	,	PUNCT
cana-2475	229	26	whereas	whereas	SCONJ
cana-2475	229	27	aggregation	aggregation	NOUN
cana-2475	229	28	based	base	VERB
cana-2475	229	29	on	on	ADP
cana-2475	229	30	ant	ant	ADJ
cana-2475	229	31	colony	colony	NOUN
cana-2475	229	32	optimisation	optimisation	NOUN
cana-2475	229	33	(	(	PUNCT
cana-2475	229	34	aco	aco	PROPN
cana-2475	229	35	)	)	PUNCT
cana-2475	229	36	uses	use	VERB
cana-2475	229	37	90	90	NUM
cana-2475	229	38	mj	mj	NOUN
cana-2475	229	39	.	.	PUNCT
cana-2475	230	1	the	the	DET
cana-2475	230	2	bar	bar	NOUN
cana-2475	230	3	graph	graph	NOUN
cana-2475	230	4	emphasises	emphasise	VERB
cana-2475	230	5	the	the	DET
cana-2475	230	6	neural	neural	ADJ
cana-2475	230	7	network	network	NOUN
cana-2475	230	8	and	and	CCONJ
cana-2475	230	9	optimization	optimization	NOUN
cana-2475	230	10	-	-	PUNCT
cana-2475	230	11	based	base	VERB
cana-2475	230	12	approaches	approach	NOUN
cana-2475	230	13	'	'	PART
cana-2475	230	14	potential	potential	NOUN
cana-2475	230	15	for	for	ADP
cana-2475	230	16	energy	energy	NOUN
cana-2475	230	17	savings	saving	NOUN
cana-2475	230	18	,	,	PUNCT
cana-2475	230	19	highlighting	highlight	VERB
cana-2475	230	20	their	their	PRON
cana-2475	230	21	efficacy	efficacy	NOUN
cana-2475	230	22	in	in	ADP
cana-2475	230	23	raising	raise	VERB
cana-2475	230	24	wsns	wsns	NOUN
cana-2475	230	25	'	'	PART
cana-2475	230	26	energy	energy	NOUN
cana-2475	230	27	efficiency	efficiency	NOUN
cana-2475	230	28	.	.	PUNCT
cana-2475	231	1	table	table	NOUN
cana-2475	231	2	1	1	NUM
cana-2475	231	3	:	:	PUNCT
cana-2475	231	4	energy	energy	NOUN
cana-2475	231	5	consumption	consumption	NOUN
cana-2475	231	6	comparison	comparison	NOUN
cana-2475	231	7	for	for	ADP
cana-2475	231	8	different	different	ADJ
cana-2475	231	9	data	data	NOUN
cana-2475	231	10	aggregation	aggregation	NOUN
cana-2475	231	11	techniques	technique	NOUN
cana-2475	231	12	model	model	NOUN
cana-2475	231	13	/	/	SYM
cana-2475	231	14	technique	technique	NOUN
cana-2475	231	15	energy	energy	NOUN
cana-2475	231	16	consumption	consumption	NOUN
cana-2475	231	17	(	(	PUNCT
cana-2475	231	18	mj	mj	NOUN
cana-2475	231	19	)	)	PUNCT
cana-2475	231	20	traditional	traditional	ADJ
cana-2475	231	21	data	datum	NOUN
cana-2475	231	22	aggregation	aggregation	NOUN
cana-2475	231	23	120	120	NUM
cana-2475	231	24	neural	neural	ADJ
cana-2475	231	25	network	network	NOUN
cana-2475	231	26	-	-	PUNCT
cana-2475	231	27	based	base	VERB
cana-2475	231	28	aggregation	aggregation	NOUN
cana-2475	231	29	80	80	NUM
cana-2475	231	30	pso	pso	NOUN
cana-2475	231	31	-	-	PUNCT
cana-2475	231	32	based	base	VERB
cana-2475	231	33	aggregation	aggregation	NOUN
cana-2475	231	34	95	95	NUM
cana-2475	231	35	aco	aco	PROPN
cana-2475	231	36	-	-	PUNCT
cana-2475	231	37	based	base	VERB
cana-2475	231	38	aggregation	aggregation	NOUN
cana-2475	231	39	90	90	NUM
cana-2475	231	40	communications	communication	NOUN
cana-2475	231	41	on	on	ADP
cana-2475	231	42	applied	apply	VERB
cana-2475	231	43	nonlinear	nonlinear	ADJ
cana-2475	231	44	analysis	analysis	NOUN
cana-2475	231	45	issn	issn	NOUN
cana-2475	231	46	:	:	PUNCT
cana-2475	231	47	1074	1074	NUM
cana-2475	231	48	-	-	PUNCT
cana-2475	231	49	133x	133x	NUM
cana-2475	231	50	vol	vol	NOUN
cana-2475	231	51	32	32	NUM
cana-2475	231	52	no	no	NOUN
cana-2475	231	53	.	.	PUNCT
cana-2475	232	1	2s	2s	NUM
cana-2475	232	2	(	(	PUNCT
cana-2475	232	3	2025	2025	NUM
cana-2475	232	4	)	)	PUNCT
cana-2475	232	5	477	477	NUM
cana-2475	232	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	232	7	fig	fig	NOUN
cana-2475	232	8	.	.	PUNCT
cana-2475	233	1	1	1	NUM
cana-2475	233	2	:	:	PUNCT
cana-2475	233	3	energy	energy	NOUN
cana-2475	233	4	consumption	consumption	NOUN
cana-2475	233	5	comparison	comparison	NOUN
cana-2475	233	6	for	for	ADP
cana-2475	233	7	different	different	ADJ
cana-2475	233	8	data	data	NOUN
cana-2475	233	9	aggregation	aggregation	NOUN
cana-2475	233	10	techniques	technique	NOUN
cana-2475	233	11	figure	figure	VERB
cana-2475	233	12	2	2	NUM
cana-2475	233	13	illustrates	illustrate	VERB
cana-2475	233	14	how	how	SCONJ
cana-2475	233	15	different	different	ADJ
cana-2475	233	16	prediction	prediction	NOUN
cana-2475	233	17	models	model	NOUN
cana-2475	233	18	and	and	CCONJ
cana-2475	233	19	optimisations	optimisation	NOUN
cana-2475	233	20	affect	affect	VERB
cana-2475	233	21	wireless	wireless	ADJ
cana-2475	233	22	sensor	sensor	NOUN
cana-2475	233	23	network	network	NOUN
cana-2475	233	24	(	(	PUNCT
cana-2475	233	25	wsn	wsn	PROPN
cana-2475	233	26	)	)	PUNCT
cana-2475	233	27	network	network	NOUN
cana-2475	233	28	lifetime	lifetime	NOUN
cana-2475	233	29	.	.	PUNCT
cana-2475	234	1	the	the	DET
cana-2475	234	2	network	network	NOUN
cana-2475	234	3	lifetime	lifetime	NOUN
cana-2475	234	4	in	in	ADP
cana-2475	234	5	the	the	DET
cana-2475	234	6	absence	absence	NOUN
cana-2475	234	7	of	of	ADP
cana-2475	234	8	a	a	DET
cana-2475	234	9	prediction	prediction	NOUN
cana-2475	234	10	model	model	NOUN
cana-2475	234	11	is	be	AUX
cana-2475	234	12	250	250	NUM
cana-2475	234	13	days	day	NOUN
cana-2475	234	14	.	.	PUNCT
cana-2475	235	1	the	the	DET
cana-2475	235	2	network	network	NOUN
cana-2475	235	3	lifetime	lifetime	NOUN
cana-2475	235	4	is	be	AUX
cana-2475	235	5	increased	increase	VERB
cana-2475	235	6	to	to	ADP
cana-2475	235	7	400	400	NUM
cana-2475	235	8	days	day	NOUN
cana-2475	235	9	by	by	ADP
cana-2475	235	10	putting	put	VERB
cana-2475	235	11	a	a	DET
cana-2475	235	12	prediction	prediction	NOUN
cana-2475	235	13	model	model	NOUN
cana-2475	235	14	based	base	VERB
cana-2475	235	15	on	on	ADP
cana-2475	235	16	neural	neural	ADJ
cana-2475	235	17	networks	network	NOUN
cana-2475	235	18	into	into	ADP
cana-2475	235	19	practice	practice	NOUN
cana-2475	235	20	.	.	PUNCT
cana-2475	236	1	by	by	ADP
cana-2475	236	2	combining	combine	VERB
cana-2475	236	3	optimisation	optimisation	NOUN
cana-2475	236	4	with	with	ADP
cana-2475	236	5	the	the	DET
cana-2475	236	6	hybrid	hybrid	ADJ
cana-2475	236	7	prediction	prediction	NOUN
cana-2475	236	8	model	model	NOUN
cana-2475	236	9	,	,	PUNCT
cana-2475	236	10	the	the	DET
cana-2475	236	11	network	network	NOUN
cana-2475	236	12	lifespan	lifespan	NOUN
cana-2475	236	13	is	be	AUX
cana-2475	236	14	further	far	ADV
cana-2475	236	15	extended	extend	VERB
cana-2475	236	16	to	to	ADP
cana-2475	236	17	450	450	NUM
cana-2475	236	18	days	day	NOUN
cana-2475	236	19	.	.	PUNCT
cana-2475	237	1	positive	positive	ADJ
cana-2475	237	2	contributions	contribution	NOUN
cana-2475	237	3	also	also	ADV
cana-2475	237	4	come	come	VERB
cana-2475	237	5	from	from	ADP
cana-2475	237	6	securityenhanced	securityenhanced	ADJ
cana-2475	237	7	aggregation	aggregation	NOUN
cana-2475	237	8	,	,	PUNCT
cana-2475	237	9	which	which	PRON
cana-2475	237	10	makes	make	VERB
cana-2475	237	11	the	the	DET
cana-2475	237	12	network	network	NOUN
cana-2475	237	13	lifetime	lifetime	NOUN
cana-2475	237	14	reach	reach	VERB
cana-2475	237	15	380	380	NUM
cana-2475	237	16	days	day	NOUN
cana-2475	237	17	.	.	PUNCT
cana-2475	238	1	the	the	DET
cana-2475	238	2	bar	bar	NOUN
cana-2475	238	3	graph	graph	NOUN
cana-2475	238	4	illustrates	illustrate	VERB
cana-2475	238	5	how	how	SCONJ
cana-2475	238	6	prediction	prediction	NOUN
cana-2475	238	7	and	and	CCONJ
cana-2475	238	8	optimisation	optimisation	NOUN
cana-2475	238	9	strategies	strategy	NOUN
cana-2475	238	10	can	can	AUX
cana-2475	238	11	significantly	significantly	ADV
cana-2475	238	12	extend	extend	VERB
cana-2475	238	13	the	the	DET
cana-2475	238	14	life	life	NOUN
cana-2475	238	15	of	of	ADP
cana-2475	238	16	wireless	wireless	ADJ
cana-2475	238	17	sensor	sensor	NOUN
cana-2475	238	18	networks	network	NOUN
cana-2475	238	19	.	.	PUNCT
cana-2475	239	1	fig	fig	NOUN
cana-2475	239	2	.	.	PUNCT
cana-2475	240	1	2	2	NUM
cana-2475	240	2	:	:	PUNCT
cana-2475	240	3	network	network	NOUN
cana-2475	240	4	lifetime	lifetime	NOUN
cana-2475	240	5	for	for	ADP
cana-2475	240	6	different	different	ADJ
cana-2475	240	7	techniques	technique	NOUN
cana-2475	240	8	the	the	DET
cana-2475	240	9	average	average	ADJ
cana-2475	240	10	number	number	NOUN
cana-2475	240	11	of	of	ADP
cana-2475	240	12	data	datum	NOUN
cana-2475	240	13	transmissions	transmission	NOUN
cana-2475	240	14	per	per	ADP
cana-2475	240	15	hour	hour	NOUN
cana-2475	240	16	for	for	ADP
cana-2475	240	17	each	each	PRON
cana-2475	240	18	of	of	ADP
cana-2475	240	19	the	the	DET
cana-2475	240	20	several	several	ADJ
cana-2475	240	21	aggregation	aggregation	NOUN
cana-2475	240	22	procedures	procedure	NOUN
cana-2475	240	23	in	in	ADP
cana-2475	240	24	figure	figure	NOUN
cana-2475	240	25	3	3	NUM
cana-2475	240	26	is	be	AUX
cana-2475	240	27	shown	show	VERB
cana-2475	240	28	by	by	ADP
cana-2475	240	29	this	this	DET
cana-2475	240	30	line	line	NOUN
cana-2475	240	31	chart	chart	NOUN
cana-2475	240	32	.	.	PUNCT
cana-2475	241	1	the	the	DET
cana-2475	241	2	graph	graph	NOUN
cana-2475	241	3	indicates	indicate	VERB
cana-2475	241	4	that	that	SCONJ
cana-2475	241	5	500	500	NUM
cana-2475	241	6	data	datum	NOUN
cana-2475	241	7	transmissions	transmission	NOUN
cana-2475	241	8	per	per	ADP
cana-2475	241	9	hour	hour	NOUN
cana-2475	241	10	are	be	AUX
cana-2475	241	11	the	the	DET
cana-2475	241	12	most	most	ADV
cana-2475	241	13	frequent	frequent	ADJ
cana-2475	241	14	outcome	outcome	NOUN
cana-2475	241	15	of	of	ADP
cana-2475	241	16	classical	classical	ADJ
cana-2475	241	17	aggregation	aggregation	NOUN
cana-2475	241	18	techniques	technique	NOUN
cana-2475	241	19	.	.	PUNCT
cana-2475	242	1	on	on	ADP
cana-2475	242	2	the	the	DET
cana-2475	242	3	other	other	ADJ
cana-2475	242	4	hand	hand	NOUN
cana-2475	242	5	,	,	PUNCT
cana-2475	242	6	this	this	DET
cana-2475	242	7	number	number	NOUN
cana-2475	242	8	is	be	AUX
cana-2475	242	9	reduced	reduce	VERB
cana-2475	242	10	to	to	ADP
cana-2475	242	11	350	350	NUM
cana-2475	242	12	via	via	ADP
cana-2475	242	13	neural	neural	ADJ
cana-2475	242	14	network	network	NOUN
cana-2475	242	15	-	-	PUNCT
cana-2475	242	16	based	base	VERB
cana-2475	242	17	prediction	prediction	NOUN
cana-2475	242	18	,	,	PUNCT
cana-2475	242	19	and	and	CCONJ
cana-2475	242	20	to	to	ADP
cana-2475	242	21	300	300	NUM
cana-2475	242	22	by	by	ADP
cana-2475	242	23	optimisation	optimisation	NOUN
cana-2475	242	24	methods	method	NOUN
cana-2475	242	25	.	.	PUNCT
cana-2475	243	1	the	the	DET
cana-2475	243	2	hybrid	hybrid	NOUN
cana-2475	243	3	method	method	NOUN
cana-2475	243	4	,	,	PUNCT
cana-2475	243	5	which	which	PRON
cana-2475	243	6	combines	combine	VERB
cana-2475	243	7	optimisation	optimisation	NOUN
cana-2475	243	8	algorithms	algorithm	NOUN
cana-2475	243	9	and	and	CCONJ
cana-2475	243	10	neural	neural	ADJ
cana-2475	243	11	networks	network	NOUN
cana-2475	243	12	,	,	PUNCT
cana-2475	243	13	produces	produce	VERB
cana-2475	243	14	the	the	DET
cana-2475	243	15	lowest	low	ADJ
cana-2475	243	16	transmission	transmission	NOUN
cana-2475	243	17	rate—250	rate—250	VERB
cana-2475	243	18	per	per	ADP
cana-2475	243	19	hour	hour	NOUN
cana-2475	243	20	.	.	PUNCT
cana-2475	244	1	this	this	PRON
cana-2475	244	2	indicates	indicate	VERB
cana-2475	244	3	that	that	SCONJ
cana-2475	244	4	the	the	DET
cana-2475	244	5	system	system	NOUN
cana-2475	244	6	's	's	PART
cana-2475	244	7	data	data	NOUN
cana-2475	244	8	transmission	transmission	NOUN
cana-2475	244	9	efficiency	efficiency	NOUN
cana-2475	244	10	is	be	AUX
cana-2475	244	11	greatly	greatly	ADV
cana-2475	244	12	increased	increase	VERB
cana-2475	244	13	by	by	ADP
cana-2475	244	14	incorporating	incorporate	VERB
cana-2475	244	15	cutting	cutting	NOUN
cana-2475	244	16	-	-	PUNCT
cana-2475	244	17	edge	edge	NOUN
cana-2475	244	18	approaches	approach	NOUN
cana-2475	244	19	.	.	PUNCT
cana-2475	245	1	communications	communication	NOUN
cana-2475	245	2	on	on	ADP
cana-2475	245	3	applied	apply	VERB
cana-2475	245	4	nonlinear	nonlinear	ADJ
cana-2475	245	5	analysis	analysis	NOUN
cana-2475	245	6	issn	issn	NOUN
cana-2475	245	7	:	:	PUNCT
cana-2475	245	8	1074	1074	NUM
cana-2475	245	9	-	-	PUNCT
cana-2475	245	10	133x	133x	NUM
cana-2475	245	11	vol	vol	NOUN
cana-2475	245	12	32	32	NUM
cana-2475	245	13	no	no	NOUN
cana-2475	245	14	.	.	PUNCT
cana-2475	246	1	2s	2s	NUM
cana-2475	246	2	(	(	PUNCT
cana-2475	246	3	2025	2025	NUM
cana-2475	246	4	)	)	PUNCT
cana-2475	246	5	478	478	NUM
cana-2475	246	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	246	7	fig	fig	NOUN
cana-2475	246	8	.	.	PUNCT
cana-2475	247	1	3	3	NUM
cana-2475	247	2	:	:	PUNCT
cana-2475	247	3	average	average	ADJ
cana-2475	247	4	data	datum	NOUN
cana-2475	247	5	transmissions	transmission	NOUN
cana-2475	247	6	per	per	ADP
cana-2475	247	7	hour	hour	NOUN
cana-2475	247	8	by	by	ADP
cana-2475	247	9	aggregation	aggregation	NOUN
cana-2475	247	10	technique	technique	NOUN
cana-2475	247	11	the	the	DET
cana-2475	247	12	prediction	prediction	NOUN
cana-2475	247	13	accuracy	accuracy	NOUN
cana-2475	247	14	of	of	ADP
cana-2475	247	15	various	various	ADJ
cana-2475	247	16	neural	neural	ADJ
cana-2475	247	17	network	network	NOUN
cana-2475	247	18	models	model	NOUN
cana-2475	247	19	that	that	PRON
cana-2475	247	20	were	be	AUX
cana-2475	247	21	assessed	assess	VERB
cana-2475	247	22	based	base	VERB
cana-2475	247	23	on	on	ADP
cana-2475	247	24	how	how	SCONJ
cana-2475	247	25	well	well	ADV
cana-2475	247	26	they	they	PRON
cana-2475	247	27	performed	perform	VERB
cana-2475	247	28	in	in	ADP
cana-2475	247	29	a	a	DET
cana-2475	247	30	predictive	predictive	ADJ
cana-2475	247	31	test	test	NOUN
cana-2475	247	32	is	be	AUX
cana-2475	247	33	shown	show	VERB
cana-2475	247	34	in	in	ADP
cana-2475	247	35	figures	figure	NOUN
cana-2475	247	36	4	4	NUM
cana-2475	247	37	and	and	CCONJ
cana-2475	247	38	2	2	NUM
cana-2475	247	39	.	.	NOUN
cana-2475	247	40	neural	neural	ADJ
cana-2475	247	41	networks	network	NOUN
cana-2475	247	42	integrated	integrate	VERB
cana-2475	247	43	with	with	ADP
cana-2475	247	44	ant	ant	ADJ
cana-2475	247	45	colony	colony	NOUN
cana-2475	247	46	optimisation	optimisation	NOUN
cana-2475	247	47	(	(	PUNCT
cana-2475	247	48	aco	aco	PROPN
cana-2475	247	49	)	)	PUNCT
cana-2475	247	50	,	,	PUNCT
cana-2475	247	51	particle	particle	NOUN
cana-2475	247	52	swarm	swarm	NOUN
cana-2475	247	53	optimisation	optimisation	NOUN
cana-2475	247	54	(	(	PUNCT
cana-2475	247	55	pso	pso	NOUN
cana-2475	247	56	)	)	PUNCT
cana-2475	247	57	,	,	PUNCT
cana-2475	247	58	simple	simple	ADJ
cana-2475	247	59	neural	neural	ADJ
cana-2475	247	60	network	network	NOUN
cana-2475	247	61	,	,	PUNCT
cana-2475	247	62	and	and	CCONJ
cana-2475	247	63	deep	deep	ADJ
cana-2475	247	64	neural	neural	ADJ
cana-2475	247	65	network	network	NOUN
cana-2475	247	66	are	be	AUX
cana-2475	247	67	among	among	ADP
cana-2475	247	68	the	the	DET
cana-2475	247	69	models	model	NOUN
cana-2475	247	70	.	.	PUNCT
cana-2475	248	1	table	table	NOUN
cana-2475	248	2	2	2	NUM
cana-2475	248	3	:	:	PUNCT
cana-2475	248	4	average	average	ADJ
cana-2475	248	5	data	datum	NOUN
cana-2475	248	6	transmissions	transmission	NOUN
cana-2475	248	7	per	per	ADP
cana-2475	248	8	hour	hour	NOUN
cana-2475	248	9	by	by	ADP
cana-2475	248	10	aggregation	aggregation	NOUN
cana-2475	248	11	technique	technique	NOUN
cana-2475	248	12	model	model	NOUN
cana-2475	248	13	prediction	prediction	NOUN
cana-2475	248	14	accuracy	accuracy	NOUN
cana-2475	248	15	(	(	PUNCT
cana-2475	248	16	%	%	INTJ
cana-2475	248	17	)	)	PUNCT
cana-2475	248	18	simple	simple	ADJ
cana-2475	248	19	neural	neural	ADJ
cana-2475	248	20	network	network	NOUN
cana-2475	248	21	85	85	NUM
cana-2475	248	22	deep	deep	ADJ
cana-2475	248	23	neural	neural	ADJ
cana-2475	248	24	network	network	NOUN
cana-2475	248	25	90	90	NUM
cana-2475	248	26	neural	neural	ADJ
cana-2475	248	27	network	network	NOUN
cana-2475	248	28	+	+	CCONJ
cana-2475	248	29	aco	aco	PROPN
cana-2475	248	30	93	93	NUM
cana-2475	248	31	neural	neural	ADJ
cana-2475	248	32	network	network	NOUN
cana-2475	248	33	+	+	CCONJ
cana-2475	248	34	pso	pso	NOUN
cana-2475	248	35	91	91	NUM
cana-2475	248	36	with	with	ADP
cana-2475	248	37	an	an	DET
cana-2475	248	38	accuracy	accuracy	NOUN
cana-2475	248	39	of	of	ADP
cana-2475	248	40	85	85	NUM
cana-2475	248	41	%	%	NOUN
cana-2475	248	42	,	,	PUNCT
cana-2475	248	43	the	the	DET
cana-2475	248	44	simple	simple	ADJ
cana-2475	248	45	neural	neural	ADJ
cana-2475	248	46	network	network	NOUN
cana-2475	248	47	demonstrated	demonstrate	VERB
cana-2475	248	48	its	its	PRON
cana-2475	248	49	fundamental	fundamental	ADJ
cana-2475	248	50	prediction	prediction	NOUN
cana-2475	248	51	ability	ability	NOUN
cana-2475	248	52	.	.	PUNCT
cana-2475	249	1	the	the	DET
cana-2475	249	2	deep	deep	ADJ
cana-2475	249	3	neural	neural	ADJ
cana-2475	249	4	network	network	NOUN
cana-2475	249	5	,	,	PUNCT
cana-2475	249	6	on	on	ADP
cana-2475	249	7	the	the	DET
cana-2475	249	8	other	other	ADJ
cana-2475	249	9	hand	hand	NOUN
cana-2475	249	10	,	,	PUNCT
cana-2475	249	11	increased	increase	VERB
cana-2475	249	12	prediction	prediction	NOUN
cana-2475	249	13	accuracy	accuracy	NOUN
cana-2475	249	14	to	to	ADP
cana-2475	249	15	90	90	NUM
cana-2475	249	16	%	%	NOUN
cana-2475	249	17	by	by	ADP
cana-2475	249	18	incorporating	incorporate	VERB
cana-2475	249	19	more	more	ADV
cana-2475	249	20	intricate	intricate	ADJ
cana-2475	249	21	layers	layer	NOUN
cana-2475	249	22	and	and	CCONJ
cana-2475	249	23	structures	structure	NOUN
cana-2475	249	24	.	.	PUNCT
cana-2475	250	1	at	at	ADP
cana-2475	250	2	93	93	NUM
cana-2475	250	3	%	%	NOUN
cana-2475	250	4	,	,	PUNCT
cana-2475	250	5	the	the	DET
cana-2475	250	6	neural	neural	ADJ
cana-2475	250	7	network	network	NOUN
cana-2475	250	8	in	in	ADP
cana-2475	250	9	conjunction	conjunction	NOUN
cana-2475	250	10	with	with	ADP
cana-2475	250	11	ant	ant	ADJ
cana-2475	250	12	colony	colony	NOUN
cana-2475	250	13	optimisation	optimisation	NOUN
cana-2475	250	14	(	(	PUNCT
cana-2475	250	15	aco	aco	PROPN
cana-2475	250	16	)	)	PUNCT
cana-2475	250	17	had	have	VERB
cana-2475	250	18	the	the	DET
cana-2475	250	19	highest	high	ADJ
cana-2475	250	20	accuracy	accuracy	NOUN
cana-2475	250	21	.	.	PUNCT
cana-2475	251	1	this	this	PRON
cana-2475	251	2	suggests	suggest	VERB
cana-2475	251	3	that	that	SCONJ
cana-2475	251	4	by	by	ADP
cana-2475	251	5	utilising	utilise	VERB
cana-2475	251	6	aco	aco	PROPN
cana-2475	251	7	's	's	PART
cana-2475	251	8	optimisation	optimisation	NOUN
cana-2475	251	9	skills	skill	NOUN
cana-2475	251	10	,	,	PUNCT
cana-2475	251	11	the	the	DET
cana-2475	251	12	combination	combination	NOUN
cana-2475	251	13	of	of	ADP
cana-2475	251	14	aco	aco	PROPN
cana-2475	251	15	with	with	ADP
cana-2475	251	16	neural	neural	ADJ
cana-2475	251	17	networks	network	NOUN
cana-2475	251	18	greatly	greatly	ADV
cana-2475	251	19	improves	improve	VERB
cana-2475	251	20	predictive	predictive	ADJ
cana-2475	251	21	performance	performance	NOUN
cana-2475	251	22	.	.	PUNCT
cana-2475	252	1	the	the	DET
cana-2475	252	2	accuracy	accuracy	NOUN
cana-2475	252	3	of	of	ADP
cana-2475	252	4	the	the	DET
cana-2475	252	5	neural	neural	ADJ
cana-2475	252	6	network	network	NOUN
cana-2475	252	7	coupled	couple	VERB
cana-2475	252	8	with	with	ADP
cana-2475	252	9	particle	particle	NOUN
cana-2475	252	10	swarm	swarm	NOUN
cana-2475	252	11	optimisation	optimisation	NOUN
cana-2475	252	12	(	(	PUNCT
cana-2475	252	13	pso	pso	NOUN
cana-2475	252	14	)	)	PUNCT
cana-2475	252	15	was	be	AUX
cana-2475	252	16	also	also	ADV
cana-2475	252	17	enhanced	enhance	VERB
cana-2475	252	18	,	,	PUNCT
cana-2475	252	19	reaching	reach	VERB
cana-2475	252	20	91	91	NUM
cana-2475	252	21	%	%	NOUN
cana-2475	252	22	,	,	PUNCT
cana-2475	252	23	which	which	PRON
cana-2475	252	24	is	be	AUX
cana-2475	252	25	marginally	marginally	ADV
cana-2475	252	26	lower	low	ADJ
cana-2475	252	27	than	than	ADP
cana-2475	252	28	the	the	DET
cana-2475	252	29	aco	aco	PROPN
cana-2475	252	30	-	-	PUNCT
cana-2475	252	31	enhanced	enhance	VERB
cana-2475	252	32	model	model	NOUN
cana-2475	252	33	but	but	CCONJ
cana-2475	252	34	higher	high	ADJ
cana-2475	252	35	than	than	ADP
cana-2475	252	36	the	the	DET
cana-2475	252	37	deep	deep	ADJ
cana-2475	252	38	neural	neural	ADJ
cana-2475	252	39	network	network	NOUN
cana-2475	252	40	.	.	PUNCT
cana-2475	253	1	overall	overall	ADV
cana-2475	253	2	,	,	PUNCT
cana-2475	253	3	our	our	PRON
cana-2475	253	4	findings	finding	NOUN
cana-2475	253	5	imply	imply	VERB
cana-2475	253	6	that	that	SCONJ
cana-2475	253	7	,	,	PUNCT
cana-2475	253	8	in	in	ADP
cana-2475	253	9	comparison	comparison	NOUN
cana-2475	253	10	to	to	ADP
cana-2475	253	11	standalone	standalone	NOUN
cana-2475	253	12	models	model	NOUN
cana-2475	253	13	or	or	CCONJ
cana-2475	253	14	more	more	ADJ
cana-2475	253	15	basic	basic	ADJ
cana-2475	253	16	neural	neural	ADJ
cana-2475	253	17	network	network	NOUN
cana-2475	253	18	topologies	topology	NOUN
cana-2475	253	19	,	,	PUNCT
cana-2475	253	20	advanced	advanced	ADJ
cana-2475	253	21	optimisation	optimisation	NOUN
cana-2475	253	22	methods	method	NOUN
cana-2475	253	23	like	like	ADP
cana-2475	253	24	aco	aco	PROPN
cana-2475	253	25	and	and	CCONJ
cana-2475	253	26	pso	pso	PROPN
cana-2475	253	27	,	,	PUNCT
cana-2475	253	28	when	when	SCONJ
cana-2475	253	29	paired	pair	VERB
cana-2475	253	30	with	with	ADP
cana-2475	253	31	neural	neural	ADJ
cana-2475	253	32	networks	network	NOUN
cana-2475	253	33	,	,	PUNCT
cana-2475	253	34	can	can	AUX
cana-2475	253	35	significantly	significantly	ADV
cana-2475	253	36	increase	increase	VERB
cana-2475	253	37	prediction	prediction	NOUN
cana-2475	253	38	accuracy	accuracy	NOUN
cana-2475	253	39	.	.	PUNCT
cana-2475	254	1	communications	communication	NOUN
cana-2475	254	2	on	on	ADP
cana-2475	254	3	applied	apply	VERB
cana-2475	254	4	nonlinear	nonlinear	ADJ
cana-2475	254	5	analysis	analysis	NOUN
cana-2475	254	6	issn	issn	NOUN
cana-2475	254	7	:	:	PUNCT
cana-2475	254	8	1074	1074	NUM
cana-2475	254	9	-	-	PUNCT
cana-2475	254	10	133x	133x	NUM
cana-2475	254	11	vol	vol	NOUN
cana-2475	254	12	32	32	NUM
cana-2475	254	13	no	no	NOUN
cana-2475	254	14	.	.	PUNCT
cana-2475	255	1	2s	2s	NUM
cana-2475	255	2	(	(	PUNCT
cana-2475	255	3	2025	2025	NUM
cana-2475	255	4	)	)	PUNCT
cana-2475	255	5	479	479	NUM
cana-2475	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	255	7	fig	fig	NOUN
cana-2475	255	8	.	.	PUNCT
cana-2475	256	1	4	4	NUM
cana-2475	256	2	:	:	PUNCT
cana-2475	256	3	average	average	ADJ
cana-2475	256	4	data	datum	NOUN
cana-2475	256	5	transmissions	transmission	NOUN
cana-2475	256	6	per	per	ADP
cana-2475	256	7	hour	hour	NOUN
cana-2475	256	8	by	by	ADP
cana-2475	256	9	aggregation	aggregation	NOUN
cana-2475	256	10	technique	technique	NOUN
cana-2475	256	11	fig	fig	NOUN
cana-2475	256	12	.	.	PUNCT
cana-2475	257	1	5	5	NUM
cana-2475	257	2	:	:	PUNCT
cana-2475	257	3	energy	energy	NOUN
cana-2475	257	4	savings	saving	NOUN
cana-2475	257	5	by	by	ADP
cana-2475	257	6	application	application	NOUN
cana-2475	257	7	type	type	NOUN
cana-2475	257	8	the	the	DET
cana-2475	257	9	proportion	proportion	NOUN
cana-2475	257	10	of	of	ADP
cana-2475	257	11	energy	energy	NOUN
cana-2475	257	12	savings	saving	NOUN
cana-2475	257	13	attained	attain	VERB
cana-2475	257	14	across	across	ADP
cana-2475	257	15	various	various	ADJ
cana-2475	257	16	application	application	NOUN
cana-2475	257	17	types	type	NOUN
cana-2475	257	18	is	be	AUX
cana-2475	257	19	shown	show	VERB
cana-2475	257	20	in	in	ADP
cana-2475	257	21	figure	figure	NOUN
cana-2475	257	22	5	5	NUM
cana-2475	257	23	.	.	PUNCT
cana-2475	257	24	applications	application	NOUN
cana-2475	257	25	for	for	ADP
cana-2475	257	26	smart	smart	ADJ
cana-2475	257	27	cities	city	NOUN
cana-2475	257	28	show	show	VERB
cana-2475	257	29	energy	energy	NOUN
cana-2475	257	30	savings	saving	NOUN
cana-2475	257	31	of	of	ADP
cana-2475	257	32	up	up	ADP
cana-2475	257	33	to	to	PART
cana-2475	257	34	35	35	NUM
cana-2475	257	35	%	%	NOUN
cana-2475	257	36	,	,	PUNCT
cana-2475	257	37	which	which	PRON
cana-2475	257	38	is	be	AUX
cana-2475	257	39	indicative	indicative	ADJ
cana-2475	257	40	of	of	ADP
cana-2475	257	41	better	well	ADJ
cana-2475	257	42	urban	urban	ADJ
cana-2475	257	43	energy	energy	NOUN
cana-2475	257	44	management	management	NOUN
cana-2475	257	45	.	.	PUNCT
cana-2475	258	1	applications	application	NOUN
cana-2475	258	2	for	for	ADP
cana-2475	258	3	environmental	environmental	ADJ
cana-2475	258	4	monitoring	monitoring	NOUN
cana-2475	258	5	show	show	VERB
cana-2475	258	6	that	that	SCONJ
cana-2475	258	7	monitoring	monitoring	NOUN
cana-2475	258	8	systems	system	NOUN
cana-2475	258	9	are	be	AUX
cana-2475	258	10	effective	effective	ADJ
cana-2475	258	11	at	at	ADP
cana-2475	258	12	saving	save	VERB
cana-2475	258	13	energy	energy	NOUN
cana-2475	258	14	since	since	SCONJ
cana-2475	258	15	they	they	PRON
cana-2475	258	16	produce	produce	VERB
cana-2475	258	17	a	a	DET
cana-2475	258	18	higher	high	ADJ
cana-2475	258	19	energy	energy	NOUN
cana-2475	258	20	savings	saving	NOUN
cana-2475	258	21	rate	rate	NOUN
cana-2475	258	22	of	of	ADP
cana-2475	258	23	40	40	NUM
cana-2475	258	24	%	%	NOUN
cana-2475	258	25	.	.	PUNCT
cana-2475	259	1	the	the	DET
cana-2475	259	2	largest	large	ADJ
cana-2475	259	3	savings	saving	NOUN
cana-2475	259	4	,	,	PUNCT
cana-2475	259	5	of	of	ADP
cana-2475	259	6	50	50	NUM
cana-2475	259	7	%	%	NOUN
cana-2475	259	8	,	,	PUNCT
cana-2475	259	9	are	be	AUX
cana-2475	259	10	shown	show	VERB
cana-2475	259	11	in	in	ADP
cana-2475	259	12	healthcare	healthcare	NOUN
cana-2475	259	13	applications	application	NOUN
cana-2475	259	14	,	,	PUNCT
cana-2475	259	15	suggesting	suggest	VERB
cana-2475	259	16	that	that	SCONJ
cana-2475	259	17	energy	energy	NOUN
cana-2475	259	18	-	-	PUNCT
cana-2475	259	19	efficient	efficient	ADJ
cana-2475	259	20	solutions	solution	NOUN
cana-2475	259	21	have	have	VERB
cana-2475	259	22	a	a	DET
cana-2475	259	23	big	big	ADJ
cana-2475	259	24	positive	positive	ADJ
cana-2475	259	25	impact	impact	NOUN
cana-2475	259	26	on	on	ADP
cana-2475	259	27	healthcare	healthcare	NOUN
cana-2475	259	28	systems	system	NOUN
cana-2475	259	29	.	.	PUNCT
cana-2475	260	1	energy	energy	NOUN
cana-2475	260	2	-	-	PUNCT
cana-2475	260	3	saving	save	VERB
cana-2475	260	4	techniques	technique	NOUN
cana-2475	260	5	in	in	ADP
cana-2475	260	6	industrial	industrial	ADJ
cana-2475	260	7	settings	setting	NOUN
cana-2475	260	8	are	be	AUX
cana-2475	260	9	beneficial	beneficial	ADJ
cana-2475	260	10	,	,	PUNCT
cana-2475	260	11	as	as	SCONJ
cana-2475	260	12	demonstrated	demonstrate	VERB
cana-2475	260	13	by	by	ADP
cana-2475	260	14	the	the	DET
cana-2475	260	15	45	45	NUM
cana-2475	260	16	%	%	NOUN
cana-2475	260	17	energy	energy	NOUN
cana-2475	260	18	savings	saving	NOUN
cana-2475	260	19	achieved	achieve	VERB
cana-2475	260	20	by	by	ADP
cana-2475	260	21	industrial	industrial	ADJ
cana-2475	260	22	monitoring	monitoring	NOUN
cana-2475	260	23	software	software	NOUN
cana-2475	260	24	.	.	PUNCT
cana-2475	261	1	overall	overall	ADV
cana-2475	261	2	,	,	PUNCT
cana-2475	261	3	the	the	DET
cana-2475	261	4	data	datum	NOUN
cana-2475	261	5	shows	show	VERB
cana-2475	261	6	that	that	SCONJ
cana-2475	261	7	different	different	ADJ
cana-2475	261	8	applications	application	NOUN
cana-2475	261	9	can	can	AUX
cana-2475	261	10	save	save	VERB
cana-2475	261	11	different	different	ADJ
cana-2475	261	12	amounts	amount	NOUN
cana-2475	261	13	of	of	ADP
cana-2475	261	14	energy	energy	NOUN
cana-2475	261	15	,	,	PUNCT
cana-2475	261	16	with	with	ADP
cana-2475	261	17	healthcare	healthcare	NOUN
cana-2475	261	18	demonstrating	demonstrate	VERB
cana-2475	261	19	the	the	DET
cana-2475	261	20	best	good	ADJ
cana-2475	261	21	efficiency	efficiency	NOUN
cana-2475	261	22	.	.	PUNCT
cana-2475	262	1	the	the	DET
cana-2475	262	2	study	study	NOUN
cana-2475	262	3	assesses	assess	VERB
cana-2475	262	4	how	how	SCONJ
cana-2475	262	5	different	different	ADJ
cana-2475	262	6	data	data	NOUN
cana-2475	262	7	aggregation	aggregation	NOUN
cana-2475	262	8	techniques	technique	NOUN
cana-2475	262	9	and	and	CCONJ
cana-2475	262	10	prediction	prediction	NOUN
cana-2475	262	11	models	model	NOUN
cana-2475	262	12	can	can	AUX
cana-2475	262	13	improve	improve	VERB
cana-2475	262	14	wireless	wireless	ADJ
cana-2475	262	15	sensor	sensor	NOUN
cana-2475	262	16	networks	network	NOUN
cana-2475	262	17	(	(	PUNCT
cana-2475	262	18	wsns	wsns	NOUN
cana-2475	262	19	)	)	PUNCT
cana-2475	262	20	predictive	predictive	ADJ
cana-2475	262	21	performance	performance	NOUN
cana-2475	262	22	and	and	CCONJ
cana-2475	262	23	energy	energy	NOUN
cana-2475	262	24	efficiency	efficiency	NOUN
cana-2475	262	25	.	.	PUNCT
cana-2475	263	1	according	accord	VERB
cana-2475	263	2	to	to	ADP
cana-2475	263	3	table	table	NOUN
cana-2475	263	4	1	1	NUM
cana-2475	263	5	,	,	PUNCT
cana-2475	263	6	aggregation	aggregation	NOUN
cana-2475	263	7	based	base	VERB
cana-2475	263	8	on	on	ADP
cana-2475	263	9	neural	neural	ADJ
cana-2475	263	10	networks	network	NOUN
cana-2475	263	11	considerably	considerably	ADV
cana-2475	263	12	lowers	lower	VERB
cana-2475	263	13	this	this	DET
cana-2475	263	14	energy	energy	NOUN
cana-2475	263	15	consumption	consumption	NOUN
cana-2475	263	16	to	to	ADP
cana-2475	263	17	80	80	NUM
cana-2475	263	18	mj	mj	NOUN
cana-2475	263	19	,	,	PUNCT
cana-2475	263	20	while	while	SCONJ
cana-2475	263	21	traditional	traditional	ADJ
cana-2475	263	22	methods	method	NOUN
cana-2475	263	23	require	require	VERB
cana-2475	263	24	120	120	NUM
cana-2475	263	25	mj	mj	NOUN
cana-2475	263	26	.	.	PUNCT
cana-2475	264	1	the	the	DET
cana-2475	264	2	improvements	improvement	NOUN
cana-2475	264	3	are	be	AUX
cana-2475	264	4	moderate	moderate	ADJ
cana-2475	264	5	for	for	ADP
cana-2475	264	6	particle	particle	NOUN
cana-2475	264	7	swarm	swarm	NOUN
cana-2475	264	8	optimisation	optimisation	NOUN
cana-2475	264	9	(	(	PUNCT
cana-2475	264	10	pso	pso	NOUN
cana-2475	264	11	)	)	PUNCT
cana-2475	264	12	and	and	CCONJ
cana-2475	264	13	ant	ant	ADJ
cana-2475	264	14	colony	colony	NOUN
cana-2475	264	15	optimisation	optimisation	NOUN
cana-2475	264	16	(	(	PUNCT
cana-2475	264	17	aco	aco	PROPN
cana-2475	264	18	)	)	PUNCT
cana-2475	264	19	,	,	PUNCT
cana-2475	264	20	with	with	ADP
cana-2475	264	21	energy	energy	NOUN
cana-2475	264	22	consumptions	consumption	NOUN
cana-2475	264	23	of	of	ADP
cana-2475	264	24	90	90	NUM
cana-2475	264	25	mj	mj	NOUN
cana-2475	264	26	and	and	CCONJ
cana-2475	264	27	95	95	NUM
cana-2475	264	28	mj	mj	NOUN
cana-2475	264	29	,	,	PUNCT
cana-2475	264	30	respectively	respectively	ADV
cana-2475	264	31	.	.	PUNCT
cana-2475	265	1	this	this	PRON
cana-2475	265	2	implies	imply	VERB
cana-2475	265	3	that	that	SCONJ
cana-2475	265	4	sophisticated	sophisticated	ADJ
cana-2475	265	5	aggregating	aggregating	NOUN
cana-2475	265	6	techniques	technique	NOUN
cana-2475	265	7	can	can	AUX
cana-2475	265	8	significantly	significantly	ADV
cana-2475	265	9	raise	raise	VERB
cana-2475	265	10	wsn	wsn	PROPN
cana-2475	265	11	energy	energy	NOUN
cana-2475	265	12	efficiency	efficiency	NOUN
cana-2475	265	13	.	.	PUNCT
cana-2475	266	1	the	the	DET
cana-2475	266	2	figure	figure	NOUN
cana-2475	266	3	1	1	NUM
cana-2475	266	4	illustrates	illustrate	VERB
cana-2475	266	5	the	the	DET
cana-2475	266	6	relative	relative	ADJ
cana-2475	266	7	energy	energy	NOUN
cana-2475	266	8	usage	usage	NOUN
cana-2475	266	9	of	of	ADP
cana-2475	266	10	several	several	ADJ
cana-2475	266	11	aggregating	aggregating	NOUN
cana-2475	266	12	strategies	strategy	NOUN
cana-2475	266	13	,	,	PUNCT
cana-2475	266	14	which	which	PRON
cana-2475	266	15	supports	support	VERB
cana-2475	266	16	the	the	DET
cana-2475	266	17	conclusions	conclusion	NOUN
cana-2475	266	18	.	.	PUNCT
cana-2475	267	1	the	the	DET
cana-2475	267	2	bar	bar	NOUN
cana-2475	267	3	graph	graph	NOUN
cana-2475	267	4	illustrates	illustrate	VERB
cana-2475	267	5	the	the	DET
cana-2475	267	6	possibility	possibility	NOUN
cana-2475	267	7	of	of	ADP
cana-2475	267	8	utilising	utilise	VERB
cana-2475	267	9	sophisticated	sophisticated	ADJ
cana-2475	267	10	algorithms	algorithm	NOUN
cana-2475	267	11	to	to	PART
cana-2475	267	12	improve	improve	VERB
cana-2475	267	13	wsn	wsn	PROPN
cana-2475	267	14	energy	energy	NOUN
cana-2475	267	15	communications	communication	NOUN
cana-2475	267	16	on	on	ADP
cana-2475	267	17	applied	apply	VERB
cana-2475	267	18	nonlinear	nonlinear	ADJ
cana-2475	267	19	analysis	analysis	NOUN
cana-2475	267	20	issn	issn	NOUN
cana-2475	267	21	:	:	PUNCT
cana-2475	267	22	1074	1074	NUM
cana-2475	267	23	-	-	PUNCT
cana-2475	267	24	133x	133x	NUM
cana-2475	267	25	vol	vol	NOUN
cana-2475	267	26	32	32	NUM
cana-2475	267	27	no	no	NOUN
cana-2475	267	28	.	.	PUNCT
cana-2475	268	1	2s	2s	NUM
cana-2475	268	2	(	(	PUNCT
cana-2475	268	3	2025	2025	NUM
cana-2475	268	4	)	)	PUNCT
cana-2475	268	5	480	480	NUM
cana-2475	268	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	268	7	efficiency	efficiency	NOUN
cana-2475	268	8	by	by	ADP
cana-2475	268	9	confirming	confirm	VERB
cana-2475	268	10	that	that	SCONJ
cana-2475	268	11	neural	neural	ADJ
cana-2475	268	12	networkbased	networkbased	ADJ
cana-2475	268	13	aggregation	aggregation	NOUN
cana-2475	268	14	results	result	NOUN
cana-2475	268	15	in	in	ADP
cana-2475	268	16	the	the	DET
cana-2475	268	17	lowest	low	ADJ
cana-2475	268	18	energy	energy	NOUN
cana-2475	268	19	consumption	consumption	NOUN
cana-2475	268	20	.	.	PUNCT
cana-2475	269	1	the	the	DET
cana-2475	269	2	effects	effect	NOUN
cana-2475	269	3	of	of	ADP
cana-2475	269	4	various	various	ADJ
cana-2475	269	5	prediction	prediction	NOUN
cana-2475	269	6	models	model	NOUN
cana-2475	269	7	and	and	CCONJ
cana-2475	269	8	optimisations	optimisation	NOUN
cana-2475	269	9	on	on	ADP
cana-2475	269	10	network	network	NOUN
cana-2475	269	11	longevity	longevity	NOUN
cana-2475	269	12	are	be	AUX
cana-2475	269	13	shown	show	VERB
cana-2475	269	14	in	in	ADP
cana-2475	269	15	figure	figure	NOUN
cana-2475	269	16	2	2	NUM
cana-2475	269	17	.	.	PUNCT
cana-2475	270	1	a	a	DET
cana-2475	270	2	prediction	prediction	NOUN
cana-2475	270	3	modelfree	modelfree	ADJ
cana-2475	270	4	network	network	NOUN
cana-2475	270	5	has	have	VERB
cana-2475	270	6	a	a	DET
cana-2475	270	7	250	250	NUM
cana-2475	270	8	-	-	PUNCT
cana-2475	270	9	day	day	NOUN
cana-2475	270	10	lifespan	lifespan	NOUN
cana-2475	270	11	.	.	PUNCT
cana-2475	271	1	the	the	DET
cana-2475	271	2	lifetime	lifetime	NOUN
cana-2475	271	3	can	can	AUX
cana-2475	271	4	be	be	AUX
cana-2475	271	5	increased	increase	VERB
cana-2475	271	6	to	to	ADP
cana-2475	271	7	400	400	NUM
cana-2475	271	8	days	day	NOUN
cana-2475	271	9	by	by	ADP
cana-2475	271	10	implementing	implement	VERB
cana-2475	271	11	a	a	DET
cana-2475	271	12	neural	neural	ADJ
cana-2475	271	13	networkbased	networkbase	VERB
cana-2475	271	14	model	model	NOUN
cana-2475	271	15	,	,	PUNCT
cana-2475	271	16	and	and	CCONJ
cana-2475	271	17	it	it	PRON
cana-2475	271	18	can	can	AUX
cana-2475	271	19	be	be	AUX
cana-2475	271	20	further	far	ADV
cana-2475	271	21	extended	extend	VERB
cana-2475	271	22	to	to	ADP
cana-2475	271	23	450	450	NUM
cana-2475	271	24	days	day	NOUN
cana-2475	271	25	by	by	ADP
cana-2475	271	26	combining	combine	VERB
cana-2475	271	27	optimisation	optimisation	NOUN
cana-2475	271	28	with	with	ADP
cana-2475	271	29	the	the	DET
cana-2475	271	30	hybrid	hybrid	ADJ
cana-2475	271	31	prediction	prediction	NOUN
cana-2475	271	32	model	model	NOUN
cana-2475	271	33	.	.	PUNCT
cana-2475	272	1	furthermore	furthermore	ADV
cana-2475	272	2	,	,	PUNCT
cana-2475	272	3	aggregation	aggregation	NOUN
cana-2475	272	4	with	with	ADP
cana-2475	272	5	increased	increase	VERB
cana-2475	272	6	security	security	NOUN
cana-2475	272	7	lengthens	lengthen	VERB
cana-2475	272	8	the	the	DET
cana-2475	272	9	network	network	NOUN
cana-2475	272	10	lifetime	lifetime	NOUN
cana-2475	272	11	to	to	ADP
cana-2475	272	12	380	380	NUM
cana-2475	272	13	days	day	NOUN
cana-2475	272	14	.	.	PUNCT
cana-2475	273	1	these	these	DET
cana-2475	273	2	findings	finding	NOUN
cana-2475	273	3	highlight	highlight	VERB
cana-2475	273	4	the	the	DET
cana-2475	273	5	major	major	ADJ
cana-2475	273	6	advantages	advantage	NOUN
cana-2475	273	7	of	of	ADP
cana-2475	273	8	combining	combine	VERB
cana-2475	273	9	prediction	prediction	NOUN
cana-2475	273	10	and	and	CCONJ
cana-2475	273	11	optimisation	optimisation	NOUN
cana-2475	273	12	techniques	technique	NOUN
cana-2475	273	13	to	to	PART
cana-2475	273	14	increase	increase	VERB
cana-2475	273	15	the	the	DET
cana-2475	273	16	operational	operational	ADJ
cana-2475	273	17	lifetime	lifetime	NOUN
cana-2475	273	18	of	of	ADP
cana-2475	273	19	wsns	wsns	PROPN
cana-2475	273	20	.	.	PUNCT
cana-2475	274	1	the	the	DET
cana-2475	274	2	average	average	ADJ
cana-2475	274	3	quantity	quantity	NOUN
cana-2475	274	4	of	of	ADP
cana-2475	274	5	data	datum	NOUN
cana-2475	274	6	transmissions	transmission	NOUN
cana-2475	274	7	for	for	ADP
cana-2475	274	8	each	each	PRON
cana-2475	274	9	of	of	ADP
cana-2475	274	10	the	the	DET
cana-2475	274	11	different	different	ADJ
cana-2475	274	12	aggregating	aggregating	NOUN
cana-2475	274	13	methods	method	NOUN
cana-2475	274	14	is	be	AUX
cana-2475	274	15	displayed	display	VERB
cana-2475	274	16	in	in	ADP
cana-2475	274	17	figure	figure	NOUN
cana-2475	274	18	3	3	NUM
cana-2475	274	19	.	.	NOUN
cana-2475	274	20	500	500	NUM
cana-2475	274	21	transmissions	transmission	NOUN
cana-2475	274	22	per	per	ADP
cana-2475	274	23	hour	hour	NOUN
cana-2475	274	24	are	be	AUX
cana-2475	274	25	produced	produce	VERB
cana-2475	274	26	by	by	ADP
cana-2475	274	27	traditional	traditional	ADJ
cana-2475	274	28	aggregation	aggregation	NOUN
cana-2475	274	29	;	;	PUNCT
cana-2475	274	30	this	this	DET
cana-2475	274	31	number	number	NOUN
cana-2475	274	32	drops	drop	VERB
cana-2475	274	33	to	to	ADP
cana-2475	274	34	350	350	NUM
cana-2475	274	35	with	with	ADP
cana-2475	274	36	neural	neural	ADJ
cana-2475	274	37	networkbased	networkbase	VERB
cana-2475	274	38	prediction	prediction	NOUN
cana-2475	274	39	and	and	CCONJ
cana-2475	274	40	to	to	ADP
cana-2475	274	41	300	300	NUM
cana-2475	274	42	with	with	ADP
cana-2475	274	43	optimisation	optimisation	NOUN
cana-2475	274	44	techniques	technique	NOUN
cana-2475	274	45	.	.	PUNCT
cana-2475	275	1	the	the	DET
cana-2475	275	2	hybrid	hybrid	ADJ
cana-2475	275	3	solution	solution	NOUN
cana-2475	275	4	,	,	PUNCT
cana-2475	275	5	which	which	PRON
cana-2475	275	6	combines	combine	VERB
cana-2475	275	7	the	the	DET
cana-2475	275	8	two	two	NUM
cana-2475	275	9	ways	way	NOUN
cana-2475	275	10	,	,	PUNCT
cana-2475	275	11	reaches	reach	VERB
cana-2475	275	12	the	the	DET
cana-2475	275	13	lowest	low	ADJ
cana-2475	275	14	rate	rate	NOUN
cana-2475	275	15	of	of	ADP
cana-2475	275	16	250	250	NUM
cana-2475	275	17	transmissions	transmission	NOUN
cana-2475	275	18	per	per	ADP
cana-2475	275	19	hour	hour	NOUN
cana-2475	275	20	,	,	PUNCT
cana-2475	275	21	suggesting	suggest	VERB
cana-2475	275	22	that	that	SCONJ
cana-2475	275	23	sophisticated	sophisticated	ADJ
cana-2475	275	24	techniques	technique	NOUN
cana-2475	275	25	may	may	AUX
cana-2475	275	26	effectively	effectively	ADV
cana-2475	275	27	increase	increase	VERB
cana-2475	275	28	the	the	DET
cana-2475	275	29	efficiency	efficiency	NOUN
cana-2475	275	30	of	of	ADP
cana-2475	275	31	data	datum	NOUN
cana-2475	275	32	transmission	transmission	NOUN
cana-2475	275	33	.	.	PUNCT
cana-2475	276	1	the	the	DET
cana-2475	276	2	prediction	prediction	NOUN
cana-2475	276	3	accuracy	accuracy	NOUN
cana-2475	276	4	and	and	CCONJ
cana-2475	276	5	energy	energy	NOUN
cana-2475	276	6	savings	saving	NOUN
cana-2475	276	7	for	for	ADP
cana-2475	276	8	various	various	ADJ
cana-2475	276	9	models	model	NOUN
cana-2475	276	10	and	and	CCONJ
cana-2475	276	11	applications	application	NOUN
cana-2475	276	12	are	be	AUX
cana-2475	276	13	displayed	display	VERB
cana-2475	276	14	in	in	ADP
cana-2475	276	15	figures	figure	NOUN
cana-2475	276	16	4	4	NUM
cana-2475	276	17	and	and	CCONJ
cana-2475	276	18	5	5	NUM
cana-2475	276	19	.	.	NOUN
cana-2475	276	20	neural	neural	ADJ
cana-2475	276	21	networks	network	NOUN
cana-2475	276	22	that	that	PRON
cana-2475	276	23	are	be	AUX
cana-2475	276	24	combined	combine	VERB
cana-2475	276	25	with	with	ADP
cana-2475	276	26	aco	aco	PROPN
cana-2475	276	27	have	have	VERB
cana-2475	276	28	the	the	DET
cana-2475	276	29	highest	high	ADJ
cana-2475	276	30	accuracy	accuracy	NOUN
cana-2475	276	31	(	(	PUNCT
cana-2475	276	32	93	93	NUM
cana-2475	276	33	%	%	NOUN
cana-2475	276	34	)	)	PUNCT
cana-2475	276	35	,	,	PUNCT
cana-2475	276	36	followed	follow	VERB
cana-2475	276	37	by	by	ADP
cana-2475	276	38	pso	pso	NOUN
cana-2475	276	39	(	(	PUNCT
cana-2475	276	40	91	91	NUM
cana-2475	276	41	%	%	NOUN
cana-2475	276	42	)	)	PUNCT
cana-2475	276	43	,	,	PUNCT
cana-2475	276	44	deep	deep	ADJ
cana-2475	276	45	neural	neural	ADJ
cana-2475	276	46	networks	network	NOUN
cana-2475	276	47	(	(	PUNCT
cana-2475	276	48	90	90	NUM
cana-2475	276	49	%	%	NOUN
cana-2475	276	50	)	)	PUNCT
cana-2475	276	51	and	and	CCONJ
cana-2475	276	52	simple	simple	ADJ
cana-2475	276	53	neural	neural	ADJ
cana-2475	276	54	networks	network	NOUN
cana-2475	276	55	(	(	PUNCT
cana-2475	276	56	85	85	NUM
cana-2475	276	57	%	%	NOUN
cana-2475	276	58	)	)	PUNCT
cana-2475	276	59	.	.	PUNCT
cana-2475	277	1	this	this	PRON
cana-2475	277	2	suggests	suggest	VERB
cana-2475	277	3	that	that	SCONJ
cana-2475	277	4	sophisticated	sophisticated	ADJ
cana-2475	277	5	optimisation	optimisation	NOUN
cana-2475	277	6	techniques	technique	NOUN
cana-2475	277	7	greatly	greatly	ADV
cana-2475	277	8	improve	improve	VERB
cana-2475	277	9	prediction	prediction	NOUN
cana-2475	277	10	accuracy	accuracy	NOUN
cana-2475	277	11	.	.	PUNCT
cana-2475	278	1	healthcare	healthcare	NOUN
cana-2475	278	2	applications	application	NOUN
cana-2475	278	3	achieve	achieve	VERB
cana-2475	278	4	the	the	DET
cana-2475	278	5	biggest	big	ADJ
cana-2475	278	6	energy	energy	NOUN
cana-2475	278	7	savings	saving	NOUN
cana-2475	278	8	at	at	ADP
cana-2475	278	9	50	50	NUM
cana-2475	278	10	%	%	NOUN
cana-2475	278	11	,	,	PUNCT
cana-2475	278	12	followed	follow	VERB
cana-2475	278	13	by	by	ADP
cana-2475	278	14	industrial	industrial	ADJ
cana-2475	278	15	monitoring	monitoring	NOUN
cana-2475	278	16	at	at	ADP
cana-2475	278	17	45	45	NUM
cana-2475	278	18	%	%	NOUN
cana-2475	278	19	,	,	PUNCT
cana-2475	278	20	environmental	environmental	ADJ
cana-2475	278	21	monitoring	monitoring	NOUN
cana-2475	278	22	at	at	ADP
cana-2475	278	23	40	40	NUM
cana-2475	278	24	%	%	NOUN
cana-2475	278	25	,	,	PUNCT
cana-2475	278	26	and	and	CCONJ
cana-2475	278	27	smart	smart	ADJ
cana-2475	278	28	cities	city	NOUN
cana-2475	278	29	at	at	ADP
cana-2475	278	30	35	35	NUM
cana-2475	278	31	%	%	NOUN
cana-2475	278	32	.	.	PUNCT
cana-2475	279	1	additionally	additionally	ADV
cana-2475	279	2	,	,	PUNCT
cana-2475	279	3	energy	energy	NOUN
cana-2475	279	4	savings	saving	NOUN
cana-2475	279	5	vary	vary	VERB
cana-2475	279	6	by	by	ADP
cana-2475	279	7	application	application	NOUN
cana-2475	279	8	type	type	NOUN
cana-2475	279	9	.	.	PUNCT
cana-2475	280	1	these	these	DET
cana-2475	280	2	findings	finding	NOUN
cana-2475	280	3	highlight	highlight	VERB
cana-2475	280	4	the	the	DET
cana-2475	280	5	significant	significant	ADJ
cana-2475	280	6	advantages	advantage	NOUN
cana-2475	280	7	of	of	ADP
cana-2475	280	8	energy	energy	NOUN
cana-2475	280	9	-	-	PUNCT
cana-2475	280	10	efficient	efficient	ADJ
cana-2475	280	11	technologies	technology	NOUN
cana-2475	280	12	,	,	PUNCT
cana-2475	280	13	especially	especially	ADV
cana-2475	280	14	in	in	ADP
cana-2475	280	15	the	the	DET
cana-2475	280	16	healthcare	healthcare	NOUN
cana-2475	280	17	industry	industry	NOUN
cana-2475	280	18	.	.	PUNCT
cana-2475	281	1	the	the	DET
cana-2475	281	2	study	study	NOUN
cana-2475	281	3	's	's	PART
cana-2475	281	4	overall	overall	ADJ
cana-2475	281	5	findings	finding	NOUN
cana-2475	281	6	demonstrate	demonstrate	VERB
cana-2475	281	7	how	how	SCONJ
cana-2475	281	8	incorporating	incorporate	VERB
cana-2475	281	9	sophisticated	sophisticated	ADJ
cana-2475	281	10	prediction	prediction	NOUN
cana-2475	281	11	models	model	NOUN
cana-2475	281	12	and	and	CCONJ
cana-2475	281	13	optimisation	optimisation	NOUN
cana-2475	281	14	strategies	strategy	NOUN
cana-2475	281	15	greatly	greatly	ADV
cana-2475	281	16	increases	increase	VERB
cana-2475	281	17	wsns	wsns	NOUN
cana-2475	281	18	'	'	PUNCT
cana-2475	281	19	predictive	predictive	ADJ
cana-2475	281	20	accuracy	accuracy	NOUN
cana-2475	281	21	and	and	CCONJ
cana-2475	281	22	energy	energy	NOUN
cana-2475	281	23	efficiency	efficiency	NOUN
cana-2475	281	24	,	,	PUNCT
cana-2475	281	25	with	with	ADP
cana-2475	281	26	noteworthy	noteworthy	ADJ
cana-2475	281	27	advantages	advantage	NOUN
cana-2475	281	28	for	for	ADP
cana-2475	281	29	a	a	DET
cana-2475	281	30	variety	variety	NOUN
cana-2475	281	31	of	of	ADP
cana-2475	281	32	applications	application	NOUN
cana-2475	281	33	.	.	PUNCT
cana-2475	282	1	vi	vi	X
cana-2475	282	2	.	.	PROPN
cana-2475	282	3	conclusion	conclusion	NOUN
cana-2475	282	4	this	this	DET
cana-2475	282	5	study	study	NOUN
cana-2475	282	6	shows	show	VERB
cana-2475	282	7	that	that	SCONJ
cana-2475	282	8	wireless	wireless	ADJ
cana-2475	282	9	sensor	sensor	NOUN
cana-2475	282	10	networks	network	NOUN
cana-2475	282	11	(	(	PUNCT
cana-2475	282	12	wsns	wsns	NOUN
cana-2475	282	13	)	)	PUNCT
cana-2475	282	14	can	can	AUX
cana-2475	282	15	achieve	achieve	VERB
cana-2475	282	16	much	much	ADV
cana-2475	282	17	higher	high	ADJ
cana-2475	282	18	energy	energy	NOUN
cana-2475	282	19	efficiency	efficiency	NOUN
cana-2475	282	20	by	by	ADP
cana-2475	282	21	including	include	VERB
cana-2475	282	22	neural	neural	ADJ
cana-2475	282	23	network	network	NOUN
cana-2475	282	24	-	-	PUNCT
cana-2475	282	25	based	base	VERB
cana-2475	282	26	prediction	prediction	NOUN
cana-2475	282	27	models	model	NOUN
cana-2475	282	28	into	into	ADP
cana-2475	282	29	data	datum	NOUN
cana-2475	282	30	aggregation	aggregation	NOUN
cana-2475	282	31	procedures	procedure	NOUN
cana-2475	282	32	.	.	PUNCT
cana-2475	283	1	our	our	PRON
cana-2475	283	2	method	method	NOUN
cana-2475	283	3	lowers	lower	VERB
cana-2475	283	4	energy	energy	NOUN
cana-2475	283	5	consumption	consumption	NOUN
cana-2475	283	6	and	and	CCONJ
cana-2475	283	7	extends	extend	VERB
cana-2475	283	8	network	network	NOUN
cana-2475	283	9	lifespans	lifespan	NOUN
cana-2475	283	10	by	by	ADP
cana-2475	283	11	combining	combine	VERB
cana-2475	283	12	multiple	multiple	ADJ
cana-2475	283	13	neural	neural	ADJ
cana-2475	283	14	network	network	NOUN
cana-2475	283	15	models	model	NOUN
cana-2475	283	16	,	,	PUNCT
cana-2475	283	17	such	such	ADJ
cana-2475	283	18	as	as	ADP
cana-2475	283	19	feedforward	feedforward	ADJ
cana-2475	283	20	neural	neural	ADJ
cana-2475	283	21	networks	network	NOUN
cana-2475	283	22	,	,	PUNCT
cana-2475	283	23	recurrent	recurrent	ADJ
cana-2475	283	24	neural	neural	ADJ
cana-2475	283	25	networks	network	NOUN
cana-2475	283	26	,	,	PUNCT
cana-2475	283	27	long	long	ADJ
cana-2475	283	28	short	short	ADJ
cana-2475	283	29	-	-	PUNCT
cana-2475	283	30	term	term	NOUN
cana-2475	283	31	memory	memory	NOUN
cana-2475	283	32	networks	network	NOUN
cana-2475	283	33	,	,	PUNCT
cana-2475	283	34	and	and	CCONJ
cana-2475	283	35	convolutional	convolutional	ADJ
cana-2475	283	36	neural	neural	ADJ
cana-2475	283	37	networks	network	NOUN
cana-2475	283	38	.	.	PUNCT
cana-2475	284	1	according	accord	VERB
cana-2475	284	2	to	to	ADP
cana-2475	284	3	simulation	simulation	NOUN
cana-2475	284	4	results	result	NOUN
cana-2475	284	5	,	,	PUNCT
cana-2475	284	6	energy	energy	NOUN
cana-2475	284	7	consumption	consumption	NOUN
cana-2475	284	8	is	be	AUX
cana-2475	284	9	reduced	reduce	VERB
cana-2475	284	10	to	to	ADP
cana-2475	284	11	80	80	NUM
cana-2475	284	12	mj	mj	NOUN
cana-2475	284	13	using	use	VERB
cana-2475	284	14	neural	neural	ADJ
cana-2475	284	15	network	network	NOUN
cana-2475	284	16	-	-	PUNCT
cana-2475	284	17	based	base	VERB
cana-2475	284	18	aggregation	aggregation	NOUN
cana-2475	284	19	,	,	PUNCT
cana-2475	284	20	as	as	SCONJ
cana-2475	284	21	opposed	oppose	VERB
cana-2475	284	22	to	to	ADP
cana-2475	284	23	120	120	NUM
cana-2475	284	24	mj	mj	NOUN
cana-2475	284	25	by	by	ADP
cana-2475	284	26	conventional	conventional	ADJ
cana-2475	284	27	approaches	approach	NOUN
cana-2475	284	28	.	.	PUNCT
cana-2475	285	1	energy	energy	NOUN
cana-2475	285	2	savings	saving	NOUN
cana-2475	285	3	and	and	CCONJ
cana-2475	285	4	system	system	NOUN
cana-2475	285	5	performance	performance	NOUN
cana-2475	285	6	are	be	AUX
cana-2475	285	7	further	far	ADV
cana-2475	285	8	enhanced	enhance	VERB
cana-2475	285	9	by	by	ADP
cana-2475	285	10	the	the	DET
cana-2475	285	11	use	use	NOUN
cana-2475	285	12	of	of	ADP
cana-2475	285	13	optimisation	optimisation	NOUN
cana-2475	285	14	techniques	technique	NOUN
cana-2475	285	15	like	like	ADP
cana-2475	285	16	particle	particle	NOUN
cana-2475	285	17	swarm	swarm	NOUN
cana-2475	285	18	optimisation	optimisation	NOUN
cana-2475	285	19	(	(	PUNCT
cana-2475	285	20	pso	pso	NOUN
cana-2475	285	21	)	)	PUNCT
cana-2475	285	22	and	and	CCONJ
cana-2475	285	23	ant	ant	ADJ
cana-2475	285	24	colony	colony	NOUN
cana-2475	285	25	optimisation	optimisation	NOUN
cana-2475	285	26	(	(	PUNCT
cana-2475	285	27	aco	aco	PROPN
cana-2475	285	28	)	)	PUNCT
cana-2475	285	29	.	.	PUNCT
cana-2475	286	1	prediction	prediction	NOUN
cana-2475	286	2	models	model	NOUN
cana-2475	286	3	also	also	ADV
cana-2475	286	4	increase	increase	VERB
cana-2475	286	5	the	the	DET
cana-2475	286	6	longevity	longevity	NOUN
cana-2475	286	7	of	of	ADP
cana-2475	286	8	networks	network	NOUN
cana-2475	286	9	and	and	CCONJ
cana-2475	286	10	reduce	reduce	VERB
cana-2475	286	11	the	the	DET
cana-2475	286	12	frequency	frequency	NOUN
cana-2475	286	13	of	of	ADP
cana-2475	286	14	data	datum	NOUN
cana-2475	286	15	transfer	transfer	NOUN
cana-2475	286	16	,	,	PUNCT
cana-2475	286	17	which	which	PRON
cana-2475	286	18	improves	improve	VERB
cana-2475	286	19	overall	overall	ADJ
cana-2475	286	20	efficiency	efficiency	NOUN
cana-2475	286	21	.	.	PUNCT
cana-2475	287	1	these	these	DET
cana-2475	287	2	developments	development	NOUN
cana-2475	287	3	highlight	highlight	VERB
cana-2475	287	4	the	the	DET
cana-2475	287	5	potential	potential	NOUN
cana-2475	287	6	for	for	ADP
cana-2475	287	7	neural	neural	ADJ
cana-2475	287	8	networkbased	networkbased	ADJ
cana-2475	287	9	solutions	solution	NOUN
cana-2475	287	10	to	to	PART
cana-2475	287	11	produce	produce	VERB
cana-2475	287	12	more	more	ADV
cana-2475	287	13	sustainable	sustainable	ADJ
cana-2475	287	14	and	and	CCONJ
cana-2475	287	15	efficient	efficient	ADJ
cana-2475	287	16	wsn	wsn	NOUN
cana-2475	287	17	designs	design	NOUN
cana-2475	287	18	,	,	PUNCT
cana-2475	287	19	with	with	ADP
cana-2475	287	20	significant	significant	ADJ
cana-2475	287	21	implications	implication	NOUN
cana-2475	287	22	for	for	ADP
cana-2475	287	23	smart	smart	ADJ
cana-2475	287	24	cities	city	NOUN
cana-2475	287	25	,	,	PUNCT
cana-2475	287	26	healthcare	healthcare	PROPN
cana-2475	287	27	,	,	PUNCT
cana-2475	287	28	environmental	environmental	ADJ
cana-2475	287	29	monitoring	monitoring	NOUN
cana-2475	287	30	,	,	PUNCT
cana-2475	287	31	and	and	CCONJ
cana-2475	287	32	industrial	industrial	ADJ
cana-2475	287	33	applications	application	NOUN
cana-2475	287	34	.	.	PUNCT
cana-2475	288	1	communications	communication	NOUN
cana-2475	288	2	on	on	ADP
cana-2475	288	3	applied	apply	VERB
cana-2475	288	4	nonlinear	nonlinear	ADJ
cana-2475	288	5	analysis	analysis	NOUN
cana-2475	288	6	issn	issn	NOUN
cana-2475	288	7	:	:	PUNCT
cana-2475	288	8	1074	1074	NUM
cana-2475	288	9	-	-	PUNCT
cana-2475	288	10	133x	133x	NUM
cana-2475	288	11	vol	vol	NOUN
cana-2475	288	12	32	32	NUM
cana-2475	288	13	no	no	NOUN
cana-2475	288	14	.	.	PUNCT
cana-2475	289	1	2s	2s	NUM
cana-2475	289	2	(	(	PUNCT
cana-2475	289	3	2025	2025	NUM
cana-2475	289	4	)	)	PUNCT
cana-2475	289	5	481	481	NUM
cana-2475	289	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2475	289	7	references	reference	NOUN
cana-2475	289	8	[	[	X
cana-2475	289	9	1	1	NUM
cana-2475	289	10	]	]	X
cana-2475	289	11	n.	n.	PROPN
cana-2475	289	12	kaur	kaur	PROPN
cana-2475	289	13	and	and	CCONJ
cana-2475	289	14	d.	d.	PROPN
cana-2475	289	15	vetrithangam	vetrithangam	NOUN
cana-2475	289	16	,	,	PUNCT
cana-2475	289	17	"	"	PUNCT
cana-2475	289	18	metaheuristicbased	metaheuristicbase	VERB
cana-2475	289	19	neural	neural	ADJ
cana-2475	289	20	network	network	NOUN
cana-2475	289	21	for	for	ADP
cana-2475	289	22	energy	energy	NOUN
cana-2475	289	23	-	-	PUNCT
cana-2475	289	24	efficient	efficient	ADJ
cana-2475	289	25	data	data	NOUN
cana-2475	289	26	aggregation	aggregation	NOUN
cana-2475	289	27	in	in	ADP
cana-2475	289	28	wireless	wireless	ADJ
cana-2475	289	29	sensor	sensor	NOUN
cana-2475	289	30	networks	network	NOUN
cana-2475	289	31	,	,	PUNCT
cana-2475	289	32	"	"	PUNCT
cana-2475	289	33	ieee	ieee	NOUN
cana-2475	289	34	transactions	transaction	NOUN
cana-2475	289	35	on	on	ADP
cana-2475	289	36	wireless	wireless	ADJ
cana-2475	289	37	communications	communication	NOUN
cana-2475	289	38	,	,	PUNCT
cana-2475	289	39	vol	vol	NOUN
cana-2475	289	40	.	.	PROPN
cana-2475	290	1	23	23	NUM
cana-2475	290	2	,	,	PUNCT
cana-2475	290	3	no	no	INTJ
cana-2475	290	4	.	.	NOUN
cana-2475	290	5	1	1	NUM
cana-2475	290	6	,	,	PUNCT
cana-2475	290	7	pp	pp	ADJ
cana-2475	290	8	.	.	PUNCT
cana-2475	291	1	45	45	NUM
cana-2475	291	2	-	-	SYM
cana-2475	291	3	56	56	NUM
cana-2475	291	4	,	,	PUNCT
cana-2475	291	5	2024	2024	NUM
cana-2475	291	6	.	.	PUNCT
cana-2475	292	1	[	[	X
cana-2475	292	2	2	2	X
cana-2475	292	3	]	]	X
cana-2475	292	4	g.	g.	PROPN
cana-2475	292	5	saranraj	saranraj	PROPN
cana-2475	292	6	,	,	PUNCT
cana-2475	292	7	et	et	PROPN
cana-2475	292	8	al	al	PROPN
cana-2475	292	9	.	.	PROPN
cana-2475	292	10	,	,	PUNCT
cana-2475	292	11	"	"	PUNCT
cana-2475	292	12	multi	multi	ADJ
cana-2475	292	13	-	-	ADJ
cana-2475	292	14	objective	objective	ADJ
cana-2475	292	15	male	male	ADJ
cana-2475	292	16	lion	lion	NOUN
cana-2475	292	17	optimization	optimization	NOUN
cana-2475	292	18	algorithm	algorithm	NOUN
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cana-2475	292	20	energy	energy	NOUN
cana-2475	292	21	-	-	PUNCT
cana-2475	292	22	efficient	efficient	ADJ
cana-2475	292	23	data	data	NOUN
cana-2475	292	24	aggregation	aggregation	NOUN
cana-2475	292	25	in	in	ADP
cana-2475	292	26	wireless	wireless	ADJ
cana-2475	292	27	sensor	sensor	NOUN
cana-2475	292	28	networks	network	NOUN
cana-2475	292	29	,	,	PUNCT
cana-2475	292	30	"	"	PUNCT
cana-2475	292	31	journal	journal	NOUN
cana-2475	292	32	of	of	ADP
cana-2475	292	33	network	network	NOUN
cana-2475	292	34	and	and	CCONJ
cana-2475	292	35	computer	computer	NOUN
cana-2475	292	36	applications	application	NOUN
cana-2475	292	37	,	,	PUNCT
cana-2475	292	38	vol	vol	NOUN
cana-2475	292	39	.	.	PROPN
cana-2475	292	40	203	203	NUM
cana-2475	292	41	,	,	PUNCT
cana-2475	292	42	no	no	INTJ
cana-2475	292	43	.	.	NOUN
cana-2475	292	44	1	1	NUM
cana-2475	292	45	,	,	PUNCT
cana-2475	292	46	pp	pp	ADJ
cana-2475	292	47	.	.	PUNCT
cana-2475	293	1	123	123	NUM
cana-2475	293	2	-	-	SYM
cana-2475	293	3	134	134	NUM
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cana-2475	293	5	2023	2023	NUM
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cana-2475	294	1	[	[	X
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cana-2475	294	3	]	]	PUNCT
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cana-2475	294	7	,	,	PUNCT
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cana-2475	294	9	al	al	PROPN
cana-2475	294	10	.	.	PROPN
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cana-2475	294	12	"	"	PUNCT
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cana-2475	294	15	swarm	swarm	NOUN
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cana-2475	294	20	in	in	ADP
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cana-2475	294	31	networks	network	NOUN
cana-2475	294	32	,	,	PUNCT
cana-2475	294	33	"	"	PUNCT
cana-2475	294	34	ieee	ieee	NOUN
cana-2475	294	35	access	access	NOUN
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cana-2475	295	2	-	-	SYM
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cana-2475	295	4	,	,	PUNCT
cana-2475	295	5	2023	2023	NUM
cana-2475	295	6	.	.	PUNCT
cana-2475	296	1	[	[	X
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cana-2475	296	11	"	"	PUNCT
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cana-2475	296	24	ad	ad	NOUN
cana-2475	296	25	-	-	PUNCT
cana-2475	296	26	hoc	hoc	X
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cana-2475	296	29	"	"	PUNCT
cana-2475	296	30	ad	ad	X
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cana-2475	296	34	vol	vol	NOUN
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cana-2475	296	40	3	3	NUM
cana-2475	296	41	,	,	PUNCT
cana-2475	296	42	pp	pp	ADJ
cana-2475	296	43	.	.	PUNCT
cana-2475	297	1	104	104	NUM
cana-2475	297	2	-	-	SYM
cana-2475	297	3	116	116	NUM
cana-2475	297	4	,	,	PUNCT
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cana-2475	298	23	-	-	PUNCT
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cana-2475	298	30	,	,	PUNCT
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cana-2475	299	18	in	in	ADP
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cana-2475	299	31	,	,	PUNCT
cana-2475	299	32	vol	vol	NOUN
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cana-2475	299	38	1	1	NUM
cana-2475	299	39	,	,	PUNCT
cana-2475	299	40	pp	pp	ADJ
cana-2475	299	41	.	.	PUNCT
cana-2475	300	1	38	38	NUM
cana-2475	300	2	-	-	SYM
cana-2475	300	3	48	48	NUM
cana-2475	300	4	,	,	PUNCT
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cana-2475	301	4	m.	m.	NOUN
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cana-2475	301	13	improved	improve	VERB
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cana-2475	301	44	.	.	PUNCT
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cana-2475	302	2	-	-	SYM
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cana-2475	302	4	,	,	PUNCT
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cana-2475	315	24	transactions	transaction	NOUN
cana-2475	315	25	on	on	ADP
cana-2475	315	26	dependable	dependable	ADJ
cana-2475	315	27	and	and	CCONJ
cana-2475	315	28	secure	secure	ADJ
cana-2475	315	29	computing	computing	NOUN
cana-2475	315	30	,	,	PUNCT
cana-2475	315	31	vol	vol	NOUN
cana-2475	315	32	.	.	PROPN
cana-2475	315	33	20	20	NUM
cana-2475	315	34	,	,	PUNCT
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cana-2475	315	36	.	.	NOUN
cana-2475	315	37	2	2	NUM
cana-2475	315	38	,	,	PUNCT
cana-2475	315	39	pp	pp	ADJ
cana-2475	315	40	.	.	PUNCT
cana-2475	316	1	247	247	NUM
cana-2475	316	2	-	-	SYM
cana-2475	316	3	258	258	NUM
cana-2475	316	4	,	,	PUNCT
cana-2475	316	5	2023	2023	NUM
cana-2475	316	6	.	.	PUNCT
cana-2475	317	1	[	[	X
cana-2475	317	2	18	18	NUM
cana-2475	317	3	]	]	X
cana-2475	317	4	s.	s.	PROPN
cana-2475	317	5	gomathi	gomathi	PROPN
cana-2475	317	6	and	and	CCONJ
cana-2475	317	7	c.	c.	PROPN
cana-2475	317	8	gopala	gopala	PROPN
cana-2475	317	9	krishnan	krishnan	PROPN
cana-2475	317	10	,	,	PUNCT
cana-2475	317	11	"	"	PUNCT
cana-2475	317	12	malicious	malicious	ADJ
cana-2475	317	13	node	node	ADJ
cana-2475	317	14	detection	detection	NOUN
cana-2475	317	15	and	and	CCONJ
cana-2475	317	16	secure	secure	VERB
cana-2475	317	17	data	data	NOUN
cana-2475	317	18	aggregation	aggregation	NOUN
cana-2475	317	19	in	in	ADP
cana-2475	317	20	wireless	wireless	ADJ
cana-2475	317	21	sensor	sensor	NOUN
cana-2475	317	22	networks	network	NOUN
cana-2475	317	23	,	,	PUNCT
cana-2475	317	24	"	"	PUNCT
cana-2475	317	25	journal	journal	NOUN
cana-2475	317	26	of	of	ADP
cana-2475	317	27	communications	communication	NOUN
cana-2475	317	28	and	and	CCONJ
cana-2475	317	29	networks	network	NOUN
cana-2475	317	30	,	,	PUNCT
cana-2475	317	31	vol	vol	NOUN
cana-2475	317	32	.	.	PROPN
cana-2475	317	33	25	25	NUM
cana-2475	317	34	,	,	PUNCT
cana-2475	317	35	no	no	INTJ
cana-2475	317	36	.	.	NOUN
cana-2475	317	37	1	1	NUM
cana-2475	317	38	,	,	PUNCT
cana-2475	317	39	pp	pp	ADJ
cana-2475	317	40	.	.	PUNCT
cana-2475	318	1	122	122	NUM
cana-2475	318	2	-	-	SYM
cana-2475	318	3	132	132	NUM
cana-2475	318	4	,	,	PUNCT
cana-2475	318	5	2023	2023	NUM
cana-2475	318	6	.	.	PUNCT
cana-2475	319	1	[	[	X
cana-2475	319	2	19	19	NUM
cana-2475	319	3	]	]	X
cana-2475	319	4	d.	d.	PROPN
cana-2475	319	5	laxma	laxma	PROPN
cana-2475	319	6	reddy	reddy	PROPN
cana-2475	319	7	and	and	CCONJ
cana-2475	319	8	c.	c.	PROPN
cana-2475	319	9	puttamadappa	puttamadappa	PROPN
cana-2475	319	10	,	,	PUNCT
cana-2475	319	11	"	"	PUNCT
cana-2475	319	12	glowworm	glowworm	NOUN
cana-2475	319	13	swarm	swarm	NOUN
cana-2475	319	14	optimization	optimization	NOUN
cana-2475	319	15	and	and	CCONJ
cana-2475	319	16	ant	ant	ADJ
cana-2475	319	17	colony	colony	NOUN
cana-2475	319	18	optimization	optimization	NOUN
cana-2475	319	19	for	for	ADP
cana-2475	319	20	energyefficient	energyefficient	NOUN
cana-2475	319	21	clustering	cluster	VERB
cana-2475	319	22	and	and	CCONJ
cana-2475	319	23	routing	routing	NOUN
cana-2475	319	24	in	in	ADP
cana-2475	319	25	wireless	wireless	ADJ
cana-2475	319	26	sensor	sensor	NOUN
cana-2475	319	27	networks	network	NOUN
cana-2475	319	28	,	,	PUNCT
cana-2475	319	29	"	"	PUNCT
cana-2475	319	30	ieee	ieee	NOUN
cana-2475	319	31	sensors	sensor	NOUN
cana-2475	319	32	journal	journal	PROPN
cana-2475	319	33	,	,	PUNCT
cana-2475	319	34	vol	vol	NOUN
cana-2475	319	35	.	.	PROPN
cana-2475	319	36	23	23	NUM
cana-2475	319	37	,	,	PUNCT
cana-2475	319	38	no	no	INTJ
cana-2475	319	39	.	.	NOUN
cana-2475	319	40	5	5	NUM
cana-2475	319	41	,	,	PUNCT
cana-2475	319	42	pp	pp	ADJ
cana-2475	319	43	.	.	PUNCT
cana-2475	319	44	3785	3785	NUM
cana-2475	319	45	-	-	SYM
cana-2475	319	46	3795	3795	NUM
cana-2475	319	47	,	,	PUNCT
cana-2475	319	48	2023	2023	NUM
cana-2475	319	49	.	.	PUNCT
cana-2475	320	1	[	[	X
cana-2475	320	2	20	20	NUM
cana-2475	320	3	]	]	PUNCT
cana-2475	320	4	s.	s.	PROPN
cana-2475	320	5	h.	h.	PROPN
cana-2475	320	6	gopalan	gopalan	PROPN
cana-2475	320	7	,	,	PUNCT
cana-2475	320	8	et	et	PROPN
cana-2475	320	9	al	al	PROPN
cana-2475	320	10	.	.	PROPN
cana-2475	320	11	,	,	PUNCT
cana-2475	320	12	"	"	PUNCT
cana-2475	320	13	hybrid	hybrid	ADJ
cana-2475	320	14	advisory	advisory	NOUN
cana-2475	320	15	weightbased	weightbase	VERB
cana-2475	320	16	dynamic	dynamic	ADJ
cana-2475	320	17	scheduling	scheduling	NOUN
cana-2475	320	18	framework	framework	NOUN
cana-2475	320	19	for	for	ADP
cana-2475	320	20	energyefficient	energyefficient	NOUN
cana-2475	320	21	data	datum	NOUN
cana-2475	320	22	aggregation	aggregation	NOUN
cana-2475	320	23	in	in	ADP
cana-2475	320	24	ad	ad	NOUN
cana-2475	320	25	-	-	PUNCT
cana-2475	320	26	hoc	hoc	X
cana-2475	320	27	networks	network	NOUN
cana-2475	320	28	,	,	PUNCT
cana-2475	320	29	"	"	PUNCT
cana-2475	320	30	journal	journal	NOUN
cana-2475	320	31	of	of	ADP
cana-2475	320	32	network	network	NOUN
cana-2475	320	33	and	and	CCONJ
cana-2475	320	34	computer	computer	NOUN
cana-2475	320	35	applications	application	NOUN
cana-2475	320	36	,	,	PUNCT
cana-2475	320	37	vol	vol	NOUN
cana-2475	320	38	.	.	PROPN
cana-2475	320	39	201	201	NUM
cana-2475	320	40	,	,	PUNCT
cana-2475	320	41	no	no	INTJ
cana-2475	320	42	.	.	NOUN
cana-2475	320	43	2	2	NUM
cana-2475	320	44	,	,	PUNCT
cana-2475	320	45	pp	pp	ADJ
cana-2475	320	46	.	.	PUNCT
cana-2475	321	1	98	98	NUM
cana-2475	321	2	-	-	SYM
cana-2475	321	3	110	110	NUM
cana-2475	321	4	,	,	PUNCT
cana-2475	321	5	2023	2023	NUM
cana-2475	321	6	.	.	PUNCT