id	sid	tid	token	lemma	pos
ajst-16324	1	1	academic	academic	ADJ
ajst-16324	1	2	journal	journal	NOUN
ajst-16324	1	3	of	of	ADP
ajst-16324	1	4	science	science	NOUN
ajst-16324	1	5	and	and	CCONJ
ajst-16324	1	6	technology	technology	NOUN
ajst-16324	1	7	issn	issn	NOUN
ajst-16324	1	8	:	:	PUNCT
ajst-16324	1	9	2771	2771	NUM
ajst-16324	1	10	-	-	SYM
ajst-16324	1	11	3032	3032	NUM
ajst-16324	1	12	|	|	NOUN
ajst-16324	1	13	vol	vol	NOUN
ajst-16324	1	14	.	.	PROPN
ajst-16324	2	1	9	9	NUM
ajst-16324	2	2	,	,	PUNCT
ajst-16324	2	3	no	no	INTJ
ajst-16324	2	4	.	.	NOUN
ajst-16324	2	5	1	1	NUM
ajst-16324	2	6	,	,	PUNCT
ajst-16324	2	7	2024	2024	NUM
ajst-16324	2	8	104	104	NUM
ajst-16324	2	9	coverage	coverage	NOUN
ajst-16324	2	10	optimization	optimization	NOUN
ajst-16324	2	11	strategy	strategy	NOUN
ajst-16324	2	12	of	of	ADP
ajst-16324	2	13	uwsns	uwsns	ADV
ajst-16324	2	14	based	base	VERB
ajst-16324	2	15	on	on	ADP
ajst-16324	2	16	improved	improved	ADJ
ajst-16324	2	17	sparrow	sparrow	NOUN
ajst-16324	2	18	search	search	NOUN
ajst-16324	2	19	algorithm	algorithm	PROPN
ajst-16324	2	20	lu	lu	PROPN
ajst-16324	2	21	liu1	liu1	PROPN
ajst-16324	2	22	,	,	PUNCT
ajst-16324	2	23	yuming	yuming	PROPN
ajst-16324	2	24	mao2	mao2	PROPN
ajst-16324	2	25	,	,	PUNCT
ajst-16324	2	26	*	*	SYM
ajst-16324	2	27	1	1	NUM
ajst-16324	2	28	school	school	NOUN
ajst-16324	2	29	of	of	ADP
ajst-16324	2	30	information	information	NOUN
ajst-16324	2	31	science	science	NOUN
ajst-16324	2	32	and	and	CCONJ
ajst-16324	2	33	electrical	electrical	ADJ
ajst-16324	2	34	engineering	engineering	NOUN
ajst-16324	2	35	,	,	PUNCT
ajst-16324	2	36	shandong	shandong	PROPN
ajst-16324	2	37	jiaotong	jiaotong	PROPN
ajst-16324	2	38	university	university	PROPN
ajst-16324	2	39	,	,	PUNCT
ajst-16324	2	40	jinan	jinan	PROPN
ajst-16324	2	41	250000	250000	NUM
ajst-16324	2	42	,	,	PUNCT
ajst-16324	2	43	china	china	PROPN
ajst-16324	2	44	2	2	NUM
ajst-16324	2	45	school	school	NOUN
ajst-16324	2	46	of	of	ADP
ajst-16324	2	47	information	information	NOUN
ajst-16324	2	48	science	science	NOUN
ajst-16324	2	49	and	and	CCONJ
ajst-16324	2	50	electrical	electrical	ADJ
ajst-16324	2	51	engineering	engineering	NOUN
ajst-16324	2	52	,	,	PUNCT
ajst-16324	2	53	shandong	shandong	PROPN
ajst-16324	2	54	jiaotong	jiaotong	PROPN
ajst-16324	2	55	university	university	PROPN
ajst-16324	2	56	,	,	PUNCT
ajst-16324	2	57	jinan	jinan	PROPN
ajst-16324	2	58	250000	250000	NUM
ajst-16324	2	59	,	,	PUNCT
ajst-16324	2	60	china	china	PROPN
ajst-16324	2	61	*	*	PUNCT
ajst-16324	2	62	corresponding	correspond	VERB
ajst-16324	2	63	author	author	NOUN
ajst-16324	2	64	:	:	PUNCT
ajst-16324	2	65	yuming	yuming	PROPN
ajst-16324	2	66	mao	mao	PROPN
ajst-16324	2	67	(	(	PUNCT
ajst-16324	2	68	email	email	NOUN
ajst-16324	2	69	:	:	PUNCT
ajst-16324	2	70	34293593@qq.com	34293593@qq.com	NUM
ajst-16324	2	71	)	)	PUNCT
ajst-16324	2	72	abstract	abstract	NOUN
ajst-16324	2	73	:	:	PUNCT
ajst-16324	2	74	randomly	randomly	ADV
ajst-16324	2	75	distributed	distribute	VERB
ajst-16324	2	76	nodes	node	NOUN
ajst-16324	2	77	lead	lead	VERB
ajst-16324	2	78	to	to	ADP
ajst-16324	2	79	low	low	ADJ
ajst-16324	2	80	coverage	coverage	NOUN
ajst-16324	2	81	rate	rate	NOUN
ajst-16324	2	82	and	and	CCONJ
ajst-16324	2	83	low	low	ADJ
ajst-16324	2	84	connectivity	connectivity	NOUN
ajst-16324	2	85	in	in	ADP
ajst-16324	2	86	the	the	DET
ajst-16324	2	87	underwater	underwater	ADJ
ajst-16324	2	88	wireless	wireless	ADJ
ajst-16324	2	89	sensor	sensor	NOUN
ajst-16324	2	90	networks	network	NOUN
ajst-16324	2	91	(	(	PUNCT
ajst-16324	2	92	uwsns	uwsns	NOUN
ajst-16324	2	93	)	)	PUNCT
ajst-16324	2	94	.	.	PUNCT
ajst-16324	3	1	an	an	DET
ajst-16324	3	2	uwsns	uwsns	ADJ
ajst-16324	3	3	node	node	ADJ
ajst-16324	3	4	coverage	coverage	NOUN
ajst-16324	3	5	optimization	optimization	NOUN
ajst-16324	3	6	strategy	strategy	NOUN
ajst-16324	3	7	based	base	VERB
ajst-16324	3	8	on	on	ADP
ajst-16324	3	9	the	the	DET
ajst-16324	3	10	improved	improved	ADJ
ajst-16324	3	11	sparrow	sparrow	NOUN
ajst-16324	3	12	search	search	NOUN
ajst-16324	3	13	algorithm	algorithm	NOUN
ajst-16324	3	14	(	(	PUNCT
ajst-16324	3	15	issa	issa	ADJ
ajst-16324	3	16	)	)	PUNCT
ajst-16324	3	17	is	be	AUX
ajst-16324	3	18	designed	design	VERB
ajst-16324	3	19	to	to	PART
ajst-16324	3	20	improve	improve	VERB
ajst-16324	3	21	coverage	coverage	NOUN
ajst-16324	3	22	rate	rate	NOUN
ajst-16324	3	23	and	and	CCONJ
ajst-16324	3	24	connectivity	connectivity	NOUN
ajst-16324	3	25	.	.	PUNCT
ajst-16324	4	1	the	the	DET
ajst-16324	4	2	issa	issa	ADJ
ajst-16324	4	3	algorithm	algorithm	NOUN
ajst-16324	4	4	effectively	effectively	ADV
ajst-16324	4	5	balances	balance	VERB
ajst-16324	4	6	the	the	DET
ajst-16324	4	7	global	global	ADJ
ajst-16324	4	8	and	and	CCONJ
ajst-16324	4	9	local	local	ADJ
ajst-16324	4	10	optimization	optimization	NOUN
ajst-16324	4	11	capabilities	capability	NOUN
ajst-16324	4	12	of	of	ADP
ajst-16324	4	13	nodes	node	NOUN
ajst-16324	4	14	by	by	ADP
ajst-16324	4	15	introducing	introduce	VERB
ajst-16324	4	16	nonlinear	nonlinear	ADJ
ajst-16324	4	17	inertia	inertia	NOUN
ajst-16324	4	18	weights	weight	NOUN
ajst-16324	4	19	and	and	CCONJ
ajst-16324	4	20	levy	levy	VERB
ajst-16324	4	21	flight	flight	NOUN
ajst-16324	4	22	strategy	strategy	NOUN
ajst-16324	4	23	,	,	PUNCT
ajst-16324	4	24	thereby	thereby	ADV
ajst-16324	4	25	avoiding	avoid	VERB
ajst-16324	4	26	the	the	DET
ajst-16324	4	27	algorithm	algorithm	NOUN
ajst-16324	4	28	from	from	ADP
ajst-16324	4	29	getting	getting	AUX
ajst-16324	4	30	trapped	trap	VERB
ajst-16324	4	31	in	in	ADP
ajst-16324	4	32	local	local	ADJ
ajst-16324	4	33	optima	optima	PROPN
ajst-16324	4	34	.	.	PUNCT
ajst-16324	5	1	simulation	simulation	NOUN
ajst-16324	5	2	experiments	experiment	NOUN
ajst-16324	5	3	demonstrate	demonstrate	VERB
ajst-16324	5	4	that	that	SCONJ
ajst-16324	5	5	issa	issa	PROPN
ajst-16324	5	6	achieves	achieve	VERB
ajst-16324	5	7	optimal	optimal	ADJ
ajst-16324	5	8	deployment	deployment	NOUN
ajst-16324	5	9	results	result	NOUN
ajst-16324	5	10	in	in	ADP
ajst-16324	5	11	a	a	DET
ajst-16324	5	12	short	short	ADJ
ajst-16324	5	13	time	time	NOUN
ajst-16324	5	14	.	.	PUNCT
ajst-16324	6	1	it	it	PRON
ajst-16324	6	2	not	not	PART
ajst-16324	6	3	only	only	ADV
ajst-16324	6	4	improves	improve	VERB
ajst-16324	6	5	network	network	NOUN
ajst-16324	6	6	coverage	coverage	NOUN
ajst-16324	6	7	but	but	CCONJ
ajst-16324	6	8	also	also	ADV
ajst-16324	6	9	maintains	maintain	VERB
ajst-16324	6	10	good	good	ADJ
ajst-16324	6	11	network	network	NOUN
ajst-16324	6	12	connectivity	connectivity	NOUN
ajst-16324	6	13	and	and	CCONJ
ajst-16324	6	14	reduces	reduce	VERB
ajst-16324	6	15	node	node	ADJ
ajst-16324	6	16	redundancy	redundancy	NOUN
ajst-16324	6	17	,	,	PUNCT
ajst-16324	6	18	thereby	thereby	ADV
ajst-16324	6	19	e	e	AUX
ajst-16324	6	20	ffectively	ffectively	ADV
ajst-16324	6	21	reducing	reduce	VERB
ajst-16324	6	22	network	network	NOUN
ajst-16324	6	23	energy	energy	NOUN
ajst-16324	6	24	consumption	consumption	NOUN
ajst-16324	6	25	.	.	PUNCT
ajst-16324	7	1	compared	compare	VERB
ajst-16324	7	2	to	to	ADP
ajst-16324	7	3	other	other	ADJ
ajst-16324	7	4	common	common	ADJ
ajst-16324	7	5	algorithms	algorithm	NOUN
ajst-16324	7	6	,	,	PUNCT
ajst-16324	7	7	issa	issa	PROPN
ajst-16324	7	8	can	can	AUX
ajst-16324	7	9	increase	increase	VERB
ajst-16324	7	10	network	network	NOUN
ajst-16324	7	11	coverage	coverage	NOUN
ajst-16324	7	12	up	up	ADP
ajst-16324	7	13	to	to	PART
ajst-16324	7	14	8.4	8.4	NUM
ajst-16324	7	15	%	%	NOUN
ajst-16324	7	16	and	and	CCONJ
ajst-16324	7	17	improve	improve	VERB
ajst-16324	7	18	network	network	NOUN
ajst-16324	7	19	utilization	utilization	NOUN
ajst-16324	7	20	up	up	ADP
ajst-16324	7	21	to11.8	to11.8	NUM
ajst-16324	7	22	%	%	NOUN
ajst-16324	7	23	,	,	PUNCT
ajst-16324	7	24	and	and	CCONJ
ajst-16324	7	25	meets	meet	VERB
ajst-16324	7	26	the	the	DET
ajst-16324	7	27	deployment	deployment	NOUN
ajst-16324	7	28	requirements	requirement	NOUN
ajst-16324	7	29	.	.	PUNCT
ajst-16324	8	1	keywords	keyword	NOUN
ajst-16324	8	2	:	:	PUNCT
ajst-16324	8	3	underwater	underwater	ADJ
ajst-16324	8	4	wireless	wireless	ADJ
ajst-16324	8	5	sensor	sensor	NOUN
ajst-16324	8	6	networks	network	NOUN
ajst-16324	8	7	;	;	PUNCT
ajst-16324	8	8	coverage	coverage	NOUN
ajst-16324	8	9	optimization	optimization	NOUN
ajst-16324	8	10	;	;	PUNCT
ajst-16324	8	11	sparrow	sparrow	NOUN
ajst-16324	8	12	search	search	NOUN
ajst-16324	8	13	algorithm	algorithm	NOUN
ajst-16324	8	14	;	;	PUNCT
ajst-16324	8	15	connectivity	connectivity	NOUN
ajst-16324	8	16	.	.	PUNCT
ajst-16324	9	1	1	1	X
ajst-16324	9	2	.	.	X
ajst-16324	9	3	introduction	introduction	NOUN
ajst-16324	9	4	an	an	DET
ajst-16324	9	5	underwater	underwater	ADJ
ajst-16324	9	6	wireless	wireless	ADJ
ajst-16324	9	7	sensor	sensor	NOUN
ajst-16324	9	8	network	network	NOUN
ajst-16324	9	9	(	(	PUNCT
ajst-16324	9	10	uwsn	uwsn	ADJ
ajst-16324	9	11	)	)	PUNCT
ajst-16324	9	12	is	be	AUX
ajst-16324	9	13	a	a	DET
ajst-16324	9	14	network	network	NOUN
ajst-16324	9	15	composed	compose	VERB
ajst-16324	9	16	of	of	ADP
ajst-16324	9	17	a	a	DET
ajst-16324	9	18	large	large	ADJ
ajst-16324	9	19	number	number	NOUN
ajst-16324	9	20	of	of	ADP
ajst-16324	9	21	sensor	sensor	NOUN
ajst-16324	9	22	nodes	node	NOUN
ajst-16324	9	23	randomly	randomly	ADV
ajst-16324	9	24	distributed	distribute	VERB
ajst-16324	9	25	underwater	underwater	NOUN
ajst-16324	9	26	,	,	PUNCT
ajst-16324	9	27	possessing	possess	VERB
ajst-16324	9	28	sensing	sense	VERB
ajst-16324	9	29	and	and	CCONJ
ajst-16324	9	30	communication	communication	NOUN
ajst-16324	9	31	capabilities	capability	NOUN
ajst-16324	9	32	,	,	PUNCT
ajst-16324	9	33	and	and	CCONJ
ajst-16324	9	34	collaborating	collaborate	VERB
ajst-16324	9	35	in	in	ADP
ajst-16324	9	36	a	a	DET
ajst-16324	9	37	selforganizing	selforganize	VERB
ajst-16324	9	38	manner[1,2	manner[1,2	NOUN
ajst-16324	9	39	]	]	PUNCT
ajst-16324	9	40	.	.	PUNCT
ajst-16324	10	1	uwsns	uwsns	PROPN
ajst-16324	10	2	can	can	AUX
ajst-16324	10	3	sense	sense	VERB
ajst-16324	10	4	the	the	DET
ajst-16324	10	5	state	state	NOUN
ajst-16324	10	6	of	of	ADP
ajst-16324	10	7	the	the	DET
ajst-16324	10	8	network	network	NOUN
ajst-16324	10	9	coverage	coverage	NOUN
ajst-16324	10	10	area	area	NOUN
ajst-16324	10	11	,	,	PUNCT
ajst-16324	10	12	and	and	CCONJ
ajst-16324	10	13	monitor	monitor	VERB
ajst-16324	10	14	objects	object	NOUN
ajst-16324	10	15	.	.	PUNCT
ajst-16324	11	1	currently	currently	ADV
ajst-16324	11	2	,	,	PUNCT
ajst-16324	11	3	uwsns	uwsns	PROPN
ajst-16324	11	4	have	have	AUX
ajst-16324	11	5	been	be	AUX
ajst-16324	11	6	widely	widely	ADV
ajst-16324	11	7	applied	apply	VERB
ajst-16324	11	8	in	in	ADP
ajst-16324	11	9	fields	field	NOUN
ajst-16324	11	10	such	such	ADJ
ajst-16324	11	11	as	as	ADP
ajst-16324	11	12	ocean	ocean	NOUN
ajst-16324	11	13	monitoring	monitoring	NOUN
ajst-16324	11	14	,	,	PUNCT
ajst-16324	11	15	maritime	maritime	ADJ
ajst-16324	11	16	disaster	disaster	NOUN
ajst-16324	11	17	early	early	ADJ
ajst-16324	11	18	warning	warning	NOUN
ajst-16324	11	19	,	,	PUNCT
ajst-16324	11	20	and	and	CCONJ
ajst-16324	11	21	national	national	ADJ
ajst-16324	11	22	defense	defense	NOUN
ajst-16324	11	23	security[3	security[3	PROPN
ajst-16324	11	24	]	]	X
ajst-16324	11	25	.	.	PUNCT
ajst-16324	12	1	in	in	ADP
ajst-16324	12	2	uwsns	uwsns	PROPN
ajst-16324	12	3	,	,	PUNCT
ajst-16324	12	4	network	network	NOUN
ajst-16324	12	5	coverage	coverage	NOUN
ajst-16324	12	6	can	can	AUX
ajst-16324	12	7	reflect	reflect	VERB
ajst-16324	12	8	the	the	DET
ajst-16324	12	9	service	service	NOUN
ajst-16324	12	10	quality	quality	NOUN
ajst-16324	12	11	of	of	ADP
ajst-16324	12	12	a	a	DET
ajst-16324	12	13	network[4	network[4	NOUN
ajst-16324	12	14	]	]	X
ajst-16324	12	15	,	,	PUNCT
ajst-16324	12	16	and	and	CCONJ
ajst-16324	12	17	how	how	SCONJ
ajst-16324	12	18	to	to	PART
ajst-16324	12	19	improve	improve	VERB
ajst-16324	12	20	the	the	DET
ajst-16324	12	21	networks	network	NOUN
ajst-16324	12	22	'	'	PART
ajst-16324	12	23	coverage	coverage	NOUN
ajst-16324	12	24	is	be	AUX
ajst-16324	12	25	a	a	DET
ajst-16324	12	26	hot	hot	ADJ
ajst-16324	12	27	research	research	NOUN
ajst-16324	12	28	topic	topic	NOUN
ajst-16324	12	29	.	.	PUNCT
ajst-16324	13	1	at	at	ADP
ajst-16324	13	2	present	present	ADJ
ajst-16324	13	3	,	,	PUNCT
ajst-16324	13	4	some	some	DET
ajst-16324	13	5	results	result	NOUN
ajst-16324	13	6	have	have	AUX
ajst-16324	13	7	been	be	AUX
ajst-16324	13	8	achieved	achieve	VERB
ajst-16324	13	9	to	to	PART
ajst-16324	13	10	improve	improve	VERB
ajst-16324	13	11	coverage	coverage	NOUN
ajst-16324	13	12	of	of	ADP
ajst-16324	13	13	uwsns[5,6	uwsns[5,6	NOUN
ajst-16324	13	14	]	]	PUNCT
ajst-16324	13	15	.	.	PUNCT
ajst-16324	14	1	arivudainambi	arivudainambi	PROPN
ajst-16324	14	2	proposed	propose	VERB
ajst-16324	14	3	a	a	DET
ajst-16324	14	4	cuckoo	cuckoo	NOUN
ajst-16324	14	5	search	search	NOUN
ajst-16324	14	6	algorithm	algorithm	NOUN
ajst-16324	14	7	to	to	PART
ajst-16324	14	8	improve	improve	VERB
ajst-16324	14	9	network	network	NOUN
ajst-16324	14	10	coverage	coverage	NOUN
ajst-16324	14	11	and	and	CCONJ
ajst-16324	14	12	reduce	reduce	VERB
ajst-16324	14	13	energy	energy	NOUN
ajst-16324	14	14	consumption	consumption	NOUN
ajst-16324	14	15	,	,	PUNCT
ajst-16324	14	16	aiming	aim	VERB
ajst-16324	14	17	to	to	PART
ajst-16324	14	18	enhance	enhance	VERB
ajst-16324	14	19	network	network	NOUN
ajst-16324	14	20	coverage	coverage	NOUN
ajst-16324	14	21	efficiency	efficiency	NOUN
ajst-16324	14	22	and	and	CCONJ
ajst-16324	14	23	prolong	prolong	VERB
ajst-16324	14	24	network	network	NOUN
ajst-16324	14	25	lifespan[7	lifespan[7	PROPN
ajst-16324	14	26	]	]	PUNCT
ajst-16324	14	27	.	.	PUNCT
ajst-16324	15	1	khan	khan	PROPN
ajst-16324	15	2	describes	describe	VERB
ajst-16324	15	3	an	an	DET
ajst-16324	15	4	adac	adac	PROPN
ajst-16324	15	5	-	-	PUNCT
ajst-16324	15	6	bc	bc	PROPN
ajst-16324	15	7	algorithm	algorithm	NOUN
ajst-16324	15	8	that	that	PRON
ajst-16324	15	9	enables	enable	VERB
ajst-16324	15	10	nodes	node	NOUN
ajst-16324	15	11	to	to	PART
ajst-16324	15	12	deploy	deploy	VERB
ajst-16324	15	13	and	and	CCONJ
ajst-16324	15	14	adjust	adjust	VERB
ajst-16324	15	15	independently	independently	ADV
ajst-16324	15	16	to	to	PART
ajst-16324	15	17	achieve	achieve	VERB
ajst-16324	15	18	optimal	optimal	ADJ
ajst-16324	15	19	coverage	coverage	NOUN
ajst-16324	15	20	in	in	ADP
ajst-16324	15	21	wireless	wireless	ADJ
ajst-16324	15	22	sensor	sensor	NOUN
ajst-16324	15	23	networks	network	NOUN
ajst-16324	15	24	where	where	SCONJ
ajst-16324	15	25	nodes	node	NOUN
ajst-16324	15	26	can	can	AUX
ajst-16324	15	27	move	move	VERB
ajst-16324	15	28	freely	freely	ADV
ajst-16324	15	29	and	and	CCONJ
ajst-16324	15	30	are	be	AUX
ajst-16324	15	31	evenly	evenly	ADV
ajst-16324	15	32	distributed[8	distributed[8	NOUN
ajst-16324	15	33	]	]	PUNCT
ajst-16324	15	34	.	.	PUNCT
ajst-16324	16	1	deng	deng	PROPN
ajst-16324	16	2	xiaohua	xiaohua	PROPN
ajst-16324	16	3	proposed	propose	VERB
ajst-16324	16	4	a	a	DET
ajst-16324	16	5	spring	spring	NOUN
ajst-16324	16	6	-	-	PUNCT
ajst-16324	16	7	based	base	VERB
ajst-16324	16	8	coverage	coverage	NOUN
ajst-16324	16	9	optimization	optimization	NOUN
ajst-16324	16	10	algorithm	algorithm	NOUN
ajst-16324	16	11	designed	design	VERB
ajst-16324	16	12	to	to	PART
ajst-16324	16	13	effectively	effectively	ADV
ajst-16324	16	14	avoid	avoid	VERB
ajst-16324	16	15	coverage	coverage	NOUN
ajst-16324	16	16	holes	hole	NOUN
ajst-16324	16	17	or	or	CCONJ
ajst-16324	16	18	abnormal	abnormal	ADJ
ajst-16324	16	19	structures[9	structures[9	ADP
ajst-16324	16	20	]	]	PUNCT
ajst-16324	16	21	.	.	PUNCT
ajst-16324	17	1	hashim	hashim	PROPN
ajst-16324	17	2	optimized	optimize	VERB
ajst-16324	17	3	the	the	DET
ajst-16324	17	4	relevant	relevant	ADJ
ajst-16324	17	5	parameters	parameter	NOUN
ajst-16324	17	6	of	of	ADP
ajst-16324	17	7	a	a	DET
ajst-16324	17	8	hybrid	hybrid	ADJ
ajst-16324	17	9	wireless	wireless	ADJ
ajst-16324	17	10	sensor	sensor	NOUN
ajst-16324	17	11	network	network	NOUN
ajst-16324	17	12	using	use	VERB
ajst-16324	17	13	the	the	DET
ajst-16324	17	14	artificial	artificial	ADJ
ajst-16324	17	15	bee	bee	NOUN
ajst-16324	17	16	colony	colony	NOUN
ajst-16324	17	17	algorithm	algorithm	NOUN
ajst-16324	17	18	while	while	SCONJ
ajst-16324	17	19	limiting	limit	VERB
ajst-16324	17	20	the	the	DET
ajst-16324	17	21	number	number	NOUN
ajst-16324	17	22	of	of	ADP
ajst-16324	17	23	sink	sink	NOUN
ajst-16324	17	24	nodes	node	NOUN
ajst-16324	17	25	.	.	PUNCT
ajst-16324	18	1	this	this	PRON
ajst-16324	18	2	not	not	PART
ajst-16324	18	3	only	only	ADV
ajst-16324	18	4	improved	improve	VERB
ajst-16324	18	5	the	the	DET
ajst-16324	18	6	network	network	NOUN
ajst-16324	18	7	's	's	PART
ajst-16324	18	8	coverage	coverage	NOUN
ajst-16324	18	9	performance	performance	NOUN
ajst-16324	18	10	but	but	CCONJ
ajst-16324	18	11	also	also	ADV
ajst-16324	18	12	reduced	reduce	VERB
ajst-16324	18	13	network	network	NOUN
ajst-16324	18	14	energy	energy	NOUN
ajst-16324	18	15	consumption[10	consumption[10	PROPN
ajst-16324	18	16	]	]	PUNCT
ajst-16324	18	17	.	.	PUNCT
ajst-16324	19	1	mao	mao	PROPN
ajst-16324	20	1	yuming	yuming	PROPN
ajst-16324	20	2	propsoed	propsoe	VERB
ajst-16324	20	3	an	an	DET
ajst-16324	20	4	anchor	anchor	NOUN
ajst-16324	20	5	node	node	NOUN
ajst-16324	20	6	deployment	deployment	NOUN
ajst-16324	20	7	algorithm	algorithm	NOUN
ajst-16324	20	8	based	base	VERB
ajst-16324	20	9	on	on	ADP
ajst-16324	20	10	the	the	DET
ajst-16324	20	11	spring	spring	NOUN
ajst-16324	20	12	system	system	NOUN
ajst-16324	20	13	model	model	NOUN
ajst-16324	20	14	.	.	PUNCT
ajst-16324	21	1	this	this	DET
ajst-16324	21	2	algorithm	algorithm	NOUN
ajst-16324	21	3	abstracts	abstract	VERB
ajst-16324	21	4	anchor	anchor	NOUN
ajst-16324	21	5	nodes	node	NOUN
ajst-16324	21	6	as	as	ADP
ajst-16324	21	7	interconnected	interconnected	ADJ
ajst-16324	21	8	nodes	node	NOUN
ajst-16324	21	9	through	through	ADP
ajst-16324	21	10	springs	spring	NOUN
ajst-16324	21	11	,	,	PUNCT
ajst-16324	21	12	allowing	allow	VERB
ajst-16324	21	13	some	some	DET
ajst-16324	21	14	anchor	anchor	NOUN
ajst-16324	21	15	nodes	node	NOUN
ajst-16324	21	16	to	to	PART
ajst-16324	21	17	undergo	undergo	VERB
ajst-16324	21	18	stretching	stretching	NOUN
ajst-16324	21	19	and	and	CCONJ
ajst-16324	21	20	contraction	contraction	NOUN
ajst-16324	21	21	movements	movement	NOUN
ajst-16324	21	22	under	under	ADP
ajst-16324	21	23	the	the	DET
ajst-16324	21	24	action	action	NOUN
ajst-16324	21	25	of	of	ADP
ajst-16324	21	26	a	a	DET
ajst-16324	21	27	resultant	resultant	NOUN
ajst-16324	21	28	force	force	NOUN
ajst-16324	21	29	,	,	PUNCT
ajst-16324	21	30	thereby	thereby	ADV
ajst-16324	21	31	improving	improve	VERB
ajst-16324	21	32	network	network	NOUN
ajst-16324	21	33	performance[11	performance[11	NOUN
ajst-16324	21	34	]	]	PUNCT
ajst-16324	21	35	.	.	PUNCT
ajst-16324	22	1	guo	guo	PROPN
ajst-16324	22	2	chao	chao	PROPN
ajst-16324	22	3	designed	design	VERB
ajst-16324	22	4	an	an	DET
ajst-16324	22	5	inertia	inertia	NOUN
ajst-16324	22	6	-	-	PUNCT
ajst-16324	22	7	weight	weight	NOUN
ajst-16324	22	8	-	-	PUNCT
ajst-16324	22	9	based	base	VERB
ajst-16324	22	10	simulated	simulate	VERB
ajst-16324	22	11	particle	particle	NOUN
ajst-16324	22	12	swarm	swarm	NOUN
ajst-16324	22	13	optimization	optimization	NOUN
ajst-16324	22	14	algorithm	algorithm	NOUN
ajst-16324	22	15	,	,	PUNCT
ajst-16324	22	16	enhancing	enhance	VERB
ajst-16324	22	17	global	global	ADJ
ajst-16324	22	18	search	search	NOUN
ajst-16324	22	19	capability	capability	NOUN
ajst-16324	22	20	,	,	PUNCT
ajst-16324	22	21	reducing	reduce	VERB
ajst-16324	22	22	algorithm	algorithm	NOUN
ajst-16324	22	23	runtime	runtime	NOUN
ajst-16324	22	24	,	,	PUNCT
ajst-16324	22	25	and	and	CCONJ
ajst-16324	22	26	minimizing	minimize	VERB
ajst-16324	22	27	repeated	repeat	VERB
ajst-16324	22	28	coverage[12	coverage[12	NOUN
ajst-16324	22	29	]	]	PUNCT
ajst-16324	22	30	.	.	PUNCT
ajst-16324	23	1	liu	liu	PROPN
ajst-16324	23	2	peng	peng	PROPN
ajst-16324	23	3	proposed	propose	VERB
ajst-16324	23	4	a	a	DET
ajst-16324	23	5	spark	spark	NOUN
ajst-16324	23	6	-	-	PUNCT
ajst-16324	23	7	based	base	VERB
ajst-16324	23	8	parallel	parallel	ADJ
ajst-16324	23	9	genetic	genetic	ADJ
ajst-16324	23	10	algorithm	algorithm	NOUN
ajst-16324	23	11	to	to	PART
ajst-16324	23	12	optimize	optimize	VERB
ajst-16324	23	13	the	the	DET
ajst-16324	23	14	deployment	deployment	NOUN
ajst-16324	23	15	of	of	ADP
ajst-16324	23	16	underwater	underwater	ADJ
ajst-16324	23	17	sensor	sensor	NOUN
ajst-16324	23	18	networks	network	NOUN
ajst-16324	23	19	by	by	ADP
ajst-16324	23	20	computing	compute	VERB
ajst-16324	23	21	the	the	DET
ajst-16324	23	22	extremum	extremum	NOUN
ajst-16324	23	23	of	of	ADP
ajst-16324	23	24	the	the	DET
ajst-16324	23	25	shubert	shubert	NOUN
ajst-16324	23	26	multi	multi	ADJ
ajst-16324	23	27	-	-	ADJ
ajst-16324	23	28	modal	modal	ADJ
ajst-16324	23	29	function[13	function[13	NOUN
ajst-16324	23	30	]	]	PUNCT
ajst-16324	23	31	.	.	PUNCT
ajst-16324	24	1	in	in	ADP
ajst-16324	24	2	3d	3d	PROPN
ajst-16324	24	3	space	space	NOUN
ajst-16324	24	4	,	,	PUNCT
ajst-16324	24	5	al	al	PROPN
ajst-16324	24	6	turjman	turjman	NOUN
ajst-16324	24	7	optimized	optimize	VERB
ajst-16324	24	8	the	the	DET
ajst-16324	24	9	deployment	deployment	NOUN
ajst-16324	24	10	of	of	ADP
ajst-16324	24	11	relay	relay	NOUN
ajst-16324	24	12	nodes	node	NOUN
ajst-16324	24	13	while	while	SCONJ
ajst-16324	24	14	considering	consider	VERB
ajst-16324	24	15	network	network	NOUN
ajst-16324	24	16	lifetime	lifetime	NOUN
ajst-16324	24	17	and	and	CCONJ
ajst-16324	24	18	reliability[14,15	reliability[14,15	PROPN
ajst-16324	24	19	]	]	PUNCT
ajst-16324	24	20	.	.	PUNCT
ajst-16324	25	1	this	this	DET
ajst-16324	25	2	article	article	NOUN
ajst-16324	25	3	proposes	propose	VERB
ajst-16324	25	4	a	a	DET
ajst-16324	25	5	coverage	coverage	NOUN
ajst-16324	25	6	algorithm	algorithm	NOUN
ajst-16324	25	7	for	for	ADP
ajst-16324	25	8	underwater	underwater	ADJ
ajst-16324	25	9	wireless	wireless	ADJ
ajst-16324	25	10	sensor	sensor	NOUN
ajst-16324	25	11	networks	network	NOUN
ajst-16324	25	12	based	base	VERB
ajst-16324	25	13	on	on	ADP
ajst-16324	25	14	the	the	DET
ajst-16324	25	15	improved	improved	ADJ
ajst-16324	25	16	sparrow	sparrow	NOUN
ajst-16324	25	17	search	search	NOUN
ajst-16324	25	18	algorithm	algorithm	NOUN
ajst-16324	25	19	(	(	PUNCT
ajst-16324	25	20	issa	issa	ADJ
ajst-16324	25	21	)	)	PUNCT
ajst-16324	25	22	to	to	PART
ajst-16324	25	23	eliminate	eliminate	VERB
ajst-16324	25	24	the	the	DET
ajst-16324	25	25	shortcomings	shortcoming	NOUN
ajst-16324	25	26	of	of	ADP
ajst-16324	25	27	existing	exist	VERB
ajst-16324	25	28	algorithms	algorithm	NOUN
ajst-16324	25	29	..	..	PUNCT
ajst-16324	25	30	by	by	ADP
ajst-16324	25	31	introducing	introduce	VERB
ajst-16324	25	32	nonlinear	nonlinear	ADJ
ajst-16324	25	33	inertia	inertia	NOUN
ajst-16324	25	34	weights	weight	NOUN
ajst-16324	25	35	and	and	CCONJ
ajst-16324	25	36	a	a	DET
ajst-16324	25	37	levy	levy	NOUN
ajst-16324	25	38	flight	flight	NOUN
ajst-16324	25	39	strategy	strategy	NOUN
ajst-16324	25	40	,	,	PUNCT
ajst-16324	25	41	issa	issa	PROPN
ajst-16324	25	42	balances	balance	VERB
ajst-16324	25	43	the	the	DET
ajst-16324	25	44	global	global	ADJ
ajst-16324	25	45	search	search	NOUN
ajst-16324	25	46	and	and	CCONJ
ajst-16324	25	47	local	local	ADJ
ajst-16324	25	48	exploitation	exploitation	NOUN
ajst-16324	25	49	processes	process	NOUN
ajst-16324	25	50	,	,	PUNCT
ajst-16324	25	51	overcoming	overcome	VERB
ajst-16324	25	52	the	the	DET
ajst-16324	25	53	issue	issue	NOUN
ajst-16324	25	54	of	of	ADP
ajst-16324	25	55	the	the	DET
ajst-16324	25	56	original	original	ADJ
ajst-16324	25	57	sparrow	sparrow	NOUN
ajst-16324	25	58	search	search	NOUN
ajst-16324	25	59	algorithm	algorithm	NOUN
ajst-16324	25	60	easily	easily	ADV
ajst-16324	25	61	getting	getting	AUX
ajst-16324	25	62	stuck	stick	VERB
ajst-16324	25	63	in	in	ADP
ajst-16324	25	64	local	local	ADJ
ajst-16324	25	65	optima	optima	NOUN
ajst-16324	25	66	and	and	CCONJ
ajst-16324	25	67	enhancing	enhance	VERB
ajst-16324	25	68	the	the	DET
ajst-16324	25	69	algorithm	algorithm	NOUN
ajst-16324	25	70	's	's	PART
ajst-16324	25	71	optimization	optimization	NOUN
ajst-16324	25	72	capability	capability	NOUN
ajst-16324	25	73	.	.	PUNCT
ajst-16324	26	1	through	through	ADP
ajst-16324	26	2	simulations	simulation	NOUN
ajst-16324	26	3	,	,	PUNCT
ajst-16324	26	4	this	this	DET
ajst-16324	26	5	algorithm	algorithm	NOUN
ajst-16324	26	6	demonstrates	demonstrate	VERB
ajst-16324	26	7	significant	significant	ADJ
ajst-16324	26	8	advantages	advantage	NOUN
ajst-16324	26	9	in	in	ADP
ajst-16324	26	10	optimizing	optimize	VERB
ajst-16324	26	11	uwsns	uwsns	ADJ
ajst-16324	26	12	deployment	deployment	NOUN
ajst-16324	26	13	,	,	PUNCT
ajst-16324	26	14	offering	offer	VERB
ajst-16324	26	15	both	both	PRON
ajst-16324	26	16	fast	fast	ADJ
ajst-16324	26	17	convergence	convergence	NOUN
ajst-16324	26	18	and	and	CCONJ
ajst-16324	26	19	excellent	excellent	ADJ
ajst-16324	26	20	deployment	deployment	NOUN
ajst-16324	26	21	effectiveness	effectiveness	NOUN
ajst-16324	26	22	and	and	CCONJ
ajst-16324	26	23	network	network	NOUN
ajst-16324	26	24	connectivity	connectivity	NOUN
ajst-16324	26	25	,	,	PUNCT
ajst-16324	26	26	thus	thus	ADV
ajst-16324	26	27	meeting	meet	VERB
ajst-16324	26	28	the	the	DET
ajst-16324	26	29	deployment	deployment	NOUN
ajst-16324	26	30	requirements	requirement	NOUN
ajst-16324	26	31	of	of	ADP
ajst-16324	26	32	uwsns	uwsns	NOUN
ajst-16324	26	33	.	.	PUNCT
ajst-16324	27	1	2	2	NUM
ajst-16324	27	2	.	.	X
ajst-16324	27	3	node	node	PROPN
ajst-16324	27	4	coverage	coverage	NOUN
ajst-16324	27	5	model	model	NOUN
ajst-16324	27	6	2.1	2.1	NUM
ajst-16324	27	7	.	.	PUNCT
ajst-16324	28	1	description	description	NOUN
ajst-16324	28	2	of	of	ADP
ajst-16324	28	3	underwater	underwater	ADJ
ajst-16324	28	4	space	space	NOUN
ajst-16324	28	5	coverage	coverage	NOUN
ajst-16324	28	6	problem	problem	NOUN
ajst-16324	28	7	in	in	ADP
ajst-16324	28	8	practical	practical	ADJ
ajst-16324	28	9	applications	application	NOUN
ajst-16324	28	10	,	,	PUNCT
ajst-16324	28	11	in	in	ADP
ajst-16324	28	12	order	order	NOUN
ajst-16324	28	13	to	to	PART
ajst-16324	28	14	improve	improve	VERB
ajst-16324	28	15	the	the	DET
ajst-16324	28	16	coverage	coverage	NOUN
ajst-16324	28	17	rate	rate	NOUN
ajst-16324	28	18	of	of	ADP
ajst-16324	28	19	uwsns	uwsns	NOUN
ajst-16324	28	20	,	,	PUNCT
ajst-16324	28	21	it	it	PRON
ajst-16324	28	22	is	be	AUX
ajst-16324	28	23	necessary	necessary	ADJ
ajst-16324	28	24	to	to	PART
ajst-16324	28	25	solve	solve	VERB
ajst-16324	28	26	the	the	DET
ajst-16324	28	27	coverage	coverage	NOUN
ajst-16324	28	28	hole	hole	NOUN
ajst-16324	28	29	problem	problem	NOUN
ajst-16324	28	30	caused	cause	VERB
ajst-16324	28	31	by	by	ADP
ajst-16324	28	32	randomly	randomly	ADV
ajst-16324	28	33	throwing	throw	VERB
ajst-16324	28	34	sensor	sensor	NOUN
ajst-16324	28	35	nodes	node	NOUN
ajst-16324	28	36	.	.	PUNCT
ajst-16324	29	1	the	the	DET
ajst-16324	29	2	solution	solution	NOUN
ajst-16324	29	3	is	be	AUX
ajst-16324	29	4	to	to	PART
ajst-16324	29	5	use	use	VERB
ajst-16324	29	6	the	the	DET
ajst-16324	29	7	relevant	relevant	ADJ
ajst-16324	29	8	algorithms	algorithm	NOUN
ajst-16324	29	9	for	for	ADP
ajst-16324	29	10	overlapping	overlap	VERB
ajst-16324	29	11	coverage	coverage	NOUN
ajst-16324	29	12	,	,	PUNCT
ajst-16324	29	13	eliminating	eliminate	VERB
ajst-16324	29	14	holes	hole	NOUN
ajst-16324	29	15	,	,	PUNCT
ajst-16324	29	16	and	and	CCONJ
ajst-16324	29	17	enhancing	enhance	VERB
ajst-16324	29	18	network	network	NOUN
ajst-16324	29	19	coverage	coverage	NOUN
ajst-16324	29	20	,	,	PUNCT
ajst-16324	29	21	so	so	SCONJ
ajst-16324	29	22	as	as	SCONJ
ajst-16324	29	23	to	to	PART
ajst-16324	29	24	achieve	achieve	VERB
ajst-16324	29	25	effective	effective	ADJ
ajst-16324	29	26	monitoring	monitoring	NOUN
ajst-16324	29	27	of	of	ADP
ajst-16324	29	28	underwater	underwater	ADJ
ajst-16324	29	29	areas	area	NOUN
ajst-16324	29	30	.	.	PUNCT
ajst-16324	30	1	in	in	ADP
ajst-16324	30	2	this	this	DET
ajst-16324	30	3	paper	paper	NOUN
ajst-16324	30	4	,	,	PUNCT
ajst-16324	30	5	a	a	DET
ajst-16324	30	6	method	method	NOUN
ajst-16324	30	7	of	of	ADP
ajst-16324	30	8	discretization	discretization	NOUN
ajst-16324	30	9	is	be	AUX
ajst-16324	30	10	proposed	propose	VERB
ajst-16324	30	11	,	,	PUNCT
ajst-16324	30	12	which	which	PRON
ajst-16324	30	13	draws	draw	VERB
ajst-16324	30	14	on	on	ADP
ajst-16324	30	15	the	the	DET
ajst-16324	30	16	idea	idea	NOUN
ajst-16324	30	17	of	of	ADP
ajst-16324	30	18	grid	grid	NOUN
ajst-16324	30	19	division	division	NOUN
ajst-16324	30	20	of	of	ADP
ajst-16324	30	21	two	two	NUM
ajst-16324	30	22	-	-	PUNCT
ajst-16324	30	23	dimensional	dimensional	ADJ
ajst-16324	30	24	plane	plane	NOUN
ajst-16324	30	25	coverage	coverage	NOUN
ajst-16324	30	26	.	.	PUNCT
ajst-16324	31	1	the	the	DET
ajst-16324	31	2	underwater	underwater	ADJ
ajst-16324	31	3	monitoring	monitoring	NOUN
ajst-16324	31	4	area	area	NOUN
ajst-16324	31	5	is	be	AUX
ajst-16324	31	6	divided	divide	VERB
ajst-16324	31	7	into	into	ADP
ajst-16324	31	8	several	several	ADJ
ajst-16324	31	9	grids	grid	NOUN
ajst-16324	31	10	,	,	PUNCT
ajst-16324	31	11	and	and	CCONJ
ajst-16324	31	12	the	the	DET
ajst-16324	31	13	target	target	NOUN
ajst-16324	31	14	points	point	NOUN
ajst-16324	31	15	are	be	AUX
ajst-16324	31	16	abstracted	abstract	VERB
ajst-16324	31	17	into	into	ADP
ajst-16324	31	18	grid	grid	NOUN
ajst-16324	31	19	points	point	NOUN
ajst-16324	31	20	,	,	PUNCT
ajst-16324	31	21	which	which	PRON
ajst-16324	31	22	are	be	AUX
ajst-16324	31	23	dealt	deal	VERB
ajst-16324	31	24	with	with	ADP
ajst-16324	31	25	in	in	ADP
ajst-16324	31	26	the	the	DET
ajst-16324	31	27	form	form	NOUN
ajst-16324	31	28	of	of	ADP
ajst-16324	31	29	point	point	NOUN
ajst-16324	31	30	coverage	coverage	NOUN
ajst-16324	31	31	problem	problem	NOUN
ajst-16324	31	32	.	.	PUNCT
ajst-16324	32	1	this	this	DET
ajst-16324	32	2	method	method	NOUN
ajst-16324	32	3	effectively	effectively	ADV
ajst-16324	32	4	resolves	resolve	VERB
ajst-16324	32	5	the	the	DET
ajst-16324	32	6	underwater	underwater	ADJ
ajst-16324	32	7	area	area	NOUN
ajst-16324	32	8	coverage	coverage	NOUN
ajst-16324	32	9	problem	problem	NOUN
ajst-16324	32	10	,	,	PUNCT
ajst-16324	32	11	improving	improve	VERB
ajst-16324	32	12	network	network	NOUN
ajst-16324	32	13	coverage	coverage	NOUN
ajst-16324	32	14	and	and	CCONJ
ajst-16324	32	15	monitoring	monitoring	NOUN
ajst-16324	32	16	effectiveness	effectiveness	NOUN
ajst-16324	32	17	.	.	PUNCT
ajst-16324	33	1	in	in	ADP
ajst-16324	33	2	practical	practical	ADJ
ajst-16324	33	3	applications	application	NOUN
ajst-16324	33	4	,	,	PUNCT
ajst-16324	33	5	in	in	ADP
ajst-16324	33	6	order	order	NOUN
ajst-16324	33	7	to	to	PART
ajst-16324	33	8	improve	improve	VERB
ajst-16324	33	9	the	the	DET
ajst-16324	33	10	coverage	coverage	NOUN
ajst-16324	33	11	rate	rate	NOUN
ajst-16324	33	12	of	of	ADP
ajst-16324	33	13	uwsns	uwsns	NOUN
ajst-16324	33	14	,	,	PUNCT
ajst-16324	33	15	it	it	PRON
ajst-16324	33	16	is	be	AUX
ajst-16324	33	17	necessary	necessary	ADJ
ajst-16324	33	18	to	to	PART
ajst-16324	33	19	solve	solve	VERB
ajst-16324	33	20	the	the	DET
ajst-16324	33	21	coverage	coverage	NOUN
ajst-16324	33	22	hole	hole	NOUN
ajst-16324	33	23	problem	problem	NOUN
ajst-16324	33	24	caused	cause	VERB
ajst-16324	33	25	by	by	ADP
ajst-16324	33	26	randomly	randomly	ADV
ajst-16324	33	27	throwing	throw	VERB
ajst-16324	33	28	sensor	sensor	NOUN
ajst-16324	33	29	nodes	node	NOUN
ajst-16324	33	30	.	.	PUNCT
ajst-16324	34	1	the	the	DET
ajst-16324	34	2	solution	solution	NOUN
ajst-16324	34	3	is	be	AUX
ajst-16324	34	4	to	to	PART
ajst-16324	34	5	use	use	VERB
ajst-16324	34	6	the	the	DET
ajst-16324	34	7	relevant	relevant	ADJ
ajst-16324	34	8	algorithms	algorithm	NOUN
ajst-16324	34	9	105	105	NUM
ajst-16324	34	10	for	for	ADP
ajst-16324	34	11	overlapping	overlap	VERB
ajst-16324	34	12	coverage	coverage	NOUN
ajst-16324	34	13	,	,	PUNCT
ajst-16324	34	14	eliminating	eliminate	VERB
ajst-16324	34	15	holes	hole	NOUN
ajst-16324	34	16	,	,	PUNCT
ajst-16324	34	17	and	and	CCONJ
ajst-16324	34	18	enhancing	enhance	VERB
ajst-16324	34	19	network	network	NOUN
ajst-16324	34	20	coverage	coverage	NOUN
ajst-16324	34	21	,	,	PUNCT
ajst-16324	34	22	so	so	SCONJ
ajst-16324	34	23	as	as	SCONJ
ajst-16324	34	24	to	to	PART
ajst-16324	34	25	achieve	achieve	VERB
ajst-16324	34	26	effective	effective	ADJ
ajst-16324	34	27	monitoring	monitoring	NOUN
ajst-16324	34	28	of	of	ADP
ajst-16324	34	29	underwater	underwater	ADJ
ajst-16324	34	30	areas	area	NOUN
ajst-16324	34	31	.	.	PUNCT
ajst-16324	35	1	in	in	ADP
ajst-16324	35	2	this	this	DET
ajst-16324	35	3	paper	paper	NOUN
ajst-16324	35	4	,	,	PUNCT
ajst-16324	35	5	a	a	DET
ajst-16324	35	6	method	method	NOUN
ajst-16324	35	7	of	of	ADP
ajst-16324	35	8	discretization	discretization	NOUN
ajst-16324	35	9	is	be	AUX
ajst-16324	35	10	proposed	propose	VERB
ajst-16324	35	11	,	,	PUNCT
ajst-16324	35	12	which	which	PRON
ajst-16324	35	13	draws	draw	VERB
ajst-16324	35	14	on	on	ADP
ajst-16324	35	15	the	the	DET
ajst-16324	35	16	idea	idea	NOUN
ajst-16324	35	17	of	of	ADP
ajst-16324	35	18	grid	grid	NOUN
ajst-16324	35	19	division	division	NOUN
ajst-16324	35	20	of	of	ADP
ajst-16324	35	21	twodimensional	twodimensional	ADJ
ajst-16324	35	22	plane	plane	NOUN
ajst-16324	35	23	coverage	coverage	NOUN
ajst-16324	35	24	.	.	PUNCT
ajst-16324	36	1	the	the	DET
ajst-16324	36	2	underwater	underwater	ADJ
ajst-16324	36	3	monitoring	monitoring	NOUN
ajst-16324	36	4	area	area	NOUN
ajst-16324	36	5	is	be	AUX
ajst-16324	36	6	divided	divide	VERB
ajst-16324	36	7	into	into	ADP
ajst-16324	36	8	several	several	ADJ
ajst-16324	36	9	grids	grid	NOUN
ajst-16324	36	10	,	,	PUNCT
ajst-16324	36	11	and	and	CCONJ
ajst-16324	36	12	the	the	DET
ajst-16324	36	13	target	target	NOUN
ajst-16324	36	14	points	point	NOUN
ajst-16324	36	15	are	be	AUX
ajst-16324	36	16	abstracted	abstract	VERB
ajst-16324	36	17	into	into	ADP
ajst-16324	36	18	grid	grid	NOUN
ajst-16324	36	19	points	point	NOUN
ajst-16324	36	20	,	,	PUNCT
ajst-16324	36	21	which	which	PRON
ajst-16324	36	22	are	be	AUX
ajst-16324	36	23	dealt	deal	VERB
ajst-16324	36	24	with	with	ADP
ajst-16324	36	25	in	in	ADP
ajst-16324	36	26	the	the	DET
ajst-16324	36	27	form	form	NOUN
ajst-16324	36	28	of	of	ADP
ajst-16324	36	29	point	point	NOUN
ajst-16324	36	30	coverage	coverage	NOUN
ajst-16324	36	31	problem	problem	NOUN
ajst-16324	36	32	.	.	PUNCT
ajst-16324	37	1	this	this	DET
ajst-16324	37	2	method	method	NOUN
ajst-16324	37	3	effectively	effectively	ADV
ajst-16324	37	4	resolves	resolve	VERB
ajst-16324	37	5	the	the	DET
ajst-16324	37	6	underwater	underwater	ADJ
ajst-16324	37	7	area	area	NOUN
ajst-16324	37	8	coverage	coverage	NOUN
ajst-16324	37	9	problem	problem	NOUN
ajst-16324	37	10	,	,	PUNCT
ajst-16324	37	11	improving	improve	VERB
ajst-16324	37	12	network	network	NOUN
ajst-16324	37	13	coverage	coverage	NOUN
ajst-16324	37	14	and	and	CCONJ
ajst-16324	37	15	monitoring	monitoring	NOUN
ajst-16324	37	16	effectiveness	effectiveness	NOUN
ajst-16324	37	17	.	.	PUNCT
ajst-16324	38	1	2.2	2.2	NUM
ajst-16324	38	2	.	.	X
ajst-16324	38	3	underwater	underwater	ADJ
ajst-16324	38	4	wireless	wireless	ADJ
ajst-16324	38	5	sensor	sensor	NOUN
ajst-16324	38	6	node	node	NOUN
ajst-16324	38	7	sensing	sense	VERB
ajst-16324	38	8	model	model	NOUN
ajst-16324	38	9	the	the	DET
ajst-16324	38	10	sensing	sense	VERB
ajst-16324	38	11	model	model	NOUN
ajst-16324	38	12	is	be	AUX
ajst-16324	38	13	a	a	DET
ajst-16324	38	14	theoretical	theoretical	ADJ
ajst-16324	38	15	model	model	NOUN
ajst-16324	38	16	,	,	PUNCT
ajst-16324	38	17	which	which	PRON
ajst-16324	38	18	is	be	AUX
ajst-16324	38	19	used	use	VERB
ajst-16324	38	20	to	to	PART
ajst-16324	38	21	describe	describe	VERB
ajst-16324	38	22	the	the	DET
ajst-16324	38	23	abstract	abstract	ADJ
ajst-16324	38	24	features	feature	NOUN
ajst-16324	38	25	of	of	ADP
ajst-16324	38	26	the	the	DET
ajst-16324	38	27	sensing	sense	VERB
ajst-16324	38	28	range	range	NOUN
ajst-16324	38	29	and	and	CCONJ
ajst-16324	38	30	sensing	sense	VERB
ajst-16324	38	31	strength	strength	NOUN
ajst-16324	38	32	of	of	ADP
ajst-16324	38	33	nodes	node	NOUN
ajst-16324	38	34	in	in	ADP
ajst-16324	38	35	uwsns	uwsns	NOUN
ajst-16324	38	36	.	.	PUNCT
ajst-16324	39	1	therefore	therefore	ADV
ajst-16324	39	2	,	,	PUNCT
ajst-16324	39	3	the	the	DET
ajst-16324	39	4	primary	primary	ADJ
ajst-16324	39	5	task	task	NOUN
ajst-16324	39	6	of	of	ADP
ajst-16324	39	7	uwsns	uwsns	ADJ
ajst-16324	39	8	research	research	NOUN
ajst-16324	39	9	is	be	AUX
ajst-16324	39	10	to	to	PART
ajst-16324	39	11	establish	establish	VERB
ajst-16324	39	12	appropriate	appropriate	ADJ
ajst-16324	39	13	node	node	ADJ
ajst-16324	39	14	sensing	sense	VERB
ajst-16324	39	15	models	model	NOUN
ajst-16324	39	16	that	that	PRON
ajst-16324	39	17	facilitate	facilitate	VERB
ajst-16324	39	18	the	the	DET
ajst-16324	39	19	optimization	optimization	NOUN
ajst-16324	39	20	of	of	ADP
ajst-16324	39	21	node	node	ADJ
ajst-16324	39	22	deployment	deployment	NOUN
ajst-16324	39	23	and	and	CCONJ
ajst-16324	39	24	coverage	coverage	NOUN
ajst-16324	39	25	.	.	PUNCT
ajst-16324	40	1	in	in	ADP
ajst-16324	40	2	this	this	DET
ajst-16324	40	3	paper	paper	NOUN
ajst-16324	40	4	,	,	PUNCT
ajst-16324	40	5	the	the	DET
ajst-16324	40	6	underwater	underwater	ADJ
ajst-16324	40	7	spherical	spherical	ADJ
ajst-16324	40	8	binary	binary	NOUN
ajst-16324	40	9	perception	perception	NOUN
ajst-16324	40	10	model	model	NOUN
ajst-16324	40	11	is	be	AUX
ajst-16324	40	12	adopted	adopt	VERB
ajst-16324	40	13	,	,	PUNCT
ajst-16324	40	14	as	as	SCONJ
ajst-16324	40	15	shown	show	VERB
ajst-16324	40	16	in	in	ADP
ajst-16324	40	17	figure	figure	NOUN
ajst-16324	40	18	1	1	NUM
ajst-16324	40	19	:	:	PUNCT
ajst-16324	40	20	figure	figure	NOUN
ajst-16324	40	21	1	1	NUM
ajst-16324	40	22	.	.	X
ajst-16324	41	1	underwater	underwater	ADJ
ajst-16324	41	2	wireless	wireless	ADJ
ajst-16324	41	3	sensor	sensor	NOUN
ajst-16324	41	4	node	node	NOUN
ajst-16324	41	5	sensing	sense	VERB
ajst-16324	41	6	model	model	NOUN
ajst-16324	41	7	in	in	ADP
ajst-16324	41	8	the	the	DET
ajst-16324	41	9	underwater	underwater	ADJ
ajst-16324	41	10	space	space	NOUN
ajst-16324	41	11	,	,	PUNCT
ajst-16324	41	12	the	the	DET
ajst-16324	41	13	coordinates	coordinate	NOUN
ajst-16324	41	14	of	of	ADP
ajst-16324	41	15	the	the	DET
ajst-16324	41	16	moving	move	VERB
ajst-16324	41	17	target	target	NOUN
ajst-16324	41	18	q	q	NOUN
ajst-16324	41	19	are	be	AUX
ajst-16324	41	20	represented	represent	VERB
ajst-16324	41	21	as	as	ADP
ajst-16324	41	22	(	(	PUNCT
ajst-16324	41	23	xq	xq	PROPN
ajst-16324	41	24	,	,	PUNCT
ajst-16324	41	25	yq	yq	PROPN
ajst-16324	41	26	,	,	PUNCT
ajst-16324	41	27	zq	zq	PROPN
ajst-16324	41	28	)	)	PUNCT
ajst-16324	41	29	,	,	PUNCT
ajst-16324	41	30	and	and	CCONJ
ajst-16324	41	31	the	the	DET
ajst-16324	41	32	coordinates	coordinate	NOUN
ajst-16324	41	33	of	of	ADP
ajst-16324	41	34	the	the	DET
ajst-16324	41	35	nth	nth	NOUN
ajst-16324	41	36	sensor	sensor	NOUN
ajst-16324	41	37	node	node	NOUN
ajst-16324	41	38	are	be	AUX
ajst-16324	41	39	given	give	VERB
ajst-16324	41	40	as	as	ADP
ajst-16324	41	41	(	(	PUNCT
ajst-16324	41	42	xn	xn	PROPN
ajst-16324	41	43	,	,	PUNCT
ajst-16324	41	44	yn	yn	PROPN
ajst-16324	41	45	,	,	PUNCT
ajst-16324	41	46	zn	zn	PROPN
ajst-16324	41	47	)	)	PUNCT
ajst-16324	41	48	.	.	PUNCT
ajst-16324	42	1	the	the	DET
ajst-16324	42	2	euclidean	euclidean	ADJ
ajst-16324	42	3	distance	distance	NOUN
ajst-16324	42	4	between	between	ADP
ajst-16324	42	5	two	two	NUM
ajst-16324	42	6	points	point	NOUN
ajst-16324	42	7	,	,	PUNCT
ajst-16324	42	8	denoted	denote	VERB
ajst-16324	42	9	as	as	ADP
ajst-16324	42	10	d(s	d(s	PROPN
ajst-16324	42	11	,	,	PUNCT
ajst-16324	42	12	q	q	NOUN
ajst-16324	42	13	)	)	PUNCT
ajst-16324	42	14	,	,	PUNCT
ajst-16324	42	15	signifies	signify	VERB
ajst-16324	42	16	the	the	DET
ajst-16324	42	17	straight	straight	ADJ
ajst-16324	42	18	-	-	PUNCT
ajst-16324	42	19	line	line	NOUN
ajst-16324	42	20	distance	distance	NOUN
ajst-16324	42	21	between	between	ADP
ajst-16324	42	22	them	they	PRON
ajst-16324	42	23	.	.	PUNCT
ajst-16324	43	1	when	when	SCONJ
ajst-16324	43	2	d(s	d(s	PROPN
ajst-16324	43	3	,	,	PUNCT
ajst-16324	43	4	q	q	X
ajst-16324	43	5	)	)	PUNCT
ajst-16324	43	6	is	be	AUX
ajst-16324	43	7	less	less	ADJ
ajst-16324	43	8	than	than	ADP
ajst-16324	43	9	or	or	CCONJ
ajst-16324	43	10	equal	equal	ADJ
ajst-16324	43	11	to	to	ADP
ajst-16324	43	12	the	the	DET
ajst-16324	43	13	sensing	sense	VERB
ajst-16324	43	14	radius	radius	NOUN
ajst-16324	43	15	r	r	NOUN
ajst-16324	43	16	,	,	PUNCT
ajst-16324	43	17	sensor	sensor	NOUN
ajst-16324	43	18	node	node	NOUN
ajst-16324	43	19	sn	sn	PROPN
ajst-16324	43	20	can	can	AUX
ajst-16324	43	21	perceive	perceive	VERB
ajst-16324	43	22	the	the	DET
ajst-16324	43	23	moving	move	VERB
ajst-16324	43	24	target	target	NOUN
ajst-16324	43	25	q	q	NOUN
ajst-16324	43	26	;	;	PUNCT
ajst-16324	43	27	otherwise	otherwise	ADV
ajst-16324	43	28	,	,	PUNCT
ajst-16324	43	29	it	it	PRON
ajst-16324	43	30	can	can	AUX
ajst-16324	43	31	not	not	PART
ajst-16324	43	32	perceive	perceive	VERB
ajst-16324	43	33	it	it	PRON
ajst-16324	43	34	.	.	PUNCT
ajst-16324	44	1	the	the	DET
ajst-16324	44	2	expression	expression	NOUN
ajst-16324	44	3	for	for	ADP
ajst-16324	44	4	d(s	d(s	PROPN
ajst-16324	44	5	,	,	PUNCT
ajst-16324	44	6	q	q	X
ajst-16324	44	7	)	)	PUNCT
ajst-16324	44	8	is	be	AUX
ajst-16324	44	9	as	as	SCONJ
ajst-16324	44	10	follows	follow	VERB
ajst-16324	44	11	:	:	PUNCT
ajst-16324	44	12	2	2	NUM
ajst-16324	44	13	2	2	NUM
ajst-16324	44	14	2	2	NUM
ajst-16324	44	15	(	(	PUNCT
ajst-16324	44	16	,	,	PUNCT
ajst-16324	44	17	)	)	PUNCT
ajst-16324	44	18	(	(	PUNCT
ajst-16324	44	19	)	)	PUNCT
ajst-16324	44	20	(	(	PUNCT
ajst-16324	44	21	)	)	PUNCT
ajst-16324	44	22	(	(	PUNCT
ajst-16324	44	23	)	)	PUNCT
ajst-16324	44	24	q	q	PROPN
ajst-16324	45	1	n	n	PROPN
ajst-16324	45	2	q	q	PROPN
ajst-16324	45	3	n	n	INTJ
ajst-16324	45	4	q	q	NOUN
ajst-16324	45	5	nd	nd	NOUN
ajst-16324	45	6	s	s	X
ajst-16324	45	7	q	q	NOUN
ajst-16324	45	8	x	x	PUNCT
ajst-16324	45	9	x	x	PUNCT
ajst-16324	45	10	y	y	PROPN
ajst-16324	45	11	y	y	PROPN
ajst-16324	45	12	z	z	PROPN
ajst-16324	45	13	z	z	PROPN
ajst-16324	45	14			PROPN
ajst-16324	45	15			VERB
ajst-16324	45	16			PROPN
ajst-16324	45	17			VERB
ajst-16324	45	18			NOUN
ajst-16324	45	19	(	(	PUNCT
ajst-16324	45	20	1	1	NUM
ajst-16324	45	21	)	)	PUNCT
ajst-16324	45	22	the	the	DET
ajst-16324	45	23	probability	probability	NOUN
ajst-16324	45	24	that	that	SCONJ
ajst-16324	45	25	the	the	DET
ajst-16324	45	26	moving	move	VERB
ajst-16324	45	27	target	target	NOUN
ajst-16324	45	28	q	q	NOUN
ajst-16324	45	29	is	be	AUX
ajst-16324	45	30	detected	detect	VERB
ajst-16324	45	31	by	by	ADP
ajst-16324	45	32	the	the	DET
ajst-16324	45	33	nth	nth	PROPN
ajst-16324	45	34	sensor	sensor	NOUN
ajst-16324	45	35	node	node	PROPN
ajst-16324	45	36	sn	sn	PROPN
ajst-16324	45	37	is	be	AUX
ajst-16324	45	38	denoted	denote	VERB
ajst-16324	45	39	as	as	ADP
ajst-16324	45	40	p(s	p(s	NOUN
ajst-16324	45	41	,	,	PUNCT
ajst-16324	45	42	q	q	NOUN
ajst-16324	45	43	)	)	PUNCT
ajst-16324	45	44	,	,	PUNCT
ajst-16324	45	45	where	where	SCONJ
ajst-16324	45	46	p(s	p(s	NOUN
ajst-16324	45	47	,	,	PUNCT
ajst-16324	45	48	q	q	NOUN
ajst-16324	45	49	)	)	PUNCT
ajst-16324	45	50	is	be	AUX
ajst-16324	45	51	defined	define	VERB
ajst-16324	45	52	as	as	SCONJ
ajst-16324	45	53	follows	follow	VERB
ajst-16324	45	54	:	:	PUNCT
ajst-16324	45	55	1	1	NUM
ajst-16324	45	56	(	(	PUNCT
ajst-16324	45	57	,	,	PUNCT
ajst-16324	45	58	)	)	PUNCT
ajst-16324	45	59	(	(	PUNCT
ajst-16324	45	60	,	,	PUNCT
ajst-16324	45	61	)	)	PUNCT
ajst-16324	45	62	0	0	NUM
ajst-16324	46	1	(	(	PUNCT
ajst-16324	46	2	,	,	PUNCT
ajst-16324	46	3	)	)	PUNCT
ajst-16324	47	1	r	r	NOUN
ajst-16324	48	1	d	d	X
ajst-16324	48	2	s	s	NOUN
ajst-16324	48	3	q	q	NOUN
ajst-16324	48	4	r	r	NOUN
ajst-16324	48	5	p	p	X
ajst-16324	48	6	s	s	NOUN
ajst-16324	48	7	q	q	X
ajst-16324	48	8	d	d	X
ajst-16324	48	9	s	s	NOUN
ajst-16324	48	10	q	q	X
ajst-16324	48	11			NOUN
ajst-16324	48	12			NUM
ajst-16324	48	13			NUM
ajst-16324	48	14			NOUN
ajst-16324	48	15	≥	≥	NOUN
ajst-16324	48	16	(	(	PUNCT
ajst-16324	48	17	2	2	NUM
ajst-16324	48	18	)	)	PUNCT
ajst-16324	48	19	2.3	2.3	NUM
ajst-16324	48	20	.	.	PUNCT
ajst-16324	49	1	coverage	coverage	NOUN
ajst-16324	49	2	calculation	calculation	NOUN
ajst-16324	49	3	assuming	assume	VERB
ajst-16324	49	4	the	the	DET
ajst-16324	49	5	monitoring	monitoring	NOUN
ajst-16324	49	6	area	area	NOUN
ajst-16324	49	7	is	be	AUX
ajst-16324	49	8	a	a	DET
ajst-16324	49	9	cubic	cubic	ADJ
ajst-16324	49	10	space	space	NOUN
ajst-16324	49	11	with	with	ADP
ajst-16324	49	12	dimensions	dimension	NOUN
ajst-16324	49	13	of	of	ADP
ajst-16324	49	14	n	n	NUM
ajst-16324	49	15	×	×	NOUN
ajst-16324	49	16	n	n	CCONJ
ajst-16324	49	17	×	×	PROPN
ajst-16324	49	18	n	n	CCONJ
ajst-16324	49	19	(	(	PUNCT
ajst-16324	49	20	m3	m3	PROPN
ajst-16324	49	21	)	)	PUNCT
ajst-16324	49	22	,	,	PUNCT
ajst-16324	49	23	it	it	PRON
ajst-16324	49	24	is	be	AUX
ajst-16324	49	25	discretized	discretize	VERB
ajst-16324	49	26	into	into	ADP
ajst-16324	49	27	n	n	CCONJ
ajst-16324	49	28	equal	equal	ADJ
ajst-16324	49	29	divisions	division	NOUN
ajst-16324	49	30	along	along	ADP
ajst-16324	49	31	the	the	DET
ajst-16324	49	32	x	x	PROPN
ajst-16324	49	33	,	,	PUNCT
ajst-16324	49	34	y	y	PROPN
ajst-16324	49	35	,	,	PUNCT
ajst-16324	49	36	and	and	CCONJ
ajst-16324	49	37	z	z	NOUN
ajst-16324	49	38	axes	axis	NOUN
ajst-16324	49	39	,	,	PUNCT
ajst-16324	49	40	resulting	result	VERB
ajst-16324	49	41	in	in	ADP
ajst-16324	49	42	a	a	DET
ajst-16324	49	43	total	total	NOUN
ajst-16324	49	44	of	of	ADP
ajst-16324	49	45	n3	n3	ADJ
ajst-16324	49	46	intersections	intersection	NOUN
ajst-16324	49	47	.	.	PUNCT
ajst-16324	50	1	during	during	ADP
ajst-16324	50	2	the	the	DET
ajst-16324	50	3	initialization	initialization	NOUN
ajst-16324	50	4	of	of	ADP
ajst-16324	50	5	sensor	sensor	NOUN
ajst-16324	50	6	nodes	node	NOUN
ajst-16324	50	7	,	,	PUNCT
ajst-16324	50	8	the	the	DET
ajst-16324	50	9	count	count	NOUN
ajst-16324	50	10	of	of	ADP
ajst-16324	50	11	coverable	coverable	ADJ
ajst-16324	50	12	intersections	intersection	NOUN
ajst-16324	50	13	,	,	PUNCT
ajst-16324	50	14	denoted	denote	VERB
ajst-16324	50	15	as	as	ADP
ajst-16324	50	16	pcover	pcover	NOUN
ajst-16324	50	17	,	,	PUNCT
ajst-16324	50	18	is	be	AUX
ajst-16324	50	19	set	set	VERB
ajst-16324	50	20	to	to	ADP
ajst-16324	50	21	0	0	NUM
ajst-16324	50	22	.	.	PUNCT
ajst-16324	51	1	subsequently	subsequently	ADV
ajst-16324	51	2	,	,	PUNCT
ajst-16324	51	3	the	the	DET
ajst-16324	51	4	distances	distance	NOUN
ajst-16324	51	5	d(i	d(i	PROPN
ajst-16324	51	6	,	,	PUNCT
ajst-16324	51	7	n	n	CCONJ
ajst-16324	51	8	)	)	PUNCT
ajst-16324	51	9	between	between	ADP
ajst-16324	51	10	the	the	DET
ajst-16324	51	11	ith	ith	PROPN
ajst-16324	51	12	sensor	sensor	NOUN
ajst-16324	51	13	and	and	CCONJ
ajst-16324	51	14	these	these	DET
ajst-16324	51	15	intersections	intersection	NOUN
ajst-16324	51	16	are	be	AUX
ajst-16324	51	17	calculated	calculate	VERB
ajst-16324	51	18	individually	individually	ADV
ajst-16324	51	19	.	.	PUNCT
ajst-16324	52	1	the	the	DET
ajst-16324	52	2	calculation	calculation	NOUN
ajst-16324	52	3	formula	formula	NOUN
ajst-16324	52	4	is	be	AUX
ajst-16324	52	5	as	as	SCONJ
ajst-16324	52	6	follows	follow	VERB
ajst-16324	52	7	:	:	PUNCT
ajst-16324	52	8	2	2	NUM
ajst-16324	52	9	2	2	NUM
ajst-16324	52	10	2	2	NUM
ajst-16324	52	11	(	(	PUNCT
ajst-16324	52	12	,	,	PUNCT
ajst-16324	52	13	)	)	PUNCT
ajst-16324	52	14	(	(	PUNCT
ajst-16324	52	15	)	)	PUNCT
ajst-16324	52	16	(	(	PUNCT
ajst-16324	52	17	)	)	PUNCT
ajst-16324	52	18	(	(	PUNCT
ajst-16324	52	19	)	)	PUNCT
ajst-16324	52	20	q	q	PROPN
ajst-16324	52	21	n	n	PROPN
ajst-16324	52	22	q	q	PROPN
ajst-16324	52	23	n	n	INTJ
ajst-16324	52	24	q	q	NOUN
ajst-16324	53	1	nd	nd	INTJ
ajst-16324	53	2	i	i	PRON
ajst-16324	53	3	n	n	ADJ
ajst-16324	53	4	x	x	NOUN
ajst-16324	53	5	x	x	VERB
ajst-16324	53	6	y	y	PROPN
ajst-16324	53	7	y	y	PROPN
ajst-16324	53	8	z	z	PROPN
ajst-16324	53	9	z	z	PROPN
ajst-16324	53	10			PROPN
ajst-16324	53	11			VERB
ajst-16324	53	12			PROPN
ajst-16324	53	13			VERB
ajst-16324	53	14			NOUN
ajst-16324	53	15	(	(	PUNCT
ajst-16324	53	16	3	3	NUM
ajst-16324	53	17	)	)	PUNCT
ajst-16324	53	18	when	when	SCONJ
ajst-16324	53	19	the	the	DET
ajst-16324	53	20	intersection	intersection	NOUN
ajst-16324	53	21	can	can	AUX
ajst-16324	53	22	be	be	AUX
ajst-16324	53	23	perceived	perceive	VERB
ajst-16324	53	24	by	by	ADP
ajst-16324	53	25	the	the	DET
ajst-16324	53	26	sensor	sensor	NOUN
ajst-16324	53	27	node	node	NOUN
ajst-16324	53	28	,	,	PUNCT
ajst-16324	53	29	pcover	pcover	NOUN
ajst-16324	53	30	is	be	AUX
ajst-16324	53	31	incremented	incremente	VERB
ajst-16324	53	32	by	by	ADP
ajst-16324	53	33	1	1	NUM
ajst-16324	53	34	;	;	PUNCT
ajst-16324	53	35	otherwise	otherwise	ADV
ajst-16324	53	36	,	,	PUNCT
ajst-16324	53	37	it	it	PRON
ajst-16324	53	38	remains	remain	VERB
ajst-16324	53	39	unchanged	unchanged	ADJ
ajst-16324	53	40	.	.	PUNCT
ajst-16324	54	1	cov	cov	PROPN
ajst-16324	54	2	cov	cov	PROPN
ajst-16324	54	3	er	er	INTJ
ajst-16324	54	4	cov	cov	PROPN
ajst-16324	54	5	1	1	NUM
ajst-16324	54	6	0	0	NUM
ajst-16324	54	7	(	(	PUNCT
ajst-16324	54	8	,	,	PUNCT
ajst-16324	54	9	)	)	PUNCT
ajst-16324	54	10	(	(	PUNCT
ajst-16324	54	11	,	,	PUNCT
ajst-16324	54	12	)	)	PUNCT
ajst-16324	55	1	er	er	INTJ
ajst-16324	55	2	er	er	INTJ
ajst-16324	55	3	p	p	X
ajst-16324	56	1	d	d	X
ajst-16324	56	2	i	i	PRON
ajst-16324	56	3	n	n	NOUN
ajst-16324	56	4	r	r	NOUN
ajst-16324	56	5	p	p	NOUN
ajst-16324	56	6	p	p	X
ajst-16324	57	1	d	d	X
ajst-16324	57	2	i	i	PRON
ajst-16324	57	3	n	n	ADV
ajst-16324	57	4	r	r	NOUN
ajst-16324	57	5			X
ajst-16324	57	6			PROPN
ajst-16324	58	1			NOUN
ajst-16324	58	2			ADJ
ajst-16324	58	3			PROPN
ajst-16324	58	4			NOUN
ajst-16324	58	5	(	(	PUNCT
ajst-16324	58	6	4	4	NUM
ajst-16324	58	7	)	)	PUNCT
ajst-16324	58	8	therefore	therefore	ADV
ajst-16324	58	9	,	,	PUNCT
ajst-16324	58	10	the	the	DET
ajst-16324	58	11	formula	formula	NOUN
ajst-16324	58	12	for	for	ADP
ajst-16324	58	13	sensor	sensor	NOUN
ajst-16324	58	14	node	node	ADJ
ajst-16324	58	15	coverage	coverage	NOUN
ajst-16324	58	16	rate	rate	NOUN
ajst-16324	58	17	is	be	AUX
ajst-16324	58	18	as	as	SCONJ
ajst-16324	58	19	follows	follow	VERB
ajst-16324	58	20	:	:	PUNCT
ajst-16324	58	21	(	(	PUNCT
ajst-16324	58	22	5	5	X
ajst-16324	58	23	)	)	PUNCT
ajst-16324	58	24	using	use	VERB
ajst-16324	58	25	equation	equation	NOUN
ajst-16324	58	26	(	(	PUNCT
ajst-16324	58	27	5	5	NUM
ajst-16324	58	28	)	)	PUNCT
ajst-16324	58	29	as	as	ADP
ajst-16324	58	30	the	the	DET
ajst-16324	58	31	objective	objective	ADJ
ajst-16324	58	32	function	function	NOUN
ajst-16324	58	33	for	for	ADP
ajst-16324	58	34	solving	solve	VERB
ajst-16324	58	35	the	the	DET
ajst-16324	58	36	coverage	coverage	NOUN
ajst-16324	58	37	optimization	optimization	NOUN
ajst-16324	58	38	problem	problem	NOUN
ajst-16324	58	39	in	in	ADP
ajst-16324	58	40	uwsns	uwsns	NOUN
ajst-16324	58	41	with	with	ADP
ajst-16324	58	42	the	the	DET
ajst-16324	58	43	improved	improved	ADJ
ajst-16324	58	44	sparrow	sparrow	NOUN
ajst-16324	58	45	search	search	NOUN
ajst-16324	58	46	algorithm	algorithm	NOUN
ajst-16324	58	47	,	,	PUNCT
ajst-16324	58	48	we	we	PRON
ajst-16324	58	49	aim	aim	VERB
ajst-16324	58	50	to	to	PART
ajst-16324	58	51	find	find	VERB
ajst-16324	58	52	the	the	DET
ajst-16324	58	53	maximum	maximum	ADJ
ajst-16324	58	54	coverage	coverage	NOUN
ajst-16324	58	55	rate	rate	NOUN
ajst-16324	58	56	rcover	rcover	NOUN
ajst-16324	58	57	.	.	PUNCT
ajst-16324	59	1	3	3	X
ajst-16324	59	2	.	.	X
ajst-16324	59	3	basic	basic	ADJ
ajst-16324	59	4	principles	principle	NOUN
ajst-16324	59	5	and	and	CCONJ
ajst-16324	59	6	algorithm	algorithm	NOUN
ajst-16324	59	7	introduction	introduction	NOUN
ajst-16324	59	8	3.1	3.1	NUM
ajst-16324	59	9	.	.	PUNCT
ajst-16324	59	10	basic	basic	ADJ
ajst-16324	59	11	sparrow	sparrow	ADJ
ajst-16324	59	12	search	search	NOUN
ajst-16324	59	13	algorithm	algorithm	NOUN
ajst-16324	59	14	the	the	DET
ajst-16324	59	15	sparrow	sparrow	ADJ
ajst-16324	59	16	search	search	NOUN
ajst-16324	59	17	algorithm	algorithm	NOUN
ajst-16324	59	18	is	be	AUX
ajst-16324	59	19	inspired	inspire	VERB
ajst-16324	59	20	by	by	ADP
ajst-16324	59	21	foraging	forage	VERB
ajst-16324	59	22	and	and	CCONJ
ajst-16324	59	23	anti	anti	ADJ
ajst-16324	59	24	-	-	ADJ
ajst-16324	59	25	predatory	predatory	ADJ
ajst-16324	59	26	behaviors	behavior	NOUN
ajst-16324	59	27	in	in	ADP
ajst-16324	59	28	sparrow	sparrow	ADJ
ajst-16324	59	29	populations	population	NOUN
ajst-16324	59	30	.	.	PUNCT
ajst-16324	60	1	it	it	PRON
ajst-16324	60	2	models	model	VERB
ajst-16324	60	3	the	the	DET
ajst-16324	60	4	behavior	behavior	NOUN
ajst-16324	60	5	of	of	ADP
ajst-16324	60	6	sparrow	sparrow	NOUN
ajst-16324	60	7	populations	population	NOUN
ajst-16324	60	8	when	when	SCONJ
ajst-16324	60	9	searching	search	VERB
ajst-16324	60	10	for	for	ADP
ajst-16324	60	11	food	food	NOUN
ajst-16324	60	12	by	by	ADP
ajst-16324	60	13	dividing	divide	VERB
ajst-16324	60	14	the	the	DET
ajst-16324	60	15	population	population	NOUN
ajst-16324	60	16	into	into	ADP
ajst-16324	60	17	two	two	NUM
ajst-16324	60	18	types	type	NOUN
ajst-16324	60	19	:	:	PUNCT
ajst-16324	60	20	discoverers	discoverer	NOUN
ajst-16324	60	21	and	and	CCONJ
ajst-16324	60	22	joiners	joiner	NOUN
ajst-16324	60	23	.	.	PUNCT
ajst-16324	61	1	discoverers	discoverer	NOUN
ajst-16324	61	2	are	be	AUX
ajst-16324	61	3	responsible	responsible	ADJ
ajst-16324	61	4	for	for	ADP
ajst-16324	61	5	exploring	explore	VERB
ajst-16324	61	6	the	the	DET
ajst-16324	61	7	search	search	NOUN
ajst-16324	61	8	space	space	NOUN
ajst-16324	61	9	,	,	PUNCT
ajst-16324	61	10	providing	provide	VERB
ajst-16324	61	11	search	search	NOUN
ajst-16324	61	12	information	information	NOUN
ajst-16324	61	13	to	to	PART
ajst-16324	61	14	attract	attract	VERB
ajst-16324	61	15	joiners	joiner	NOUN
ajst-16324	61	16	,	,	PUNCT
ajst-16324	61	17	and	and	CCONJ
ajst-16324	61	18	establishing	establish	VERB
ajst-16324	61	19	warning	warning	NOUN
ajst-16324	61	20	mechanisms	mechanism	NOUN
ajst-16324	61	21	to	to	PART
ajst-16324	61	22	protect	protect	VERB
ajst-16324	61	23	the	the	DET
ajst-16324	61	24	population	population	NOUN
ajst-16324	61	25	from	from	ADP
ajst-16324	61	26	predators	predator	NOUN
ajst-16324	61	27	.	.	PUNCT
ajst-16324	62	1	this	this	DET
ajst-16324	62	2	algorithm	algorithm	NOUN
ajst-16324	62	3	has	have	AUX
ajst-16324	62	4	been	be	AUX
ajst-16324	62	5	widely	widely	ADV
ajst-16324	62	6	used	use	VERB
ajst-16324	62	7	to	to	PART
ajst-16324	62	8	solve	solve	VERB
ajst-16324	62	9	optimization	optimization	NOUN
ajst-16324	62	10	problems	problem	NOUN
ajst-16324	62	11	.	.	PUNCT
ajst-16324	63	1	in	in	ADP
ajst-16324	63	2	the	the	DET
ajst-16324	63	3	sparrow	sparrow	ADJ
ajst-16324	63	4	population	population	NOUN
ajst-16324	63	5	,	,	PUNCT
ajst-16324	63	6	discoverers	discoverer	NOUN
ajst-16324	63	7	with	with	ADP
ajst-16324	63	8	higher	high	ADJ
ajst-16324	63	9	fitness	fitness	NOUN
ajst-16324	63	10	values	value	NOUN
ajst-16324	63	11	find	find	VERB
ajst-16324	63	12	food	food	NOUN
ajst-16324	63	13	faster	fast	ADV
ajst-16324	63	14	.	.	PUNCT
ajst-16324	64	1	the	the	DET
ajst-16324	64	2	formula	formula	NOUN
ajst-16324	64	3	for	for	ADP
ajst-16324	64	4	updating	update	VERB
ajst-16324	64	5	the	the	DET
ajst-16324	64	6	position	position	NOUN
ajst-16324	64	7	of	of	ADP
ajst-16324	64	8	discoverers	discoverer	NOUN
ajst-16324	64	9	is	be	AUX
ajst-16324	64	10	as	as	SCONJ
ajst-16324	64	11	follows	follow	VERB
ajst-16324	64	12	:	:	PUNCT
ajst-16324	64	13	(	(	PUNCT
ajst-16324	64	14	6	6	NUM
ajst-16324	64	15	)	)	PUNCT
ajst-16324	64	16	in	in	ADP
ajst-16324	64	17	the	the	DET
ajst-16324	64	18	above	above	ADJ
ajst-16324	64	19	equation	equation	NOUN
ajst-16324	64	20	,	,	PUNCT
ajst-16324	64	21	x_(i	x_(i	NUM
ajst-16324	64	22	,	,	PUNCT
ajst-16324	64	23	j)^t	j)^t	PROPN
ajst-16324	64	24	represents	represent	VERB
ajst-16324	64	25	the	the	DET
ajst-16324	64	26	positional	positional	ADJ
ajst-16324	64	27	information	information	NOUN
ajst-16324	64	28	of	of	ADP
ajst-16324	64	29	the	the	DET
ajst-16324	64	30	ith	ith	PROPN
ajst-16324	64	31	sparrow	sparrow	NOUN
ajst-16324	64	32	in	in	ADP
ajst-16324	64	33	the	the	DET
ajst-16324	64	34	jth	jth	PROPN
ajst-16324	64	35	dimension	dimension	NOUN
ajst-16324	64	36	,	,	PUNCT
ajst-16324	64	37	where	where	SCONJ
ajst-16324	64	38	t	t	PROPN
ajst-16324	64	39	denotes	denote	VERB
ajst-16324	64	40	the	the	DET
ajst-16324	64	41	current	current	ADJ
ajst-16324	64	42	iteration	iteration	NOUN
ajst-16324	64	43	count	count	NOUN
ajst-16324	64	44	,	,	PUNCT
ajst-16324	64	45	and	and	CCONJ
ajst-16324	64	46	itermax	itermax	NOUN
ajst-16324	64	47	represents	represent	VERB
ajst-16324	64	48	the	the	DET
ajst-16324	64	49	maximum	maximum	ADJ
ajst-16324	64	50	number	number	NOUN
ajst-16324	64	51	of	of	ADP
ajst-16324	64	52	iterations	iteration	NOUN
ajst-16324	64	53	.	.	PUNCT
ajst-16324	65	1	α	α	PROPN
ajst-16324	65	2	represents	represent	VERB
ajst-16324	65	3	a	a	DET
ajst-16324	65	4	positive	positive	ADJ
ajst-16324	65	5	number	number	NOUN
ajst-16324	65	6	less	less	ADJ
ajst-16324	65	7	than	than	ADP
ajst-16324	65	8	1	1	NUM
ajst-16324	65	9	,	,	PUNCT
ajst-16324	65	10	while	while	SCONJ
ajst-16324	65	11	r2	r2	PROPN
ajst-16324	65	12	and	and	CCONJ
ajst-16324	65	13	st	st	PROPN
ajst-16324	65	14	represent	represent	VERB
ajst-16324	65	15	the	the	DET
ajst-16324	65	16	warning	warning	NOUN
ajst-16324	65	17	value	value	NOUN
ajst-16324	65	18	and	and	CCONJ
ajst-16324	65	19	safety	safety	NOUN
ajst-16324	65	20	value	value	NOUN
ajst-16324	65	21	,	,	PUNCT
ajst-16324	65	22	respectively	respectively	ADV
ajst-16324	65	23	,	,	PUNCT
ajst-16324	65	24	with	with	ADP
ajst-16324	65	25	their	their	PRON
ajst-16324	65	26	values	value	NOUN
ajst-16324	65	27	falling	fall	VERB
ajst-16324	65	28	within	within	ADP
ajst-16324	65	29	the	the	DET
ajst-16324	65	30	ranges	range	NOUN
ajst-16324	65	31	[	[	X
ajst-16324	65	32	0,1	0,1	NUM
ajst-16324	65	33	]	]	PUNCT
ajst-16324	65	34	and	and	CCONJ
ajst-16324	65	35	[	[	X
ajst-16324	65	36	0.5,1	0.5,1	X
ajst-16324	65	37	]	]	X
ajst-16324	65	38	.	.	PUNCT
ajst-16324	66	1	q	q	PUNCT
ajst-16324	66	2	represents	represent	VERB
ajst-16324	66	3	a	a	DET
ajst-16324	66	4	random	random	ADJ
ajst-16324	66	5	number	number	NOUN
ajst-16324	66	6	following	follow	VERB
ajst-16324	66	7	a	a	DET
ajst-16324	66	8	normal	normal	ADJ
ajst-16324	66	9	distribution	distribution	NOUN
ajst-16324	66	10	.	.	PUNCT
ajst-16324	67	1	l	l	NOUN
ajst-16324	67	2	represents	represent	VERB
ajst-16324	67	3	a	a	DET
ajst-16324	67	4	multidimensional	multidimensional	ADJ
ajst-16324	67	5	matrix	matrix	NOUN
ajst-16324	67	6	,	,	PUNCT
ajst-16324	67	7	with	with	ADP
ajst-16324	67	8	each	each	DET
ajst-16324	67	9	element	element	NOUN
ajst-16324	67	10	equal	equal	ADJ
ajst-16324	67	11	to	to	ADP
ajst-16324	67	12	1	1	NUM
ajst-16324	67	13	.	.	PUNCT
ajst-16324	68	1	followers	follower	NOUN
ajst-16324	68	2	optimize	optimize	VERB
ajst-16324	68	3	their	their	PRON
ajst-16324	68	4	positions	position	NOUN
ajst-16324	68	5	by	by	ADP
ajst-16324	68	6	following	follow	VERB
ajst-16324	68	7	the	the	DET
ajst-16324	68	8	update	update	NOUN
ajst-16324	68	9	strategy	strategy	NOUN
ajst-16324	68	10	of	of	ADP
ajst-16324	68	11	discoverers	discoverer	NOUN
ajst-16324	68	12	,	,	PUNCT
ajst-16324	68	13	further	far	ADV
ajst-16324	68	14	searching	search	VERB
ajst-16324	68	15	for	for	ADP
ajst-16324	68	16	the	the	DET
ajst-16324	68	17	optimal	optimal	ADJ
ajst-16324	68	18	solution	solution	NOUN
ajst-16324	68	19	.	.	PUNCT
ajst-16324	69	1	the	the	DET
ajst-16324	69	2	formula	formula	NOUN
ajst-16324	69	3	for	for	ADP
ajst-16324	69	4	updating	update	VERB
ajst-16324	69	5	follower	follower	NOUN
ajst-16324	69	6	positions	position	NOUN
ajst-16324	69	7	is	be	AUX
ajst-16324	69	8	as	as	SCONJ
ajst-16324	69	9	follows	follow	VERB
ajst-16324	69	10	:	:	PUNCT
ajst-16324	69	11	,	,	PUNCT
ajst-16324	69	12	2	2	NUM
ajst-16324	69	13	1	1	NUM
ajst-16324	69	14	,	,	PUNCT
ajst-16324	69	15	1	1	NUM
ajst-16324	69	16	1	1	NUM
ajst-16324	69	17	,	,	PUNCT
ajst-16324	69	18	ex	ex	NOUN
ajst-16324	69	19	p	p	NOUN
ajst-16324	69	20	2	2	NUM
ajst-16324	69	21	2	2	NUM
ajst-16324	69	22	t	t	NOUN
ajst-16324	69	23	t	t	NOUN
ajst-16324	69	24	w	w	NOUN
ajst-16324	69	25	o	o	PROPN
ajst-16324	69	26	rs	rs	NOUN
ajst-16324	70	1	t	t	NOUN
ajst-16324	71	1	i	i	PRON
ajst-16324	71	2	j	j	PROPN
ajst-16324	72	1	t	t	INTJ
ajst-16324	73	1	i	i	PRON
ajst-16324	74	1	j	j	PROPN
ajst-16324	75	1	t	t	PROPN
ajst-16324	75	2	t	t	PROPN
ajst-16324	75	3	t	t	PROPN
ajst-16324	75	4	p	p	X
ajst-16324	76	1	i	i	PRON
ajst-16324	76	2	j	j	PROPN
ajst-16324	77	1	p	p	X
ajst-16324	77	2	x	x	X
ajst-16324	77	3	x	x	PROPN
ajst-16324	77	4	n	n	PRON
ajst-16324	77	5	q	q	NOUN
ajst-16324	78	1	i	i	INTJ
ajst-16324	78	2	i	i	INTJ
ajst-16324	78	3	x	x	VERB
ajst-16324	78	4	n	n	INTJ
ajst-16324	78	5	x	x	NOUN
ajst-16324	78	6	x	x	PUNCT
ajst-16324	78	7	x	x	X
ajst-16324	78	8	a	a	DET
ajst-16324	78	9	l	l	NOUN
ajst-16324	78	10	i	i	PRON
ajst-16324	78	11			PROPN
ajst-16324	78	12			PROPN
ajst-16324	78	13			PUNCT
ajst-16324	78	14			PUNCT
ajst-16324	78	15			ADP
ajst-16324	78	16			NOUN
ajst-16324	78	17			VERB
ajst-16324	79	1			PROPN
ajst-16324	79	2			PUNCT
ajst-16324	80	1			PROPN
ajst-16324	80	2			X
ajst-16324	80	3			PROPN
ajst-16324	80	4			PROPN
ajst-16324	80	5			PROPN
ajst-16324	80	6			NUM
ajst-16324	80	7			NUM
ajst-16324	80	8			ADV
ajst-16324	80	9			VERB
ajst-16324	80	10			PROPN
ajst-16324	80	11			VERB
ajst-16324	80	12			NUM
ajst-16324	80	13	(	(	PUNCT
ajst-16324	80	14	7	7	NUM
ajst-16324	80	15	)	)	PUNCT
ajst-16324	80	16	-20	-20	NUM
ajst-16324	80	17	20	20	NUM
ajst-16324	80	18	-10	-10	SYM
ajst-16324	80	19	10	10	NUM
ajst-16324	80	20	20	20	NUM
ajst-16324	80	21	0	0	NUM
ajst-16324	80	22	10	10	NUM
ajst-16324	80	23	10	10	NUM
ajst-16324	80	24	y	y	PROPN
ajst-16324	80	25	/	/	SYM
ajst-16324	80	26	m	m	VERB
ajst-16324	80	27	0	0	NUM
ajst-16324	80	28	x	x	X
ajst-16324	80	29	/	/	SYM
ajst-16324	80	30	m	m	VERB
ajst-16324	80	31	20	20	NUM
ajst-16324	80	32	0	0	NUM
ajst-16324	80	33	-10	-10	NUM
ajst-16324	80	34	-10	-10	NUM
ajst-16324	80	35	-20	-20	NUM
ajst-16324	80	36	-20	-20	NUM
ajst-16324	80	37	106	106	NUM
ajst-16324	80	38	in	in	ADP
ajst-16324	80	39	the	the	DET
ajst-16324	80	40	equation	equation	NOUN
ajst-16324	80	41	above	above	ADV
ajst-16324	80	42	,	,	PUNCT
ajst-16324	80	43	xp	xp	ADV
ajst-16324	80	44	represents	represent	VERB
ajst-16324	80	45	the	the	DET
ajst-16324	80	46	current	current	ADJ
ajst-16324	80	47	best	good	ADJ
ajst-16324	80	48	position	position	NOUN
ajst-16324	80	49	of	of	ADP
ajst-16324	80	50	the	the	DET
ajst-16324	80	51	discoverer	discoverer	NOUN
ajst-16324	80	52	,	,	PUNCT
ajst-16324	80	53	xworst	xworst	PROPN
ajst-16324	80	54	represents	represent	VERB
ajst-16324	80	55	the	the	DET
ajst-16324	80	56	current	current	ADJ
ajst-16324	80	57	global	global	ADJ
ajst-16324	80	58	worst	bad	ADJ
ajst-16324	80	59	position	position	NOUN
ajst-16324	80	60	,	,	PUNCT
ajst-16324	80	61	and	and	CCONJ
ajst-16324	80	62	a	a	PRON
ajst-16324	80	63	represents	represent	VERB
ajst-16324	80	64	a	a	DET
ajst-16324	80	65	1×d	1×d	NUM
ajst-16324	80	66	matrix	matrix	NOUN
ajst-16324	80	67	with	with	ADP
ajst-16324	80	68	each	each	DET
ajst-16324	80	69	element	element	NOUN
ajst-16324	80	70	randomly	randomly	ADV
ajst-16324	80	71	assigned	assign	VERB
ajst-16324	80	72	as	as	ADP
ajst-16324	80	73	1	1	NUM
ajst-16324	80	74	or	or	CCONJ
ajst-16324	80	75	-1	-1	NOUN
ajst-16324	80	76	.	.	PUNCT
ajst-16324	81	1	due	due	ADP
ajst-16324	81	2	to	to	ADP
ajst-16324	81	3	the	the	DET
ajst-16324	81	4	threat	threat	NOUN
ajst-16324	81	5	of	of	ADP
ajst-16324	81	6	natural	natural	ADJ
ajst-16324	81	7	predators	predator	NOUN
ajst-16324	81	8	,	,	PUNCT
ajst-16324	81	9	security	security	NOUN
ajst-16324	81	10	considerations	consideration	NOUN
ajst-16324	81	11	are	be	AUX
ajst-16324	81	12	essential	essential	ADJ
ajst-16324	81	13	to	to	PART
ajst-16324	81	14	successfully	successfully	ADV
ajst-16324	81	15	obtain	obtain	VERB
ajst-16324	81	16	food	food	NOUN
ajst-16324	81	17	.	.	PUNCT
ajst-16324	82	1	therefore	therefore	ADV
ajst-16324	82	2	,	,	PUNCT
ajst-16324	82	3	to	to	PART
ajst-16324	82	4	address	address	VERB
ajst-16324	82	5	potential	potential	ADJ
ajst-16324	82	6	risks	risk	NOUN
ajst-16324	82	7	,	,	PUNCT
ajst-16324	82	8	10	10	NUM
ajst-16324	82	9	%	%	NOUN
ajst-16324	82	10	to	to	PART
ajst-16324	82	11	20	20	NUM
ajst-16324	82	12	%	%	NOUN
ajst-16324	82	13	of	of	ADP
ajst-16324	82	14	individuals	individual	NOUN
ajst-16324	82	15	in	in	ADP
ajst-16324	82	16	the	the	DET
ajst-16324	82	17	population	population	NOUN
ajst-16324	82	18	are	be	AUX
ajst-16324	82	19	chosen	choose	VERB
ajst-16324	82	20	to	to	PART
ajst-16324	82	21	serve	serve	VERB
ajst-16324	82	22	as	as	ADP
ajst-16324	82	23	sentinels	sentinel	NOUN
ajst-16324	82	24	.	.	PUNCT
ajst-16324	83	1	the	the	DET
ajst-16324	83	2	update	update	NOUN
ajst-16324	83	3	formula	formula	NOUN
ajst-16324	83	4	for	for	ADP
ajst-16324	83	5	sentinel	sentinel	ADJ
ajst-16324	83	6	positions	position	NOUN
ajst-16324	83	7	is	be	AUX
ajst-16324	83	8	as	as	SCONJ
ajst-16324	83	9	follows	follow	VERB
ajst-16324	83	10	:	:	PUNCT
ajst-16324	83	11			PROPN
ajst-16324	83	12			PROPN
ajst-16324	83	13	,	,	PUNCT
ajst-16324	83	14	1	1	NUM
ajst-16324	83	15	,	,	PUNCT
ajst-16324	83	16	,	,	PUNCT
ajst-16324	83	17	,	,	PUNCT
ajst-16324	84	1	t	t	PROPN
ajst-16324	84	2	t	t	PROPN
ajst-16324	84	3	t	t	PROPN
ajst-16324	84	4	best	well	ADV
ajst-16324	85	1	i	i	PRON
ajst-16324	85	2	j	j	PROPN
ajst-16324	86	1	best	good	ADJ
ajst-16324	87	1	i	i	PRON
ajst-16324	87	2	g	g	PROPN
ajst-16324	88	1	t	t	PROPN
ajst-16324	88	2	t	t	PROPN
ajst-16324	88	3	t	t	PROPN
ajst-16324	89	1	i	i	PRON
ajst-16324	89	2	j	j	PROPN
ajst-16324	90	1	i	i	PRON
ajst-16324	90	2	j	j	PROPN
ajst-16324	90	3	worstt	worstt	VERB
ajst-16324	91	1	i	i	PRON
ajst-16324	91	2	j	j	VERB
ajst-16324	92	1	i	i	PRON
ajst-16324	92	2	g	g	VERB
ajst-16324	93	1	i	i	INTJ
ajst-16324	93	2	w	w	VERB
ajst-16324	94	1	x	x	X
ajst-16324	94	2	x	x	PUNCT
ajst-16324	94	3	x	x	X
ajst-16324	94	4	f	f	NOUN
ajst-16324	94	5	f	f	NOUN
ajst-16324	94	6	x	x	PUNCT
ajst-16324	94	7	x	x	PUNCT
ajst-16324	94	8	x	x	PUNCT
ajst-16324	94	9	x	x	PUNCT
ajst-16324	94	10	k	k	NOUN
ajst-16324	95	1	f	f	X
ajst-16324	95	2	f	f	X
ajst-16324	95	3	f	f	PROPN
ajst-16324	95	4	f	f	PROPN
ajst-16324	95	5			PROPN
ajst-16324	95	6			ADV
ajst-16324	95	7			ADP
ajst-16324	95	8			ADJ
ajst-16324	95	9			PROPN
ajst-16324	95	10			NOUN
ajst-16324	95	11			VERB
ajst-16324	95	12			PRON
ajst-16324	95	13			NOUN
ajst-16324	95	14			NOUN
ajst-16324	95	15			PROPN
ajst-16324	95	16			PUNCT
ajst-16324	95	17			NOUN
ajst-16324	96	1			PROPN
ajst-16324	96	2			PROPN
ajst-16324	96	3			PROPN
ajst-16324	96	4			PROPN
ajst-16324	96	5	(	(	PUNCT
ajst-16324	96	6	8)	8)	NUM
ajst-16324	96	7	in	in	ADP
ajst-16324	96	8	the	the	DET
ajst-16324	96	9	equation	equation	NOUN
ajst-16324	96	10	above	above	ADV
ajst-16324	96	11	,	,	PUNCT
ajst-16324	96	12	xbest	xbest	NOUN
ajst-16324	96	13	represents	represent	VERB
ajst-16324	96	14	the	the	DET
ajst-16324	96	15	global	global	ADJ
ajst-16324	96	16	best	good	ADJ
ajst-16324	96	17	position	position	NOUN
ajst-16324	96	18	,	,	PUNCT
ajst-16324	96	19	β	β	PROPN
ajst-16324	96	20	represents	represent	VERB
ajst-16324	96	21	a	a	DET
ajst-16324	96	22	random	random	ADJ
ajst-16324	96	23	number	number	NOUN
ajst-16324	96	24	following	follow	VERB
ajst-16324	96	25	a	a	DET
ajst-16324	96	26	standard	standard	ADJ
ajst-16324	96	27	normal	normal	ADJ
ajst-16324	96	28	distribution	distribution	NOUN
ajst-16324	96	29	,	,	PUNCT
ajst-16324	96	30	and	and	CCONJ
ajst-16324	96	31	k	k	PROPN
ajst-16324	96	32	belongs	belong	VERB
ajst-16324	96	33	to	to	ADP
ajst-16324	96	34	the	the	DET
ajst-16324	96	35	range	range	NOUN
ajst-16324	96	36	[	[	X
ajst-16324	96	37	-1	-1	X
ajst-16324	96	38	,	,	PUNCT
ajst-16324	96	39	1	1	NUM
ajst-16324	96	40	]	]	PUNCT
ajst-16324	96	41	.	.	PUNCT
ajst-16324	97	1	fi	fi	PROPN
ajst-16324	97	2	denotes	denote	VERB
ajst-16324	97	3	the	the	DET
ajst-16324	97	4	fitness	fitness	NOUN
ajst-16324	97	5	value	value	NOUN
ajst-16324	97	6	of	of	ADP
ajst-16324	97	7	the	the	DET
ajst-16324	97	8	current	current	ADJ
ajst-16324	97	9	individual	individual	ADJ
ajst-16324	97	10	sparrow	sparrow	NOUN
ajst-16324	97	11	.	.	PUNCT
ajst-16324	98	1	fg	fg	PROPN
ajst-16324	98	2	and	and	CCONJ
ajst-16324	98	3	fw	fw	PROPN
ajst-16324	98	4	respectively	respectively	ADV
ajst-16324	98	5	represent	represent	VERB
ajst-16324	98	6	the	the	DET
ajst-16324	98	7	fitness	fitness	NOUN
ajst-16324	98	8	values	value	NOUN
ajst-16324	98	9	of	of	ADP
ajst-16324	98	10	the	the	DET
ajst-16324	98	11	global	global	ADJ
ajst-16324	98	12	best	good	ADJ
ajst-16324	98	13	and	and	CCONJ
ajst-16324	98	14	global	global	ADJ
ajst-16324	98	15	worst	bad	ADJ
ajst-16324	98	16	individuals	individual	NOUN
ajst-16324	98	17	.	.	PUNCT
ajst-16324	99	1	3.2	3.2	NUM
ajst-16324	99	2	.	.	PUNCT
ajst-16324	99	3	improved	improve	VERB
ajst-16324	99	4	sparrow	sparrow	ADJ
ajst-16324	99	5	search	search	NOUN
ajst-16324	99	6	algorithm	algorithm	NOUN
ajst-16324	99	7	3.2.1	3.2.1	NUM
ajst-16324	99	8	.	.	PUNCT
ajst-16324	100	1	nonlinear	nonlinear	ADJ
ajst-16324	100	2	inertial	inertial	ADJ
ajst-16324	100	3	weight	weight	NOUN
ajst-16324	100	4	in	in	ADP
ajst-16324	100	5	metaheuristic	metaheuristic	ADJ
ajst-16324	100	6	algorithms	algorithm	NOUN
ajst-16324	100	7	,	,	PUNCT
ajst-16324	100	8	finding	find	VERB
ajst-16324	100	9	a	a	DET
ajst-16324	100	10	balance	balance	NOUN
ajst-16324	100	11	between	between	ADP
ajst-16324	100	12	global	global	ADJ
ajst-16324	100	13	exploration	exploration	NOUN
ajst-16324	100	14	and	and	CCONJ
ajst-16324	100	15	local	local	ADJ
ajst-16324	100	16	exploitation	exploitation	NOUN
ajst-16324	100	17	is	be	AUX
ajst-16324	100	18	crucial	crucial	ADJ
ajst-16324	100	19	.	.	PUNCT
ajst-16324	101	1	a	a	DET
ajst-16324	101	2	significant	significant	ADJ
ajst-16324	101	3	issue	issue	NOUN
ajst-16324	101	4	in	in	ADP
ajst-16324	101	5	the	the	DET
ajst-16324	101	6	sparrow	sparrow	NOUN
ajst-16324	101	7	search	search	NOUN
ajst-16324	101	8	algorithm	algorithm	NOUN
ajst-16324	101	9	is	be	AUX
ajst-16324	101	10	the	the	DET
ajst-16324	101	11	lack	lack	NOUN
ajst-16324	101	12	of	of	ADP
ajst-16324	101	13	proper	proper	ADJ
ajst-16324	101	14	control	control	NOUN
ajst-16324	101	15	over	over	ADP
ajst-16324	101	16	step	step	NOUN
ajst-16324	101	17	size	size	NOUN
ajst-16324	101	18	.	.	PUNCT
ajst-16324	102	1	once	once	ADV
ajst-16324	102	2	the	the	DET
ajst-16324	102	3	optimal	optimal	ADJ
ajst-16324	102	4	solution	solution	NOUN
ajst-16324	102	5	is	be	AUX
ajst-16324	102	6	found	find	VERB
ajst-16324	102	7	,	,	PUNCT
ajst-16324	102	8	other	other	ADJ
ajst-16324	102	9	individuals	individual	NOUN
ajst-16324	102	10	quickly	quickly	ADV
ajst-16324	102	11	converge	converge	VERB
ajst-16324	102	12	to	to	ADP
ajst-16324	102	13	the	the	DET
ajst-16324	102	14	vicinity	vicinity	NOUN
ajst-16324	102	15	of	of	ADP
ajst-16324	102	16	the	the	DET
ajst-16324	102	17	optimal	optimal	ADJ
ajst-16324	102	18	solution	solution	NOUN
ajst-16324	102	19	,	,	PUNCT
ajst-16324	102	20	making	make	VERB
ajst-16324	102	21	it	it	PRON
ajst-16324	102	22	challenging	challenge	VERB
ajst-16324	102	23	for	for	ADP
ajst-16324	102	24	the	the	DET
ajst-16324	102	25	algorithm	algorithm	NOUN
ajst-16324	102	26	to	to	PART
ajst-16324	102	27	effectively	effectively	ADV
ajst-16324	102	28	control	control	VERB
ajst-16324	102	29	both	both	CCONJ
ajst-16324	102	30	the	the	DET
ajst-16324	102	31	global	global	ADJ
ajst-16324	102	32	exploration	exploration	NOUN
ajst-16324	102	33	and	and	CCONJ
ajst-16324	102	34	local	local	ADJ
ajst-16324	102	35	exploitation	exploitation	NOUN
ajst-16324	102	36	processes	process	NOUN
ajst-16324	102	37	.	.	PUNCT
ajst-16324	103	1	this	this	PRON
ajst-16324	103	2	often	often	ADV
ajst-16324	103	3	leads	lead	VERB
ajst-16324	103	4	to	to	ADP
ajst-16324	103	5	the	the	DET
ajst-16324	103	6	algorithm	algorithm	NOUN
ajst-16324	103	7	getting	getting	AUX
ajst-16324	103	8	trapped	trap	VERB
ajst-16324	103	9	in	in	ADP
ajst-16324	103	10	local	local	ADJ
ajst-16324	103	11	optima	optima	NOUN
ajst-16324	103	12	.	.	PUNCT
ajst-16324	104	1	to	to	PART
ajst-16324	104	2	address	address	VERB
ajst-16324	104	3	this	this	DET
ajst-16324	104	4	issue	issue	NOUN
ajst-16324	104	5	,	,	PUNCT
ajst-16324	104	6	a	a	DET
ajst-16324	104	7	nonlinear	nonlinear	ADJ
ajst-16324	104	8	inertia	inertia	NOUN
ajst-16324	104	9	weight	weight	NOUN
ajst-16324	104	10	is	be	AUX
ajst-16324	104	11	introduced	introduce	VERB
ajst-16324	104	12	to	to	PART
ajst-16324	104	13	control	control	VERB
ajst-16324	104	14	the	the	DET
ajst-16324	104	15	search	search	NOUN
ajst-16324	104	16	range	range	NOUN
ajst-16324	104	17	and	and	CCONJ
ajst-16324	104	18	convergence	convergence	NOUN
ajst-16324	104	19	rate	rate	NOUN
ajst-16324	104	20	,	,	PUNCT
ajst-16324	104	21	allowing	allow	VERB
ajst-16324	104	22	for	for	ADP
ajst-16324	104	23	a	a	DET
ajst-16324	104	24	better	well	ADJ
ajst-16324	104	25	balance	balance	NOUN
ajst-16324	104	26	between	between	ADP
ajst-16324	104	27	global	global	ADJ
ajst-16324	104	28	and	and	CCONJ
ajst-16324	104	29	local	local	ADJ
ajst-16324	104	30	exploration	exploration	NOUN
ajst-16324	104	31	.	.	PUNCT
ajst-16324	105	1	larger	large	ADJ
ajst-16324	105	2	weight	weight	NOUN
ajst-16324	105	3	values	value	NOUN
ajst-16324	105	4	can	can	AUX
ajst-16324	105	5	increase	increase	VERB
ajst-16324	105	6	the	the	DET
ajst-16324	105	7	search	search	NOUN
ajst-16324	105	8	range	range	NOUN
ajst-16324	105	9	,	,	PUNCT
ajst-16324	105	10	promoting	promote	VERB
ajst-16324	105	11	global	global	ADJ
ajst-16324	105	12	exploration	exploration	NOUN
ajst-16324	105	13	,	,	PUNCT
ajst-16324	105	14	while	while	SCONJ
ajst-16324	105	15	smaller	small	ADJ
ajst-16324	105	16	weight	weight	NOUN
ajst-16324	105	17	values	value	NOUN
ajst-16324	105	18	are	be	AUX
ajst-16324	105	19	more	more	ADV
ajst-16324	105	20	conducive	conducive	ADJ
ajst-16324	105	21	to	to	ADP
ajst-16324	105	22	local	local	ADJ
ajst-16324	105	23	exploitation	exploitation	NOUN
ajst-16324	105	24	,	,	PUNCT
ajst-16324	105	25	accelerating	accelerate	VERB
ajst-16324	105	26	the	the	DET
ajst-16324	105	27	convergence	convergence	NOUN
ajst-16324	105	28	rate	rate	NOUN
ajst-16324	105	29	and	and	CCONJ
ajst-16324	105	30	avoiding	avoid	VERB
ajst-16324	105	31	getting	getting	AUX
ajst-16324	105	32	trapped	trap	VERB
ajst-16324	105	33	in	in	ADP
ajst-16324	105	34	local	local	ADJ
ajst-16324	105	35	optima	optima	NOUN
ajst-16324	105	36	.	.	PUNCT
ajst-16324	106	1	the	the	DET
ajst-16324	106	2	formula	formula	NOUN
ajst-16324	106	3	for	for	ADP
ajst-16324	106	4	calculating	calculate	VERB
ajst-16324	106	5	the	the	DET
ajst-16324	106	6	nonlinear	nonlinear	ADJ
ajst-16324	106	7	inertia	inertia	NOUN
ajst-16324	106	8	weight	weight	NOUN
ajst-16324	106	9	is	be	AUX
ajst-16324	106	10	as	as	SCONJ
ajst-16324	106	11	follows	follow	VERB
ajst-16324	106	12	:	:	PUNCT
ajst-16324	106	13	m	m	VERB
ajst-16324	106	14	a	a	PRON
ajst-16324	106	15	x	x	X
ajst-16324	106	16	m	m	VERB
ajst-16324	106	17	a	a	PRON
ajst-16324	106	18	x	x	X
ajst-16324	106	19	e	e	NOUN
ajst-16324	106	20	x	x	X
ajst-16324	106	21	p	p	NOUN
ajst-16324	106	22	1	1	NUM
ajst-16324	106	23	t	t	NOUN
ajst-16324	106	24	t	t	NOUN
ajst-16324	106	25	t	t	PROPN
ajst-16324	106	26	t	t	PROPN
ajst-16324	106	27			PROPN
ajst-16324	106	28			NOUN
ajst-16324	106	29			VERB
ajst-16324	106	30			NUM
ajst-16324	106	31			NOUN
ajst-16324	106	32			NOUN
ajst-16324	106	33			NOUN
ajst-16324	106	34	(	(	PUNCT
ajst-16324	106	35	9	9	NUM
ajst-16324	106	36	)	)	PUNCT
ajst-16324	106	37	after	after	ADP
ajst-16324	106	38	incorporating	incorporate	VERB
ajst-16324	106	39	the	the	DET
ajst-16324	106	40	nonlinear	nonlinear	ADJ
ajst-16324	106	41	inertia	inertia	NOUN
ajst-16324	106	42	weight	weight	NOUN
ajst-16324	106	43	,	,	PUNCT
ajst-16324	106	44	the	the	DET
ajst-16324	106	45	position	position	NOUN
ajst-16324	106	46	update	update	NOUN
ajst-16324	106	47	formula	formula	NOUN
ajst-16324	106	48	for	for	ADP
ajst-16324	106	49	discoverers	discoverer	NOUN
ajst-16324	106	50	is	be	AUX
ajst-16324	106	51	as	as	SCONJ
ajst-16324	106	52	follows	follow	VERB
ajst-16324	106	53	:	:	PUNCT
ajst-16324	106	54	1	1	NUM
ajst-16324	106	55	,	,	PUNCT
ajst-16324	106	56	21	21	NUM
ajst-16324	106	57	,	,	PUNCT
ajst-16324	106	58	1	1	NUM
ajst-16324	106	59	,	,	PUNCT
ajst-16324	106	60	2	2	NUM
ajst-16324	106	61	t	t	NOUN
ajst-16324	107	1	i	i	PRON
ajst-16324	107	2	jt	jt	PROPN
ajst-16324	108	1	i	i	PRON
ajst-16324	108	2	j	j	PROPN
ajst-16324	109	1	t	t	NOUN
ajst-16324	110	1	i	i	PRON
ajst-16324	110	2	j	j	NOUN
ajst-16324	111	1	x	x	PUNCT
ajst-16324	111	2	r	r	NOUN
ajst-16324	111	3	st	st	PROPN
ajst-16324	111	4	x	x	X
ajst-16324	111	5	x	x	X
ajst-16324	111	6	q	q	X
ajst-16324	111	7	r	r	NOUN
ajst-16324	111	8	st	st	PROPN
ajst-16324	111	9			PROPN
ajst-16324	111	10			ADV
ajst-16324	111	11			X
ajst-16324	111	12			ADP
ajst-16324	111	13			NUM
ajst-16324	111	14			X
ajst-16324	111	15			NUM
ajst-16324	111	16			PUNCT
ajst-16324	111	17			PUNCT
ajst-16324	111	18	(	(	PUNCT
ajst-16324	111	19	10	10	NUM
ajst-16324	111	20	)	)	PUNCT
ajst-16324	111	21	3.2.2	3.2.2	NUM
ajst-16324	111	22	.	.	PUNCT
ajst-16324	112	1	levy	levy	NOUN
ajst-16324	112	2	flight	flight	NOUN
ajst-16324	112	3	strategy	strategy	NOUN
ajst-16324	112	4	in	in	ADP
ajst-16324	112	5	the	the	DET
ajst-16324	112	6	standard	standard	ADJ
ajst-16324	112	7	sparrow	sparrow	ADJ
ajst-16324	112	8	search	search	NOUN
ajst-16324	112	9	algorithm	algorithm	NOUN
ajst-16324	112	10	,	,	PUNCT
ajst-16324	112	11	the	the	DET
ajst-16324	112	12	roles	role	NOUN
ajst-16324	112	13	of	of	ADP
ajst-16324	112	14	individuals	individual	NOUN
ajst-16324	112	15	are	be	AUX
ajst-16324	112	16	simplistic	simplistic	ADJ
ajst-16324	112	17	,	,	PUNCT
ajst-16324	112	18	which	which	PRON
ajst-16324	112	19	can	can	AUX
ajst-16324	112	20	lead	lead	VERB
ajst-16324	112	21	to	to	ADP
ajst-16324	112	22	individuals	individual	NOUN
ajst-16324	112	23	of	of	ADP
ajst-16324	112	24	the	the	DET
ajst-16324	112	25	same	same	ADJ
ajst-16324	112	26	role	role	NOUN
ajst-16324	112	27	converging	converge	VERB
ajst-16324	112	28	to	to	ADP
ajst-16324	112	29	the	the	DET
ajst-16324	112	30	same	same	ADJ
ajst-16324	112	31	optimal	optimal	ADJ
ajst-16324	112	32	solution	solution	NOUN
ajst-16324	112	33	,	,	PUNCT
ajst-16324	112	34	causing	cause	VERB
ajst-16324	112	35	the	the	DET
ajst-16324	112	36	algorithm	algorithm	NOUN
ajst-16324	112	37	to	to	PART
ajst-16324	112	38	get	get	AUX
ajst-16324	112	39	stuck	stuck	ADJ
ajst-16324	112	40	in	in	ADP
ajst-16324	112	41	local	local	ADJ
ajst-16324	112	42	optima	optima	NOUN
ajst-16324	112	43	.	.	PUNCT
ajst-16324	113	1	for	for	ADP
ajst-16324	113	2	highdimensional	highdimensional	ADJ
ajst-16324	113	3	complex	complex	ADJ
ajst-16324	113	4	problems	problem	NOUN
ajst-16324	113	5	,	,	PUNCT
ajst-16324	113	6	discoverers	discoverer	NOUN
ajst-16324	113	7	only	only	ADV
ajst-16324	113	8	conduct	conduct	VERB
ajst-16324	113	9	random	random	ADJ
ajst-16324	113	10	searches	search	NOUN
ajst-16324	113	11	within	within	ADP
ajst-16324	113	12	a	a	DET
ajst-16324	113	13	broader	broad	ADJ
ajst-16324	113	14	range	range	NOUN
ajst-16324	113	15	than	than	ADP
ajst-16324	113	16	followers	follower	NOUN
ajst-16324	113	17	,	,	PUNCT
ajst-16324	113	18	and	and	CCONJ
ajst-16324	113	19	this	this	DET
ajst-16324	113	20	approach	approach	NOUN
ajst-16324	113	21	can	can	AUX
ajst-16324	113	22	limit	limit	VERB
ajst-16324	113	23	the	the	DET
ajst-16324	113	24	algorithm	algorithm	NOUN
ajst-16324	113	25	's	's	PART
ajst-16324	113	26	ability	ability	NOUN
ajst-16324	113	27	to	to	PART
ajst-16324	113	28	escape	escape	VERB
ajst-16324	113	29	local	local	ADJ
ajst-16324	113	30	optima	optima	NOUN
ajst-16324	113	31	.	.	PUNCT
ajst-16324	114	1	therefore	therefore	ADV
ajst-16324	114	2	,	,	PUNCT
ajst-16324	114	3	there	there	PRON
ajst-16324	114	4	is	be	VERB
ajst-16324	114	5	a	a	DET
ajst-16324	114	6	need	need	NOUN
ajst-16324	114	7	to	to	PART
ajst-16324	114	8	enhance	enhance	VERB
ajst-16324	114	9	the	the	DET
ajst-16324	114	10	standard	standard	ADJ
ajst-16324	114	11	sparrow	sparrow	ADJ
ajst-16324	114	12	search	search	NOUN
ajst-16324	114	13	algorithm	algorithm	NOUN
ajst-16324	114	14	to	to	PART
ajst-16324	114	15	strike	strike	VERB
ajst-16324	114	16	a	a	DET
ajst-16324	114	17	balance	balance	NOUN
ajst-16324	114	18	between	between	ADP
ajst-16324	114	19	global	global	ADJ
ajst-16324	114	20	exploration	exploration	NOUN
ajst-16324	114	21	and	and	CCONJ
ajst-16324	114	22	local	local	ADJ
ajst-16324	114	23	exploitation	exploitation	NOUN
ajst-16324	114	24	,	,	PUNCT
ajst-16324	114	25	thereby	thereby	ADV
ajst-16324	114	26	improving	improve	VERB
ajst-16324	114	27	the	the	DET
ajst-16324	114	28	algorithm	algorithm	NOUN
ajst-16324	114	29	's	's	PART
ajst-16324	114	30	search	search	NOUN
ajst-16324	114	31	efficiency	efficiency	NOUN
ajst-16324	114	32	and	and	CCONJ
ajst-16324	114	33	accuracy	accuracy	NOUN
ajst-16324	114	34	.	.	PUNCT
ajst-16324	115	1	hence	hence	ADV
ajst-16324	115	2	,	,	PUNCT
ajst-16324	115	3	the	the	DET
ajst-16324	115	4	levy	levy	NOUN
ajst-16324	115	5	flight	flight	NOUN
ajst-16324	115	6	strategy[16	strategy[16	NOUN
ajst-16324	115	7	]	]	PUNCT
ajst-16324	115	8	is	be	AUX
ajst-16324	115	9	introduced	introduce	VERB
ajst-16324	115	10	in	in	ADP
ajst-16324	115	11	the	the	DET
ajst-16324	115	12	follower	follower	NOUN
ajst-16324	115	13	position	position	NOUN
ajst-16324	115	14	update	update	NOUN
ajst-16324	115	15	.	.	PUNCT
ajst-16324	116	1	levy	levy	NOUN
ajst-16324	116	2	flight	flight	NOUN
ajst-16324	116	3	can	can	AUX
ajst-16324	116	4	assist	assist	VERB
ajst-16324	116	5	the	the	DET
ajst-16324	116	6	algorithm	algorithm	NOUN
ajst-16324	116	7	in	in	ADP
ajst-16324	116	8	searching	search	VERB
ajst-16324	116	9	for	for	ADP
ajst-16324	116	10	the	the	DET
ajst-16324	116	11	optimal	optimal	ADJ
ajst-16324	116	12	solution	solution	NOUN
ajst-16324	116	13	more	more	ADV
ajst-16324	116	14	effectively	effectively	ADV
ajst-16324	116	15	and	and	CCONJ
ajst-16324	116	16	enable	enable	VERB
ajst-16324	116	17	it	it	PRON
ajst-16324	116	18	to	to	PART
ajst-16324	116	19	traverse	traverse	VERB
ajst-16324	116	20	more	more	ADV
ajst-16324	116	21	distant	distant	ADJ
ajst-16324	116	22	regions	region	NOUN
ajst-16324	116	23	in	in	ADP
ajst-16324	116	24	the	the	DET
ajst-16324	116	25	solution	solution	NOUN
ajst-16324	116	26	space	space	NOUN
ajst-16324	116	27	during	during	ADP
ajst-16324	116	28	the	the	DET
ajst-16324	116	29	search	search	NOUN
ajst-16324	116	30	.	.	PUNCT
ajst-16324	117	1	the	the	DET
ajst-16324	117	2	random	random	ADJ
ajst-16324	117	3	step	step	NOUN
ajst-16324	117	4	size	size	NOUN
ajst-16324	117	5	for	for	ADP
ajst-16324	117	6	levy	levy	NOUN
ajst-16324	117	7	flight	flight	NOUN
ajst-16324	117	8	is	be	AUX
ajst-16324	117	9	as	as	SCONJ
ajst-16324	117	10	follows	follow	VERB
ajst-16324	117	11	:	:	PUNCT
ajst-16324	117	12	1	1	NUM
ajst-16324	117	13	/	/	SYM
ajst-16324	117	14	s	s	PART
ajst-16324	117	15	v	v	NOUN
ajst-16324	117	16			ADJ
ajst-16324	117	17			NOUN
ajst-16324	117	18			NOUN
ajst-16324	117	19	(	(	PUNCT
ajst-16324	117	20	11	11	NUM
ajst-16324	117	21	)	)	PUNCT
ajst-16324	117	22	where	where	SCONJ
ajst-16324	117	23			NOUN
ajst-16324	117	24	and	and	CCONJ
ajst-16324	117	25	v	v	NOUN
ajst-16324	117	26	are	be	AUX
ajst-16324	117	27	random	random	ADJ
ajst-16324	117	28	numbers	number	NOUN
ajst-16324	117	29	following	follow	VERB
ajst-16324	117	30	a	a	DET
ajst-16324	117	31	normal	normal	ADJ
ajst-16324	117	32	distribution	distribution	NOUN
ajst-16324	117	33	,	,	PUNCT
ajst-16324	117	34	and	and	CCONJ
ajst-16324	117	35	2~	2~	NUM
ajst-16324	117	36	(	(	PUNCT
ajst-16324	117	37	0,n	0,n	ADV
ajst-16324	117	38			ADP
ajst-16324	117	39			PROPN
ajst-16324	117	40	）	）	PUNCT
ajst-16324	118	1	，	，	PUNCT
ajst-16324	118	2	2~	2~	X
ajst-16324	118	3	(	(	PUNCT
ajst-16324	118	4	0	0	NUM
ajst-16324	118	5	,	,	PUNCT
ajst-16324	118	6	)	)	PUNCT
ajst-16324	118	7	vv	vv	ADP
ajst-16324	118	8	n	n	NOUN
ajst-16324	118	9			PROPN
ajst-16324	118	10	the	the	DET
ajst-16324	118	11	definitions	definition	NOUN
ajst-16324	118	12	of	of	ADP
ajst-16324	118	13			PUNCT
ajst-16324	118	14	and	and	CCONJ
ajst-16324	118	15	v	v	NOUN
ajst-16324	118	16	are	be	AUX
ajst-16324	118	17	as	as	SCONJ
ajst-16324	118	18	follows	follow	VERB
ajst-16324	118	19	:	:	PUNCT
ajst-16324	118	20	1/	1/	NUM
ajst-16324	118	21	(	(	PUNCT
ajst-16324	118	22	1)/2	1)/2	NUM
ajst-16324	118	23	(	(	PUNCT
ajst-16324	118	24	1	1	NUM
ajst-16324	118	25	)	)	PUNCT
ajst-16324	118	26	sin	sin	NOUN
ajst-16324	118	27	(	(	PUNCT
ajst-16324	118	28	/	/	SYM
ajst-16324	118	29	2	2	NUM
ajst-16324	118	30	)	)	PUNCT
ajst-16324	119	1	[	[	X
ajst-16324	119	2	(	(	PUNCT
ajst-16324	119	3	1	1	NUM
ajst-16324	119	4	)	)	PUNCT
ajst-16324	119	5	/	/	SYM
ajst-16324	119	6	2	2	NUM
ajst-16324	119	7	]	]	SYM
ajst-16324	119	8	2	2	NUM
ajst-16324	119	9	1v	1v	NUM
ajst-16324	119	10			NOUN
ajst-16324	119	11			NOUN
ajst-16324	119	12			PROPN
ajst-16324	119	13			PROPN
ajst-16324	119	14			NOUN
ajst-16324	119	15			PROPN
ajst-16324	119	16			PROPN
ajst-16324	119	17			PROPN
ajst-16324	119	18			NOUN
ajst-16324	119	19			ADP
ajst-16324	119	20			NOUN
ajst-16324	119	21			PROPN
ajst-16324	119	22			ADV
ajst-16324	119	23			NOUN
ajst-16324	119	24			PROPN
ajst-16324	119	25			PROPN
ajst-16324	119	26			VERB
ajst-16324	120	1			PROPN
ajst-16324	120	2			NOUN
ajst-16324	120	3			NUM
ajst-16324	120	4			NOUN
ajst-16324	120	5	(	(	PUNCT
ajst-16324	120	6	12	12	NUM
ajst-16324	120	7	)	)	PUNCT
ajst-16324	120	8	in	in	ADP
ajst-16324	120	9	the	the	DET
ajst-16324	120	10	equation	equation	NOUN
ajst-16324	120	11	,	,	PUNCT
ajst-16324	120	12			VERB
ajst-16324	120	13	represents	represent	VERB
ajst-16324	120	14	the	the	DET
ajst-16324	120	15	standard	standard	ADJ
ajst-16324	120	16	gamma	gamma	NOUN
ajst-16324	120	17	function	function	NOUN
ajst-16324	120	18	.	.	PUNCT
ajst-16324	121	1	the	the	DET
ajst-16324	121	2	value	value	NOUN
ajst-16324	121	3	of	of	ADP
ajst-16324	121	4	β	β	PRON
ajst-16324	121	5	typically	typically	ADV
ajst-16324	121	6	falls	fall	VERB
ajst-16324	121	7	within	within	ADP
ajst-16324	121	8	the	the	DET
ajst-16324	121	9	interval	interval	NOUN
ajst-16324	121	10	[	[	X
ajst-16324	121	11	0	0	NUM
ajst-16324	121	12	,	,	PUNCT
ajst-16324	121	13	2	2	NUM
ajst-16324	121	14	]	]	PUNCT
ajst-16324	121	15	,	,	PUNCT
ajst-16324	121	16	and	and	CCONJ
ajst-16324	121	17	in	in	ADP
ajst-16324	121	18	this	this	DET
ajst-16324	121	19	paper	paper	NOUN
ajst-16324	121	20	,	,	PUNCT
ajst-16324	121	21	β	β	X
ajst-16324	121	22	is	be	AUX
ajst-16324	121	23	set	set	VERB
ajst-16324	121	24	to	to	ADP
ajst-16324	121	25	1.5	1.5	NUM
ajst-16324	121	26	.	.	PUNCT
ajst-16324	122	1	after	after	ADP
ajst-16324	122	2	incorporating	incorporate	VERB
ajst-16324	122	3	levy	levy	NOUN
ajst-16324	122	4	flight	flight	NOUN
ajst-16324	122	5	for	for	ADP
ajst-16324	122	6	joiners	joiner	NOUN
ajst-16324	122	7	,	,	PUNCT
ajst-16324	122	8	their	their	PRON
ajst-16324	122	9	position	position	NOUN
ajst-16324	122	10	update	update	NOUN
ajst-16324	122	11	formula	formula	NOUN
ajst-16324	122	12	is	be	AUX
ajst-16324	122	13	as	as	SCONJ
ajst-16324	122	14	follows	follow	VERB
ajst-16324	122	15	:	:	PUNCT
ajst-16324	122	16	,	,	PUNCT
ajst-16324	122	17	2	2	NUM
ajst-16324	122	18	1	1	NUM
ajst-16324	122	19	,	,	PUNCT
ajst-16324	122	20	1	1	NUM
ajst-16324	122	21	1	1	NUM
ajst-16324	122	22	,	,	PUNCT
ajst-16324	122	23	exp	exp	NOUN
ajst-16324	122	24	2	2	NUM
ajst-16324	122	25	2	2	NUM
ajst-16324	122	26	t	t	NOUN
ajst-16324	122	27	t	t	NOUN
ajst-16324	122	28	worst	bad	ADJ
ajst-16324	123	1	i	i	PRON
ajst-16324	123	2	j	j	PROPN
ajst-16324	124	1	t	t	NOUN
ajst-16324	125	1	i	i	PRON
ajst-16324	126	1	j	j	PROPN
ajst-16324	127	1	t	t	PROPN
ajst-16324	127	2	t	t	PROPN
ajst-16324	127	3	t	t	PROPN
ajst-16324	127	4	p	p	X
ajst-16324	128	1	i	i	PRON
ajst-16324	128	2	j	j	PROPN
ajst-16324	129	1	p	p	X
ajst-16324	129	2	x	x	X
ajst-16324	129	3	x	x	PROPN
ajst-16324	129	4	n	n	PRON
ajst-16324	129	5	q	q	NOUN
ajst-16324	130	1	i	i	INTJ
ajst-16324	130	2	i	i	INTJ
ajst-16324	130	3	x	x	VERB
ajst-16324	130	4	n	n	INTJ
ajst-16324	130	5	x	x	NOUN
ajst-16324	130	6	x	x	PUNCT
ajst-16324	130	7	x	x	X
ajst-16324	130	8	a	a	DET
ajst-16324	130	9	l	l	NOUN
ajst-16324	130	10	s	s	VERB
ajst-16324	130	11	i	i	PRON
ajst-16324	130	12			PROPN
ajst-16324	130	13			ADV
ajst-16324	130	14			PUNCT
ajst-16324	130	15			PUNCT
ajst-16324	130	16			ADP
ajst-16324	130	17			NOUN
ajst-16324	130	18			VERB
ajst-16324	130	19			PROPN
ajst-16324	130	20			PUNCT
ajst-16324	131	1			PROPN
ajst-16324	131	2			X
ajst-16324	131	3			PROPN
ajst-16324	131	4			PROPN
ajst-16324	131	5			PROPN
ajst-16324	131	6			NUM
ajst-16324	131	7			NUM
ajst-16324	131	8			ADV
ajst-16324	131	9			VERB
ajst-16324	131	10			PROPN
ajst-16324	131	11			VERB
ajst-16324	131	12			VERB
ajst-16324	131	13			NUM
ajst-16324	131	14	(	(	PUNCT
ajst-16324	131	15	13	13	NUM
ajst-16324	131	16	)	)	PUNCT
ajst-16324	131	17	3.3	3.3	NUM
ajst-16324	131	18	.	.	PUNCT
ajst-16324	132	1	coverage	coverage	NOUN
ajst-16324	132	2	optimization	optimization	NOUN
ajst-16324	132	3	strategy	strategy	NOUN
ajst-16324	132	4	issa	issa	PROPN
ajst-16324	132	5	aims	aim	VERB
ajst-16324	132	6	to	to	PART
ajst-16324	132	7	maximize	maximize	VERB
ajst-16324	132	8	the	the	DET
ajst-16324	132	9	detection	detection	NOUN
ajst-16324	132	10	coverage	coverage	NOUN
ajst-16324	132	11	area	area	NOUN
ajst-16324	132	12	in	in	ADP
ajst-16324	132	13	the	the	DET
ajst-16324	132	14	water	water	NOUN
ajst-16324	132	15	domain	domain	NOUN
ajst-16324	132	16	by	by	ADP
ajst-16324	132	17	optimizing	optimize	VERB
ajst-16324	132	18	the	the	DET
ajst-16324	132	19	positions	position	NOUN
ajst-16324	132	20	of	of	ADP
ajst-16324	132	21	sensor	sensor	NOUN
ajst-16324	132	22	nodes	node	NOUN
ajst-16324	132	23	in	in	ADP
ajst-16324	132	24	the	the	DET
ajst-16324	132	25	network	network	NOUN
ajst-16324	132	26	.	.	PUNCT
ajst-16324	133	1	during	during	ADP
ajst-16324	133	2	the	the	DET
ajst-16324	133	3	optimization	optimization	NOUN
ajst-16324	133	4	process	process	NOUN
ajst-16324	133	5	,	,	PUNCT
ajst-16324	133	6	each	each	DET
ajst-16324	133	7	sparrow	sparrow	NOUN
ajst-16324	133	8	represents	represent	VERB
ajst-16324	133	9	a	a	DET
ajst-16324	133	10	set	set	NOUN
ajst-16324	133	11	of	of	ADP
ajst-16324	133	12	sensor	sensor	NOUN
ajst-16324	133	13	deployment	deployment	NOUN
ajst-16324	133	14	nodes	node	NOUN
ajst-16324	133	15	.	.	PUNCT
ajst-16324	134	1	therefore	therefore	ADV
ajst-16324	134	2	,	,	PUNCT
ajst-16324	134	3	the	the	DET
ajst-16324	134	4	number	number	NOUN
ajst-16324	134	5	of	of	ADP
ajst-16324	134	6	sparrows	sparrow	NOUN
ajst-16324	134	7	corresponds	correspond	VERB
ajst-16324	134	8	to	to	ADP
ajst-16324	134	9	the	the	DET
ajst-16324	134	10	number	number	NOUN
ajst-16324	134	11	of	of	ADP
ajst-16324	134	12	generated	generate	VERB
ajst-16324	134	13	solutions	solution	NOUN
ajst-16324	134	14	.	.	PUNCT
ajst-16324	135	1	through	through	ADP
ajst-16324	135	2	the	the	DET
ajst-16324	135	3	evaluation	evaluation	NOUN
ajst-16324	135	4	and	and	CCONJ
ajst-16324	135	5	selection	selection	NOUN
ajst-16324	135	6	of	of	ADP
ajst-16324	135	7	these	these	DET
ajst-16324	135	8	solutions	solution	NOUN
ajst-16324	135	9	,	,	PUNCT
ajst-16324	135	10	the	the	DET
ajst-16324	135	11	optimal	optimal	ADJ
ajst-16324	135	12	sparrow	sparrow	NOUN
ajst-16324	135	13	represents	represent	VERB
ajst-16324	135	14	the	the	DET
ajst-16324	135	15	best	good	ADJ
ajst-16324	135	16	coverage	coverage	NOUN
ajst-16324	135	17	scheme	scheme	NOUN
ajst-16324	135	18	.	.	PUNCT
ajst-16324	136	1	the	the	DET
ajst-16324	136	2	coverage	coverage	NOUN
ajst-16324	136	3	optimization	optimization	NOUN
ajst-16324	136	4	strategy	strategy	NOUN
ajst-16324	136	5	for	for	ADP
ajst-16324	136	6	uwsns	uwsns	ADV
ajst-16324	136	7	based	base	VERB
ajst-16324	136	8	on	on	ADP
ajst-16324	136	9	issa	issa	PROPN
ajst-16324	136	10	follows	follow	VERB
ajst-16324	136	11	the	the	DET
ajst-16324	136	12	process	process	NOUN
ajst-16324	136	13	outlined	outline	VERB
ajst-16324	136	14	below	below	ADV
ajst-16324	136	15	:	:	PUNCT
ajst-16324	136	16	a	a	DET
ajst-16324	136	17	)	)	PUNCT
ajst-16324	136	18	initialization	initialization	NOUN
ajst-16324	136	19	of	of	ADP
ajst-16324	136	20	parameters	parameter	NOUN
ajst-16324	136	21	.	.	PUNCT
ajst-16324	137	1	parameters	parameter	NOUN
ajst-16324	137	2	including	include	VERB
ajst-16324	137	3	coverage	coverage	NOUN
ajst-16324	137	4	area	area	NOUN
ajst-16324	137	5	(	(	PUNCT
ajst-16324	137	6	area	area	NOUN
ajst-16324	137	7	)	)	PUNCT
ajst-16324	137	8	,	,	PUNCT
ajst-16324	137	9	communication	communication	NOUN
ajst-16324	137	10	radius	radius	NOUN
ajst-16324	137	11	(	(	PUNCT
ajst-16324	137	12	r	r	NOUN
ajst-16324	137	13	)	)	PUNCT
ajst-16324	137	14	,	,	PUNCT
ajst-16324	137	15	number	number	NOUN
ajst-16324	137	16	of	of	ADP
ajst-16324	137	17	nodes	node	NOUN
ajst-16324	137	18	(	(	PUNCT
ajst-16324	137	19	n	n	CCONJ
ajst-16324	137	20	)	)	PUNCT
ajst-16324	137	21	,	,	PUNCT
ajst-16324	137	22	population	population	NOUN
ajst-16324	137	23	size	size	NOUN
ajst-16324	137	24	(	(	PUNCT
ajst-16324	137	25	pop	pop	NOUN
ajst-16324	137	26	)	)	PUNCT
ajst-16324	137	27	,	,	PUNCT
ajst-16324	137	28	maximum	maximum	ADJ
ajst-16324	137	29	iteration(maxiteration	iteration(maxiteration	NOUN
ajst-16324	137	30	)	)	PUNCT
ajst-16324	137	31	,	,	PUNCT
ajst-16324	137	32	spatial	spatial	ADJ
ajst-16324	137	33	dimension	dimension	NOUN
ajst-16324	137	34	(	(	PUNCT
ajst-16324	137	35	dim	dim	PROPN
ajst-16324	137	36	)	)	PUNCT
ajst-16324	137	37	,	,	PUNCT
ajst-16324	137	38	the	the	DET
ajst-16324	137	39	number	number	NOUN
ajst-16324	137	40	of	of	ADP
ajst-16324	137	41	producers	producer	NOUN
ajst-16324	137	42	(	(	PUNCT
ajst-16324	137	43	pd	pd	PROPN
ajst-16324	137	44	)	)	PUNCT
ajst-16324	137	45	,	,	PUNCT
ajst-16324	137	46	the	the	DET
ajst-16324	137	47	number	number	NOUN
ajst-16324	137	48	of	of	ADP
ajst-16324	137	49	sparrows	sparrow	NOUN
ajst-16324	137	50	who	who	PRON
ajst-16324	137	51	perceive	perceive	VERB
ajst-16324	137	52	the	the	DET
ajst-16324	137	53	danger	danger	NOUN
ajst-16324	137	54	(	(	PUNCT
ajst-16324	137	55	sd	sd	NOUN
ajst-16324	137	56	)	)	PUNCT
ajst-16324	137	57	,	,	PUNCT
ajst-16324	137	58	safety	safety	NOUN
ajst-16324	137	59	threshold	threshold	NOUN
ajst-16324	137	60	(	(	PUNCT
ajst-16324	137	61	st	st	PROPN
ajst-16324	137	62	)	)	PUNCT
ajst-16324	137	63	,	,	PUNCT
ajst-16324	137	64	etc	etc	X
ajst-16324	137	65	.	.	X
ajst-16324	137	66	,	,	PUNCT
ajst-16324	137	67	are	be	AUX
ajst-16324	137	68	initialized	initialize	VERB
ajst-16324	137	69	.	.	PUNCT
ajst-16324	138	1	b	b	X
ajst-16324	138	2	)	)	PUNCT
ajst-16324	138	3	population	population	NOUN
ajst-16324	138	4	initialization	initialization	NOUN
ajst-16324	138	5	.	.	PUNCT
ajst-16324	139	1	the	the	DET
ajst-16324	139	2	sparrow	sparrow	ADJ
ajst-16324	139	3	population	population	NOUN
ajst-16324	139	4	is	be	AUX
ajst-16324	139	5	randomly	randomly	ADV
ajst-16324	139	6	initialized	initialize	VERB
ajst-16324	139	7	,	,	PUNCT
ajst-16324	139	8	and	and	CCONJ
ajst-16324	139	9	their	their	PRON
ajst-16324	139	10	fitness	fitness	NOUN
ajst-16324	139	11	values	value	NOUN
ajst-16324	139	12	are	be	AUX
ajst-16324	139	13	computed	compute	VERB
ajst-16324	139	14	based	base	VERB
ajst-16324	139	15	on	on	ADP
ajst-16324	139	16	equation	equation	NOUN
ajst-16324	139	17	(	(	PUNCT
ajst-16324	139	18	5	5	NUM
ajst-16324	139	19	)	)	PUNCT
ajst-16324	139	20	.	.	PUNCT
ajst-16324	140	1	sparrows	sparrow	NOUN
ajst-16324	140	2	are	be	AUX
ajst-16324	140	3	sorted	sort	VERB
ajst-16324	140	4	based	base	VERB
ajst-16324	140	5	on	on	ADP
ajst-16324	140	6	their	their	PRON
ajst-16324	140	7	fitness	fitness	NOUN
ajst-16324	140	8	values	value	NOUN
ajst-16324	140	9	to	to	PART
ajst-16324	140	10	identify	identify	VERB
ajst-16324	140	11	the	the	DET
ajst-16324	140	12	best	good	ADJ
ajst-16324	140	13	and	and	CCONJ
ajst-16324	140	14	worst	bad	ADJ
ajst-16324	140	15	individuals	individual	NOUN
ajst-16324	140	16	.	.	PUNCT
ajst-16324	141	1	c	c	X
ajst-16324	141	2	)	)	PUNCT
ajst-16324	141	3	position	position	NOUN
ajst-16324	141	4	update	update	NOUN
ajst-16324	141	5	.	.	PUNCT
ajst-16324	142	1	discoverers	discoverer	NOUN
ajst-16324	142	2	update	update	VERB
ajst-16324	142	3	their	their	PRON
ajst-16324	142	4	positions	position	NOUN
ajst-16324	142	5	using	use	VERB
ajst-16324	142	6	equation	equation	NOUN
ajst-16324	142	7	(	(	PUNCT
ajst-16324	142	8	10	10	NUM
ajst-16324	142	9	)	)	PUNCT
ajst-16324	142	10	,	,	PUNCT
ajst-16324	142	11	joiners	joiner	NOUN
ajst-16324	142	12	update	update	VERB
ajst-16324	142	13	their	their	PRON
ajst-16324	142	14	positions	position	NOUN
ajst-16324	142	15	using	use	VERB
ajst-16324	142	16	equation	equation	NOUN
ajst-16324	142	17	(	(	PUNCT
ajst-16324	142	18	11	11	NUM
ajst-16324	142	19	)	)	PUNCT
ajst-16324	142	20	,	,	PUNCT
ajst-16324	142	21	and	and	CCONJ
ajst-16324	142	22	sentinels	sentinel	NOUN
ajst-16324	142	23	update	update	VERB
ajst-16324	142	24	their	their	PRON
ajst-16324	142	25	positions	position	NOUN
ajst-16324	142	26	using	use	VERB
ajst-16324	142	27	equation	equation	NOUN
ajst-16324	142	28	(	(	PUNCT
ajst-16324	142	29	12	12	NUM
ajst-16324	142	30	)	)	PUNCT
ajst-16324	142	31	.	.	PUNCT
ajst-16324	143	1	d	d	X
ajst-16324	143	2	)	)	PUNCT
ajst-16324	143	3	check	check	NOUN
ajst-16324	143	4	if	if	SCONJ
ajst-16324	143	5	the	the	DET
ajst-16324	143	6	current	current	ADJ
ajst-16324	143	7	iteration	iteration	NOUN
ajst-16324	143	8	count	count	NOUN
ajst-16324	143	9	has	have	AUX
ajst-16324	143	10	reached	reach	VERB
ajst-16324	143	11	the	the	DET
ajst-16324	143	12	predefined	predefine	VERB
ajst-16324	143	13	maximum	maximum	ADJ
ajst-16324	143	14	value	value	NOUN
ajst-16324	143	15	.	.	PUNCT
ajst-16324	144	1	if	if	SCONJ
ajst-16324	144	2	it	it	PRON
ajst-16324	144	3	has	have	VERB
ajst-16324	144	4	,	,	PUNCT
ajst-16324	144	5	the	the	DET
ajst-16324	144	6	execution	execution	NOUN
ajst-16324	144	7	stops	stop	VERB
ajst-16324	144	8	,	,	PUNCT
ajst-16324	144	9	and	and	CCONJ
ajst-16324	144	10	the	the	DET
ajst-16324	144	11	results	result	NOUN
ajst-16324	144	12	are	be	AUX
ajst-16324	144	13	returned	return	VERB
ajst-16324	144	14	.	.	PUNCT
ajst-16324	145	1	otherwise	otherwise	ADV
ajst-16324	145	2	,	,	PUNCT
ajst-16324	145	3	proceed	proceed	VERB
ajst-16324	145	4	to	to	PART
ajst-16324	145	5	step	step	VERB
ajst-16324	145	6	3	3	NUM
ajst-16324	145	7	)	)	PUNCT
ajst-16324	145	8	for	for	ADP
ajst-16324	145	9	the	the	DET
ajst-16324	145	10	next	next	ADJ
ajst-16324	145	11	iteration	iteration	NOUN
ajst-16324	145	12	.	.	PUNCT
ajst-16324	146	1	the	the	DET
ajst-16324	146	2	corresponding	corresponding	ADJ
ajst-16324	146	3	workflow	workflow	NOUN
ajst-16324	146	4	for	for	ADP
ajst-16324	146	5	the	the	DET
ajst-16324	146	6	above	above	ADJ
ajst-16324	146	7	steps	step	NOUN
ajst-16324	146	8	is	be	AUX
ajst-16324	146	9	107	107	NUM
ajst-16324	146	10	depicted	depict	VERB
ajst-16324	146	11	in	in	ADP
ajst-16324	146	12	figure	figure	NOUN
ajst-16324	146	13	2	2	NUM
ajst-16324	146	14	.	.	PUNCT
ajst-16324	147	1	start	start	VERB
ajst-16324	147	2	set	set	VERB
ajst-16324	147	3	algorithm	algorithm	NOUN
ajst-16324	147	4	parameters	parameter	NOUN
ajst-16324	147	5	such	such	ADJ
ajst-16324	147	6	as	as	ADP
ajst-16324	147	7	population	population	NOUN
ajst-16324	147	8	size	size	NOUN
ajst-16324	147	9	,	,	PUNCT
ajst-16324	147	10	number	number	NOUN
ajst-16324	147	11	of	of	ADP
ajst-16324	147	12	iterations	iteration	NOUN
ajst-16324	147	13	,	,	PUNCT
ajst-16324	147	14	safety	safety	NOUN
ajst-16324	147	15	threshold	threshold	NOUN
ajst-16324	147	16	,	,	PUNCT
ajst-16324	147	17	coverage	coverage	NOUN
ajst-16324	147	18	area	area	NOUN
ajst-16324	147	19	,	,	PUNCT
ajst-16324	147	20	etc	etc	X
ajst-16324	147	21	the	the	DET
ajst-16324	147	22	population	population	NOUN
ajst-16324	147	23	is	be	AUX
ajst-16324	147	24	initialized	initialize	VERB
ajst-16324	147	25	randomly	randomly	ADV
ajst-16324	147	26	,	,	PUNCT
ajst-16324	147	27	the	the	DET
ajst-16324	147	28	fitness	fitness	NOUN
ajst-16324	147	29	value	value	NOUN
ajst-16324	147	30	is	be	AUX
ajst-16324	147	31	calculated	calculate	VERB
ajst-16324	147	32	,	,	PUNCT
ajst-16324	147	33	and	and	CCONJ
ajst-16324	147	34	the	the	DET
ajst-16324	147	35	global	global	ADJ
ajst-16324	147	36	best	good	ADJ
ajst-16324	147	37	and	and	CCONJ
ajst-16324	147	38	worst	bad	ADJ
ajst-16324	147	39	individuals	individual	NOUN
ajst-16324	147	40	in	in	ADP
ajst-16324	147	41	the	the	DET
ajst-16324	147	42	population	population	NOUN
ajst-16324	147	43	are	be	AUX
ajst-16324	147	44	selected	select	VERB
ajst-16324	147	45	the	the	DET
ajst-16324	147	46	update	update	NOUN
ajst-16324	147	47	of	of	ADP
ajst-16324	147	48	discoverer	discover	ADJ
ajst-16324	147	49	positions	position	NOUN
ajst-16324	147	50	is	be	AUX
ajst-16324	147	51	carried	carry	VERB
ajst-16324	147	52	out	out	ADP
ajst-16324	147	53	through	through	ADP
ajst-16324	147	54	equation	equation	NOUN
ajst-16324	147	55	(	(	PUNCT
ajst-16324	147	56	10	10	NUM
ajst-16324	147	57	)	)	PUNCT
ajst-16324	147	58	,	,	PUNCT
ajst-16324	147	59	while	while	SCONJ
ajst-16324	147	60	equation	equation	NOUN
ajst-16324	147	61	(	(	PUNCT
ajst-16324	147	62	11	11	NUM
ajst-16324	147	63	)	)	PUNCT
ajst-16324	147	64	is	be	AUX
ajst-16324	147	65	employed	employ	VERB
ajst-16324	147	66	to	to	PART
ajst-16324	147	67	update	update	VERB
ajst-16324	147	68	joiner	joiner	NOUN
ajst-16324	147	69	positions	position	NOUN
ajst-16324	147	70	,	,	PUNCT
ajst-16324	147	71	and	and	CCONJ
ajst-16324	147	72	equation	equation	NOUN
ajst-16324	147	73	(	(	PUNCT
ajst-16324	147	74	12	12	NUM
ajst-16324	147	75	)	)	PUNCT
ajst-16324	147	76	is	be	AUX
ajst-16324	147	77	utilized	utilize	VERB
ajst-16324	147	78	to	to	PART
ajst-16324	147	79	update	update	VERB
ajst-16324	147	80	sentinel	sentinel	ADJ
ajst-16324	147	81	positions	position	NOUN
ajst-16324	147	82	whether	whether	SCONJ
ajst-16324	147	83	 	 	SPACE
ajst-16324	147	84	to	to	PART
ajst-16324	147	85	 	 	SPACE
ajst-16324	147	86	reach	reach	VERB
ajst-16324	147	87	 	 	SPACE
ajst-16324	147	88	the	the	DET
ajst-16324	147	89	 	 	SPACE
ajst-16324	147	90	maximum	maximum	ADJ
ajst-16324	147	91	 	 	SPACE
ajst-16324	147	92	number	number	NOUN
ajst-16324	147	93	 	 	SPACE
ajst-16324	147	94	of	of	ADP
ajst-16324	147	95	 	 	SPACE
ajst-16324	147	96	iterations	iteration	NOUN
ajst-16324	148	1	end	end	VERB
ajst-16324	148	2	no	no	INTJ
ajst-16324	148	3	yes	yes	INTJ
ajst-16324	148	4	figure	figure	NOUN
ajst-16324	148	5	2	2	NUM
ajst-16324	148	6	.	.	PUNCT
ajst-16324	148	7	coverage	coverage	NOUN
ajst-16324	148	8	optimization	optimization	NOUN
ajst-16324	148	9	strategy	strategy	NOUN
ajst-16324	148	10	flowchart	flowchart	PROPN
ajst-16324	148	11	4	4	X
ajst-16324	148	12	.	.	PUNCT
ajst-16324	149	1	literature	literature	NOUN
ajst-16324	149	2	references	reference	NOUN
ajst-16324	149	3	4.1	4.1	NUM
ajst-16324	149	4	.	.	PUNCT
ajst-16324	150	1	experimental	experimental	ADJ
ajst-16324	150	2	environment	environment	NOUN
ajst-16324	150	3	it	it	PRON
ajst-16324	150	4	is	be	AUX
ajst-16324	150	5	assumed	assume	VERB
ajst-16324	150	6	that	that	SCONJ
ajst-16324	150	7	the	the	DET
ajst-16324	150	8	monitoring	monitoring	NOUN
ajst-16324	150	9	area	area	NOUN
ajst-16324	150	10	is	be	AUX
ajst-16324	150	11	a	a	DET
ajst-16324	150	12	cube	cube	NOUN
ajst-16324	150	13	with	with	ADP
ajst-16324	150	14	three	three	NUM
ajst-16324	150	15	sides	side	NOUN
ajst-16324	150	16	length	length	NOUN
ajst-16324	150	17	l	l	NOUN
ajst-16324	151	1	=	=	NOUN
ajst-16324	151	2	100	100	NUM
ajst-16324	151	3	,	,	PUNCT
ajst-16324	151	4	the	the	DET
ajst-16324	151	5	number	number	NOUN
ajst-16324	151	6	of	of	ADP
ajst-16324	151	7	underwater	underwater	ADJ
ajst-16324	151	8	sensor	sensor	NOUN
ajst-16324	151	9	nodes	nod	VERB
ajst-16324	151	10	n	n	PRON
ajst-16324	151	11	is	be	AUX
ajst-16324	151	12	10,20,30,40,50	10,20,30,40,50	NUM
ajst-16324	151	13	respectively	respectively	ADV
ajst-16324	151	14	,	,	PUNCT
ajst-16324	151	15	and	and	CCONJ
ajst-16324	151	16	the	the	DET
ajst-16324	151	17	sensing	sense	VERB
ajst-16324	151	18	radius	radius	NOUN
ajst-16324	151	19	of	of	ADP
ajst-16324	151	20	underwater	underwater	ADJ
ajst-16324	151	21	sensor	sensor	NOUN
ajst-16324	151	22	r	r	NOUN
ajst-16324	151	23	=	=	NOUN
ajst-16324	151	24	15	15	NUM
ajst-16324	151	25	.	.	PUNCT
ajst-16324	152	1	the	the	DET
ajst-16324	152	2	sparrow	sparrow	ADJ
ajst-16324	152	3	search	search	NOUN
ajst-16324	152	4	algorithm	algorithm	NOUN
ajst-16324	152	5	parameter	parameter	NOUN
ajst-16324	152	6	settings	setting	NOUN
ajst-16324	152	7	are	be	AUX
ajst-16324	152	8	shown	show	VERB
ajst-16324	152	9	in	in	ADP
ajst-16324	152	10	table	table	NOUN
ajst-16324	152	11	1	1	NUM
ajst-16324	152	12	.	.	PUNCT
ajst-16324	153	1	in	in	ADP
ajst-16324	153	2	this	this	DET
ajst-16324	153	3	paper	paper	NOUN
ajst-16324	153	4	,	,	PUNCT
ajst-16324	153	5	matlab	matlab	PROPN
ajst-16324	153	6	r2018a	r2018a	PROPN
ajst-16324	153	7	software	software	NOUN
ajst-16324	153	8	is	be	AUX
ajst-16324	153	9	used	use	VERB
ajst-16324	153	10	for	for	ADP
ajst-16324	153	11	simulation	simulation	NOUN
ajst-16324	153	12	experiments	experiment	NOUN
ajst-16324	153	13	to	to	PART
ajst-16324	153	14	evaluate	evaluate	VERB
ajst-16324	153	15	the	the	DET
ajst-16324	153	16	performance	performance	NOUN
ajst-16324	153	17	of	of	ADP
ajst-16324	153	18	issa	issa	NOUN
ajst-16324	153	19	in	in	ADP
ajst-16324	153	20	uwns	uwn	NOUN
ajst-16324	153	21	node	node	PROPN
ajst-16324	153	22	coverage	coverage	NOUN
ajst-16324	153	23	.	.	PUNCT
ajst-16324	154	1	table	table	NOUN
ajst-16324	154	2	1	1	NUM
ajst-16324	154	3	.	.	PUNCT
ajst-16324	154	4	algorithm	algorithm	NOUN
ajst-16324	154	5	parameter	parameter	NOUN
ajst-16324	154	6	settings	setting	NOUN
ajst-16324	154	7	parameter	parameter	PROPN
ajst-16324	154	8	name	name	NOUN
ajst-16324	154	9	parameter	parameter	NOUN
ajst-16324	154	10	values	value	NOUN
ajst-16324	154	11	pop	pop	VERB
ajst-16324	154	12	30	30	NUM
ajst-16324	154	13	max	max	NOUN
ajst-16324	154	14	-	-	PUNCT
ajst-16324	154	15	iteration	iteration	NOUN
ajst-16324	154	16	50	50	NUM
ajst-16324	154	17	pd	pd	NOUN
ajst-16324	154	18	0.2	0.2	NUM
ajst-16324	154	19	sd	sd	NOUN
ajst-16324	154	20	0.2	0.2	NUM
ajst-16324	154	21	st	st	PROPN
ajst-16324	154	22	0.7	0.7	NUM
ajst-16324	154	23	4.2	4.2	NUM
ajst-16324	154	24	.	.	PUNCT
ajst-16324	155	1	experimental	experimental	ADJ
ajst-16324	155	2	environment	environment	NOUN
ajst-16324	155	3	figure	figure	NOUN
ajst-16324	155	4	3	3	NUM
ajst-16324	155	5	.	.	PUNCT
ajst-16324	155	6	shows	show	VERB
ajst-16324	155	7	the	the	DET
ajst-16324	155	8	simulation	simulation	NOUN
ajst-16324	155	9	results	result	NOUN
ajst-16324	155	10	of	of	ADP
ajst-16324	155	11	the	the	DET
ajst-16324	155	12	sensor	sensor	NOUN
ajst-16324	155	13	node	node	NOUN
ajst-16324	155	14	deployment	deployment	NOUN
ajst-16324	155	15	without	without	ADP
ajst-16324	155	16	optimization	optimization	NOUN
ajst-16324	155	17	when	when	SCONJ
ajst-16324	155	18	n=30	n=30	X
ajst-16324	155	19	.	.	PUNCT
ajst-16324	156	1	the	the	DET
ajst-16324	156	2	simulation	simulation	NOUN
ajst-16324	156	3	results	result	NOUN
ajst-16324	156	4	show	show	VERB
ajst-16324	156	5	that	that	SCONJ
ajst-16324	156	6	there	there	PRON
ajst-16324	156	7	is	be	VERB
ajst-16324	156	8	an	an	DET
ajst-16324	156	9	overlap	overlap	NOUN
ajst-16324	156	10	in	in	ADP
ajst-16324	156	11	the	the	DET
ajst-16324	156	12	sensing	sense	VERB
ajst-16324	156	13	range	range	NOUN
ajst-16324	156	14	of	of	ADP
ajst-16324	156	15	sensor	sensor	NOUN
ajst-16324	156	16	nodes	node	NOUN
ajst-16324	156	17	,	,	PUNCT
ajst-16324	156	18	which	which	PRON
ajst-16324	156	19	leads	lead	VERB
ajst-16324	156	20	to	to	ADP
ajst-16324	156	21	unnecessary	unnecessary	ADJ
ajst-16324	156	22	waste	waste	NOUN
ajst-16324	156	23	of	of	ADP
ajst-16324	156	24	resources	resource	NOUN
ajst-16324	156	25	.	.	PUNCT
ajst-16324	157	1	furthermore	furthermore	ADV
ajst-16324	157	2	,	,	PUNCT
ajst-16324	157	3	the	the	DET
ajst-16324	157	4	distance	distance	NOUN
ajst-16324	157	5	between	between	ADP
ajst-16324	157	6	some	some	DET
ajst-16324	157	7	sensor	sensor	NOUN
ajst-16324	157	8	nodes	node	NOUN
ajst-16324	157	9	is	be	AUX
ajst-16324	157	10	too	too	ADV
ajst-16324	157	11	far	far	ADV
ajst-16324	157	12	to	to	PART
ajst-16324	157	13	communicate	communicate	VERB
ajst-16324	157	14	,	,	PUNCT
ajst-16324	157	15	which	which	PRON
ajst-16324	157	16	reduces	reduce	VERB
ajst-16324	157	17	the	the	DET
ajst-16324	157	18	connectivity	connectivity	NOUN
ajst-16324	157	19	of	of	ADP
ajst-16324	157	20	the	the	DET
ajst-16324	157	21	sensor	sensor	NOUN
ajst-16324	157	22	.	.	PUNCT
ajst-16324	158	1	figure	figure	NOUN
ajst-16324	158	2	3	3	NUM
ajst-16324	158	3	.	.	PUNCT
ajst-16324	158	4	unoptimized	unoptimized	ADJ
ajst-16324	158	5	sensor	sensor	NOUN
ajst-16324	158	6	node	node	NOUN
ajst-16324	158	7	deployment	deployment	NOUN
ajst-16324	158	8	results	result	NOUN
ajst-16324	158	9	(	(	PUNCT
ajst-16324	158	10	n=30	n=30	NOUN
ajst-16324	158	11	)	)	PUNCT
ajst-16324	158	12	figure	figure	NOUN
ajst-16324	158	13	4	4	NUM
ajst-16324	158	14	.	.	PUNCT
ajst-16324	159	1	shows	show	VERB
ajst-16324	159	2	the	the	DET
ajst-16324	159	3	deployment	deployment	ADJ
ajst-16324	159	4	effect	effect	NOUN
ajst-16324	159	5	of	of	ADP
ajst-16324	159	6	sensor	sensor	NOUN
ajst-16324	159	7	nodes	node	NOUN
ajst-16324	159	8	optimized	optimize	VERB
ajst-16324	159	9	by	by	ADP
ajst-16324	159	10	issa	issa	NOUN
ajst-16324	159	11	when	when	SCONJ
ajst-16324	159	12	n	n	PROPN
ajst-16324	159	13	=	=	SYM
ajst-16324	159	14	30	30	NUM
ajst-16324	159	15	.	.	PUNCT
ajst-16324	160	1	after	after	ADP
ajst-16324	160	2	issa	issa	PROPN
ajst-16324	160	3	optimization	optimization	NOUN
ajst-16324	160	4	,	,	PUNCT
ajst-16324	160	5	the	the	DET
ajst-16324	160	6	overlap	overlap	NOUN
ajst-16324	160	7	among	among	ADP
ajst-16324	160	8	sensor	sensor	NOUN
ajst-16324	160	9	nodes	node	NOUN
ajst-16324	160	10	observed	observe	VERB
ajst-16324	160	11	in	in	ADP
ajst-16324	160	12	fig	fig	NOUN
ajst-16324	160	13	.	.	PUNCT
ajst-16324	161	1	3	3	NUM
ajst-16324	161	2	is	be	AUX
ajst-16324	161	3	eliminated	eliminate	VERB
ajst-16324	161	4	,	,	PUNCT
ajst-16324	161	5	ensuring	ensure	VERB
ajst-16324	161	6	the	the	DET
ajst-16324	161	7	connectivity	connectivity	NOUN
ajst-16324	161	8	of	of	ADP
ajst-16324	161	9	the	the	DET
ajst-16324	161	10	sensor	sensor	NOUN
ajst-16324	161	11	network	network	NOUN
ajst-16324	161	12	across	across	ADP
ajst-16324	161	13	the	the	DET
ajst-16324	161	14	entire	entire	ADJ
ajst-16324	161	15	deployment	deployment	NOUN
ajst-16324	161	16	area	area	NOUN
ajst-16324	161	17	.	.	PUNCT
ajst-16324	162	1	the	the	DET
ajst-16324	162	2	optimized	optimize	VERB
ajst-16324	162	3	deployment	deployment	NOUN
ajst-16324	162	4	makes	make	VERB
ajst-16324	162	5	the	the	DET
ajst-16324	162	6	sensor	sensor	NOUN
ajst-16324	162	7	nodes	nod	VERB
ajst-16324	162	8	evenly	evenly	ADV
ajst-16324	162	9	distributed	distribute	VERB
ajst-16324	162	10	.	.	PUNCT
ajst-16324	163	1	from	from	ADP
ajst-16324	163	2	the	the	DET
ajst-16324	163	3	results	result	NOUN
ajst-16324	163	4	of	of	ADP
ajst-16324	163	5	figure	figure	NOUN
ajst-16324	163	6	5	5	NUM
ajst-16324	163	7	,	,	PUNCT
ajst-16324	163	8	it	it	PRON
ajst-16324	163	9	can	can	AUX
ajst-16324	163	10	be	be	AUX
ajst-16324	163	11	seen	see	VERB
ajst-16324	163	12	that	that	SCONJ
ajst-16324	163	13	after	after	ADP
ajst-16324	163	14	optimization	optimization	NOUN
ajst-16324	163	15	,	,	PUNCT
ajst-16324	163	16	the	the	DET
ajst-16324	163	17	coverage	coverage	NOUN
ajst-16324	163	18	of	of	ADP
ajst-16324	163	19	sensor	sensor	NOUN
ajst-16324	163	20	networks	network	NOUN
ajst-16324	163	21	has	have	AUX
ajst-16324	163	22	increased	increase	VERB
ajst-16324	163	23	significantly	significantly	ADV
ajst-16324	163	24	,	,	PUNCT
ajst-16324	163	25	which	which	PRON
ajst-16324	163	26	has	have	AUX
ajst-16324	163	27	been	be	AUX
ajst-16324	163	28	significantly	significantly	ADV
ajst-16324	163	29	improved	improve	VERB
ajst-16324	163	30	compared	compare	VERB
ajst-16324	163	31	with	with	ADP
ajst-16324	163	32	that	that	PRON
ajst-16324	163	33	before	before	ADP
ajst-16324	163	34	optimization	optimization	NOUN
ajst-16324	163	35	.	.	PUNCT
ajst-16324	164	1	when	when	SCONJ
ajst-16324	164	2	the	the	DET
ajst-16324	164	3	number	number	NOUN
ajst-16324	164	4	of	of	ADP
ajst-16324	164	5	nodes	node	NOUN
ajst-16324	164	6	is	be	AUX
ajst-16324	164	7	40	40	NUM
ajst-16324	164	8	and	and	CCONJ
ajst-16324	164	9	50	50	NUM
ajst-16324	164	10	,	,	PUNCT
ajst-16324	164	11	the	the	DET
ajst-16324	164	12	improvement	improvement	NOUN
ajst-16324	164	13	effect	effect	NOUN
ajst-16324	164	14	is	be	AUX
ajst-16324	164	15	the	the	DET
ajst-16324	164	16	most	most	ADV
ajst-16324	164	17	obvious	obvious	ADJ
ajst-16324	164	18	,	,	PUNCT
ajst-16324	164	19	which	which	PRON
ajst-16324	164	20	can	can	AUX
ajst-16324	164	21	be	be	AUX
ajst-16324	164	22	improved	improve	VERB
ajst-16324	164	23	by	by	ADP
ajst-16324	164	24	nearly	nearly	ADV
ajst-16324	164	25	13.8	13.8	NUM
ajst-16324	164	26	%	%	NOUN
ajst-16324	164	27	.	.	PUNCT
ajst-16324	165	1	figure	figure	NOUN
ajst-16324	165	2	4	4	NUM
ajst-16324	165	3	.	.	NOUN
ajst-16324	165	4	optimized	optimize	VERB
ajst-16324	165	5	sensor	sensor	NOUN
ajst-16324	165	6	node	node	NOUN
ajst-16324	165	7	deployment	deployment	NOUN
ajst-16324	165	8	results	result	NOUN
ajst-16324	165	9	(	(	PUNCT
ajst-16324	165	10	n=30	n=30	NOUN
ajst-16324	165	11	)	)	PUNCT
ajst-16324	165	12	figure	figure	NOUN
ajst-16324	165	13	5	5	NUM
ajst-16324	165	14	.	.	PUNCT
ajst-16324	165	15	coverage	coverage	NOUN
ajst-16324	165	16	rates	rate	NOUN
ajst-16324	165	17	for	for	ADP
ajst-16324	165	18	different	different	ADJ
ajst-16324	165	19	numbers	number	NOUN
ajst-16324	165	20	of	of	ADP
ajst-16324	165	21	sensor	sensor	NOUN
ajst-16324	165	22	nodes	node	NOUN
ajst-16324	165	23	under	under	ADP
ajst-16324	165	24	the	the	DET
ajst-16324	165	25	issa	issa	ADJ
ajst-16324	165	26	algorithm	algorithm	NOUN
ajst-16324	165	27	node	node	ADJ
ajst-16324	165	28	utilization	utilization	NOUN
ajst-16324	165	29	in	in	ADP
ajst-16324	165	30	sensor	sensor	NOUN
ajst-16324	165	31	networks	network	NOUN
ajst-16324	165	32	is	be	AUX
ajst-16324	165	33	an	an	DET
ajst-16324	165	34	important	important	ADJ
ajst-16324	165	35	index	index	NOUN
ajst-16324	165	36	to	to	PART
ajst-16324	165	37	evaluate	evaluate	VERB
ajst-16324	165	38	the	the	DET
ajst-16324	165	39	degree	degree	NOUN
ajst-16324	165	40	of	of	ADP
ajst-16324	165	41	redundancy	redundancy	NOUN
ajst-16324	165	42	,	,	PUNCT
ajst-16324	165	43	which	which	PRON
ajst-16324	165	44	is	be	AUX
ajst-16324	165	45	determined	determine	VERB
ajst-16324	165	46	by	by	ADP
ajst-16324	165	47	comparing	compare	VERB
ajst-16324	165	48	the	the	DET
ajst-16324	165	49	actual	actual	ADJ
ajst-16324	165	50	coverage	coverage	NOUN
ajst-16324	165	51	with	with	ADP
ajst-16324	165	52	the	the	DET
ajst-16324	165	53	theoretical	theoretical	ADJ
ajst-16324	165	54	coverage	coverage	NOUN
ajst-16324	165	55	.	.	PUNCT
ajst-16324	166	1	the	the	DET
ajst-16324	166	2	higher	high	ADJ
ajst-16324	166	3	node	node	ADJ
ajst-16324	166	4	utilization	utilization	NOUN
ajst-16324	166	5	indicates	indicate	VERB
ajst-16324	166	6	that	that	SCONJ
ajst-16324	166	7	the	the	DET
ajst-16324	166	8	utilization	utilization	NOUN
ajst-16324	166	9	of	of	ADP
ajst-16324	166	10	sensor	sensor	NOUN
ajst-16324	166	11	networks	network	NOUN
ajst-16324	166	12	is	be	AUX
ajst-16324	166	13	more	more	ADV
ajst-16324	166	14	efficient	efficient	ADJ
ajst-16324	166	15	,	,	PUNCT
ajst-16324	166	16	thereby	thereby	ADV
ajst-16324	166	17	reducing	reduce	VERB
ajst-16324	166	18	0	0	NUM
ajst-16324	166	19	0.2	0.2	NUM
ajst-16324	166	20	0.4	0.4	NUM
ajst-16324	166	21	0.6	0.6	NUM
ajst-16324	166	22	0.8	0.8	NUM
ajst-16324	166	23	10	10	NUM
ajst-16324	166	24	20	20	NUM
ajst-16324	166	25	30	30	NUM
ajst-16324	166	26	40	40	NUM
ajst-16324	166	27	50c	50c	NOUN
ajst-16324	166	28	ov	ov	VERB
ajst-16324	166	29	er	er	INTJ
ajst-16324	166	30	ag	ag	PROPN
ajst-16324	166	31	e	e	PROPN
ajst-16324	166	32	ra	ra	PROPN
ajst-16324	166	33	te	te	INTJ
ajst-16324	166	34	number	number	NOUN
ajst-16324	166	35	of	of	ADP
ajst-16324	166	36	sensors	sensor	NOUN
ajst-16324	166	37	before	before	ADP
ajst-16324	166	38	optimization	optimization	NOUN
ajst-16324	166	39	after	after	ADP
ajst-16324	166	40	optimization	optimization	NOUN
ajst-16324	166	41	108	108	NUM
ajst-16324	166	42	redundancy	redundancy	NOUN
ajst-16324	166	43	and	and	CCONJ
ajst-16324	166	44	overlap	overlap	NOUN
ajst-16324	166	45	.	.	PUNCT
ajst-16324	167	1	in	in	ADP
ajst-16324	167	2	other	other	ADJ
ajst-16324	167	3	words	word	NOUN
ajst-16324	167	4	,	,	PUNCT
ajst-16324	167	5	when	when	SCONJ
ajst-16324	167	6	the	the	DET
ajst-16324	167	7	node	node	ADJ
ajst-16324	167	8	utilization	utilization	NOUN
ajst-16324	167	9	increases	increase	NOUN
ajst-16324	167	10	,	,	PUNCT
ajst-16324	167	11	it	it	PRON
ajst-16324	167	12	means	mean	VERB
ajst-16324	167	13	that	that	SCONJ
ajst-16324	167	14	the	the	DET
ajst-16324	167	15	utilization	utilization	NOUN
ajst-16324	167	16	of	of	ADP
ajst-16324	167	17	sensor	sensor	NOUN
ajst-16324	167	18	nodes	node	NOUN
ajst-16324	167	19	is	be	AUX
ajst-16324	167	20	more	more	ADV
ajst-16324	167	21	effective	effective	ADJ
ajst-16324	167	22	,	,	PUNCT
ajst-16324	167	23	which	which	PRON
ajst-16324	167	24	effectively	effectively	ADV
ajst-16324	167	25	avoids	avoid	VERB
ajst-16324	167	26	the	the	DET
ajst-16324	167	27	waste	waste	NOUN
ajst-16324	167	28	of	of	ADP
ajst-16324	167	29	resources	resource	NOUN
ajst-16324	167	30	and	and	CCONJ
ajst-16324	167	31	the	the	DET
ajst-16324	167	32	problem	problem	NOUN
ajst-16324	167	33	of	of	ADP
ajst-16324	167	34	repeated	repeat	VERB
ajst-16324	167	35	coverage	coverage	NOUN
ajst-16324	167	36	.	.	PUNCT
ajst-16324	168	1	since	since	SCONJ
ajst-16324	168	2	the	the	DET
ajst-16324	168	3	sensor	sensor	NOUN
ajst-16324	168	4	model	model	NOUN
ajst-16324	168	5	used	use	VERB
ajst-16324	168	6	in	in	ADP
ajst-16324	168	7	this	this	DET
ajst-16324	168	8	paper	paper	NOUN
ajst-16324	168	9	is	be	AUX
ajst-16324	168	10	a	a	DET
ajst-16324	168	11	sphere	sphere	ADJ
ajst-16324	168	12	binary	binary	ADJ
ajst-16324	168	13	perception	perception	NOUN
ajst-16324	168	14	model	model	NOUN
ajst-16324	168	15	,	,	PUNCT
ajst-16324	168	16	the	the	DET
ajst-16324	168	17	theoretical	theoretical	ADJ
ajst-16324	168	18	coverage	coverage	NOUN
ajst-16324	168	19	of	of	ADP
ajst-16324	168	20	the	the	DET
ajst-16324	168	21	sensor	sensor	NOUN
ajst-16324	168	22	network	network	NOUN
ajst-16324	168	23	is	be	AUX
ajst-16324	168	24	3	3	NUM
ajst-16324	168	25	34	34	NUM
ajst-16324	168	26	n	n	PROPN
ajst-16324	168	27	/	/	SYM
ajst-16324	168	28	3	3	NUM
ajst-16324	168	29	r	r	NOUN
ajst-16324	168	30	l	l	NOUN
ajst-16324	168	31			PROPN
ajst-16324	168	32			PROPN
ajst-16324	168	33	.	.	PUNCT
ajst-16324	169	1	figure	figure	VERB
ajst-16324	169	2	6	6	NUM
ajst-16324	169	3	.	.	PUNCT
ajst-16324	170	1	sensor	sensor	NOUN
ajst-16324	170	2	node	node	ADJ
ajst-16324	170	3	coverage	coverage	NOUN
ajst-16324	170	4	rates	rate	NOUN
ajst-16324	170	5	under	under	ADP
ajst-16324	170	6	different	different	ADJ
ajst-16324	170	7	algorithms	algorithm	NOUN
ajst-16324	170	8	.	.	PUNCT
ajst-16324	171	1	figure	figure	VERB
ajst-16324	171	2	7	7	NUM
ajst-16324	171	3	.	.	PUNCT
ajst-16324	172	1	sensor	sensor	NOUN
ajst-16324	172	2	node	node	ADJ
ajst-16324	172	3	utilization	utilization	NOUN
ajst-16324	172	4	under	under	ADP
ajst-16324	172	5	different	different	ADJ
ajst-16324	172	6	algorithms	algorithm	NOUN
ajst-16324	172	7	.	.	PUNCT
ajst-16324	173	1	figure	figure	VERB
ajst-16324	173	2	6	6	NUM
ajst-16324	173	3	.	.	PUNCT
ajst-16324	174	1	and	and	CCONJ
ajst-16324	174	2	figure	figure	VERB
ajst-16324	174	3	7	7	NUM
ajst-16324	174	4	.	.	PUNCT
ajst-16324	175	1	show	show	VERB
ajst-16324	175	2	that	that	SCONJ
ajst-16324	175	3	the	the	DET
ajst-16324	175	4	coverage	coverage	NOUN
ajst-16324	175	5	and	and	CCONJ
ajst-16324	175	6	node	node	ADJ
ajst-16324	175	7	utilization	utilization	NOUN
ajst-16324	175	8	of	of	ADP
ajst-16324	175	9	issa	issa	PROPN
ajst-16324	175	10	are	be	AUX
ajst-16324	175	11	better	well	ADJ
ajst-16324	175	12	than	than	ADP
ajst-16324	175	13	other	other	ADJ
ajst-16324	175	14	algorithms	algorithm	NOUN
ajst-16324	175	15	.	.	PUNCT
ajst-16324	176	1	when	when	SCONJ
ajst-16324	176	2	the	the	DET
ajst-16324	176	3	number	number	NOUN
ajst-16324	176	4	of	of	ADP
ajst-16324	176	5	sensors	sensor	NOUN
ajst-16324	176	6	is	be	AUX
ajst-16324	176	7	less	less	ADJ
ajst-16324	176	8	than	than	ADP
ajst-16324	176	9	40	40	NUM
ajst-16324	176	10	,	,	PUNCT
ajst-16324	176	11	the	the	DET
ajst-16324	176	12	proposed	propose	VERB
ajst-16324	176	13	algorithm	algorithm	NOUN
ajst-16324	176	14	can	can	AUX
ajst-16324	176	15	approach	approach	VERB
ajst-16324	176	16	the	the	DET
ajst-16324	176	17	theoretical	theoretical	ADJ
ajst-16324	176	18	coverage	coverage	NOUN
ajst-16324	176	19	,	,	PUNCT
ajst-16324	176	20	and	and	CCONJ
ajst-16324	176	21	the	the	DET
ajst-16324	176	22	node	node	ADJ
ajst-16324	176	23	utilization	utilization	NOUN
ajst-16324	176	24	rate	rate	NOUN
ajst-16324	176	25	reaches	reach	VERB
ajst-16324	176	26	97.6	97.6	NUM
ajst-16324	176	27	%	%	NOUN
ajst-16324	176	28	after	after	ADP
ajst-16324	176	29	algorithm	algorithm	NOUN
ajst-16324	176	30	optimization	optimization	NOUN
ajst-16324	176	31	,	,	PUNCT
ajst-16324	176	32	which	which	PRON
ajst-16324	176	33	can	can	AUX
ajst-16324	176	34	effectively	effectively	ADV
ajst-16324	176	35	reduce	reduce	VERB
ajst-16324	176	36	the	the	DET
ajst-16324	176	37	energy	energy	NOUN
ajst-16324	176	38	loss	loss	NOUN
ajst-16324	176	39	of	of	ADP
ajst-16324	176	40	uwsns	uwsns	NOUN
ajst-16324	176	41	.	.	PUNCT
ajst-16324	177	1	however	however	ADV
ajst-16324	177	2	,	,	PUNCT
ajst-16324	177	3	as	as	ADP
ajst-16324	177	4	the	the	DET
ajst-16324	177	5	number	number	NOUN
ajst-16324	177	6	of	of	ADP
ajst-16324	177	7	sensors	sensor	NOUN
ajst-16324	177	8	increases	increase	NOUN
ajst-16324	177	9	,	,	PUNCT
ajst-16324	177	10	the	the	DET
ajst-16324	177	11	gap	gap	NOUN
ajst-16324	177	12	between	between	ADP
ajst-16324	177	13	the	the	DET
ajst-16324	177	14	actual	actual	ADJ
ajst-16324	177	15	network	network	NOUN
ajst-16324	177	16	coverage	coverage	NOUN
ajst-16324	177	17	and	and	CCONJ
ajst-16324	177	18	the	the	DET
ajst-16324	177	19	theoretical	theoretical	ADJ
ajst-16324	177	20	network	network	NOUN
ajst-16324	177	21	coverage	coverage	NOUN
ajst-16324	177	22	gradually	gradually	ADV
ajst-16324	177	23	expands	expand	VERB
ajst-16324	177	24	,	,	PUNCT
ajst-16324	177	25	and	and	CCONJ
ajst-16324	177	26	the	the	DET
ajst-16324	177	27	node	node	ADJ
ajst-16324	177	28	utilization	utilization	NOUN
ajst-16324	177	29	rate	rate	NOUN
ajst-16324	177	30	decreases	decrease	VERB
ajst-16324	177	31	.	.	PUNCT
ajst-16324	178	1	this	this	PRON
ajst-16324	178	2	is	be	AUX
ajst-16324	178	3	due	due	ADJ
ajst-16324	178	4	to	to	ADP
ajst-16324	178	5	the	the	DET
ajst-16324	178	6	increase	increase	NOUN
ajst-16324	178	7	in	in	ADP
ajst-16324	178	8	the	the	DET
ajst-16324	178	9	number	number	NOUN
ajst-16324	178	10	of	of	ADP
ajst-16324	178	11	sensor	sensor	NOUN
ajst-16324	178	12	nodes	node	NOUN
ajst-16324	178	13	,	,	PUNCT
ajst-16324	178	14	the	the	DET
ajst-16324	178	15	effect	effect	NOUN
ajst-16324	178	16	of	of	ADP
ajst-16324	178	17	the	the	DET
ajst-16324	178	18	optimization	optimization	NOUN
ajst-16324	178	19	algorithm	algorithm	NOUN
ajst-16324	178	20	is	be	AUX
ajst-16324	178	21	weakened	weaken	VERB
ajst-16324	178	22	.	.	PUNCT
ajst-16324	179	1	when	when	SCONJ
ajst-16324	179	2	reaching	reach	VERB
ajst-16324	179	3	a	a	DET
ajst-16324	179	4	certain	certain	ADJ
ajst-16324	179	5	number	number	NOUN
ajst-16324	179	6	,	,	PUNCT
ajst-16324	179	7	further	far	ADV
ajst-16324	179	8	increasing	increase	VERB
ajst-16324	179	9	the	the	DET
ajst-16324	179	10	number	number	NOUN
ajst-16324	179	11	of	of	ADP
ajst-16324	179	12	sensor	sensor	NOUN
ajst-16324	179	13	nodes	node	NOUN
ajst-16324	179	14	will	will	AUX
ajst-16324	179	15	no	no	ADV
ajst-16324	179	16	longer	long	ADV
ajst-16324	179	17	significantly	significantly	ADV
ajst-16324	179	18	increase	increase	VERB
ajst-16324	179	19	the	the	DET
ajst-16324	179	20	network	network	NOUN
ajst-16324	179	21	coverage	coverage	NOUN
ajst-16324	179	22	,	,	PUNCT
ajst-16324	179	23	but	but	CCONJ
ajst-16324	179	24	will	will	AUX
ajst-16324	179	25	increase	increase	VERB
ajst-16324	179	26	redundancy	redundancy	NOUN
ajst-16324	179	27	and	and	CCONJ
ajst-16324	179	28	overlap	overlap	NOUN
ajst-16324	179	29	,	,	PUNCT
ajst-16324	179	30	resulting	result	VERB
ajst-16324	179	31	in	in	ADP
ajst-16324	179	32	reduced	reduce	VERB
ajst-16324	179	33	node	node	ADJ
ajst-16324	179	34	utilization	utilization	NOUN
ajst-16324	179	35	.	.	PUNCT
ajst-16324	180	1	5	5	X
ajst-16324	180	2	.	.	X
ajst-16324	180	3	conclusion	conclusion	NOUN
ajst-16324	180	4	aiming	aim	VERB
ajst-16324	180	5	at	at	ADP
ajst-16324	180	6	the	the	DET
ajst-16324	180	7	problems	problem	NOUN
ajst-16324	180	8	of	of	ADP
ajst-16324	180	9	uneven	uneven	ADJ
ajst-16324	180	10	distribution	distribution	NOUN
ajst-16324	180	11	of	of	ADP
ajst-16324	180	12	nodes	node	NOUN
ajst-16324	180	13	,	,	PUNCT
ajst-16324	180	14	low	low	ADJ
ajst-16324	180	15	coverage	coverage	NOUN
ajst-16324	180	16	rate	rate	NOUN
ajst-16324	180	17	and	and	CCONJ
ajst-16324	180	18	low	low	ADJ
ajst-16324	180	19	connectivity	connectivity	NOUN
ajst-16324	180	20	rate	rate	NOUN
ajst-16324	180	21	due	due	ADP
ajst-16324	180	22	to	to	ADP
ajst-16324	180	23	random	random	ADJ
ajst-16324	180	24	deployment	deployment	NOUN
ajst-16324	180	25	of	of	ADP
ajst-16324	180	26	underwater	underwater	ADJ
ajst-16324	180	27	nodes	node	NOUN
ajst-16324	180	28	,	,	PUNCT
ajst-16324	180	29	an	an	DET
ajst-16324	180	30	improved	improved	ADJ
ajst-16324	180	31	sparrow	sparrow	NOUN
ajst-16324	180	32	search	search	NOUN
ajst-16324	180	33	algorithm	algorithm	NOUN
ajst-16324	180	34	for	for	ADP
ajst-16324	180	35	underwater	underwater	ADJ
ajst-16324	180	36	wireless	wireless	ADJ
ajst-16324	180	37	sensor	sensor	NOUN
ajst-16324	180	38	network	network	NOUN
ajst-16324	180	39	node	node	ADJ
ajst-16324	180	40	coverage	coverage	NOUN
ajst-16324	180	41	optimization	optimization	NOUN
ajst-16324	180	42	strategy	strategy	NOUN
ajst-16324	180	43	is	be	AUX
ajst-16324	180	44	proposed	propose	VERB
ajst-16324	180	45	.	.	PUNCT
ajst-16324	181	1	by	by	ADP
ajst-16324	181	2	introducing	introduce	VERB
ajst-16324	181	3	nonlinear	nonlinear	ADJ
ajst-16324	181	4	inertia	inertia	NOUN
ajst-16324	181	5	weight	weight	NOUN
ajst-16324	181	6	and	and	CCONJ
ajst-16324	181	7	levy	levy	NOUN
ajst-16324	181	8	flight	flight	NOUN
ajst-16324	181	9	strategy	strategy	NOUN
ajst-16324	181	10	,	,	PUNCT
ajst-16324	181	11	the	the	DET
ajst-16324	181	12	global	global	ADJ
ajst-16324	181	13	and	and	CCONJ
ajst-16324	181	14	local	local	ADJ
ajst-16324	181	15	optimization	optimization	NOUN
ajst-16324	181	16	of	of	ADP
ajst-16324	181	17	nodes	node	NOUN
ajst-16324	181	18	are	be	AUX
ajst-16324	181	19	effectively	effectively	ADV
ajst-16324	181	20	balanced	balanced	ADJ
ajst-16324	181	21	,	,	PUNCT
ajst-16324	181	22	and	and	CCONJ
ajst-16324	181	23	the	the	DET
ajst-16324	181	24	algorithm	algorithm	NOUN
ajst-16324	181	25	is	be	AUX
ajst-16324	181	26	effectively	effectively	ADV
ajst-16324	181	27	avoided	avoid	VERB
ajst-16324	181	28	from	from	ADP
ajst-16324	181	29	falling	fall	VERB
ajst-16324	181	30	into	into	ADP
ajst-16324	181	31	local	local	ADJ
ajst-16324	181	32	optimal	optimal	ADJ
ajst-16324	181	33	solution	solution	NOUN
ajst-16324	181	34	.	.	PUNCT
ajst-16324	182	1	simulation	simulation	NOUN
ajst-16324	182	2	experiments	experiment	NOUN
ajst-16324	182	3	show	show	VERB
ajst-16324	182	4	that	that	SCONJ
ajst-16324	182	5	compared	compare	VERB
ajst-16324	182	6	with	with	ADP
ajst-16324	182	7	the	the	DET
ajst-16324	182	8	standard	standard	ADJ
ajst-16324	182	9	sparrow	sparrow	ADJ
ajst-16324	182	10	algorithm	algorithm	NOUN
ajst-16324	182	11	and	and	CCONJ
ajst-16324	182	12	salp	salp	PROPN
ajst-16324	182	13	algorithm	algorithm	NOUN
ajst-16324	182	14	,	,	PUNCT
ajst-16324	182	15	issa	issa	PROPN
ajst-16324	182	16	has	have	VERB
ajst-16324	182	17	better	well	ADJ
ajst-16324	182	18	network	network	NOUN
ajst-16324	182	19	deployment	deployment	NOUN
ajst-16324	182	20	effect	effect	NOUN
ajst-16324	182	21	,	,	PUNCT
ajst-16324	182	22	and	and	CCONJ
ajst-16324	182	23	maintains	maintain	VERB
ajst-16324	182	24	higher	high	ADJ
ajst-16324	182	25	node	node	ADJ
ajst-16324	182	26	utilization	utilization	NOUN
ajst-16324	182	27	while	while	SCONJ
ajst-16324	182	28	improving	improve	VERB
ajst-16324	182	29	coverage	coverage	NOUN
ajst-16324	182	30	,	,	PUNCT
ajst-16324	182	31	which	which	PRON
ajst-16324	182	32	can	can	AUX
ajst-16324	182	33	effectively	effectively	ADV
ajst-16324	182	34	reduce	reduce	VERB
ajst-16324	182	35	network	network	NOUN
ajst-16324	182	36	energy	energy	NOUN
ajst-16324	182	37	consumption	consumption	NOUN
ajst-16324	182	38	.	.	PUNCT
ajst-16324	183	1	compared	compare	VERB
ajst-16324	183	2	with	with	ADP
ajst-16324	183	3	other	other	ADJ
ajst-16324	183	4	algorithms	algorithm	NOUN
ajst-16324	183	5	,	,	PUNCT
ajst-16324	183	6	issa	issa	PROPN
ajst-16324	183	7	can	can	AUX
ajst-16324	183	8	increase	increase	VERB
ajst-16324	183	9	the	the	DET
ajst-16324	183	10	coverage	coverage	NOUN
ajst-16324	183	11	rate	rate	NOUN
ajst-16324	183	12	by	by	ADP
ajst-16324	183	13	up	up	ADP
ajst-16324	183	14	to	to	PART
ajst-16324	183	15	8.4	8.4	NUM
ajst-16324	183	16	%	%	NOUN
ajst-16324	183	17	,	,	PUNCT
ajst-16324	183	18	and	and	CCONJ
ajst-16324	183	19	the	the	DET
ajst-16324	183	20	network	network	NOUN
ajst-16324	183	21	utilization	utilization	NOUN
ajst-16324	183	22	rate	rate	NOUN
ajst-16324	183	23	is	be	AUX
ajst-16324	183	24	increased	increase	VERB
ajst-16324	183	25	by	by	ADP
ajst-16324	183	26	11.8	11.8	NUM
ajst-16324	183	27	%	%	NOUN
ajst-16324	183	28	,	,	PUNCT
ajst-16324	183	29	which	which	PRON
ajst-16324	183	30	meets	meet	VERB
ajst-16324	183	31	the	the	DET
ajst-16324	183	32	deployment	deployment	NOUN
ajst-16324	183	33	requirements	requirement	NOUN
ajst-16324	183	34	of	of	ADP
ajst-16324	183	35	uwsns	uwsns	NOUN
ajst-16324	183	36	.	.	PUNCT
ajst-16324	184	1	references	reference	NOUN
ajst-16324	184	2	[	[	X
ajst-16324	184	3	1	1	NUM
ajst-16324	184	4	]	]	X
ajst-16324	184	5	k.y.chen	k.y.chen	PROPN
ajst-16324	184	6	,	,	PUNCT
ajst-16324	184	7	m.d	m.d	PROPN
ajst-16324	184	8	.	.	PROPN
ajst-16324	184	9	ma	ma	PROPN
ajst-16324	184	10	,	,	PUNCT
ajst-16324	184	11	e.	e.	PROPN
ajst-16324	184	12	cheng	cheng	PROPN
ajst-16324	184	13	,	,	PUNCT
ajst-16324	184	14	et	et	PROPN
ajst-16324	184	15	al	al	PROPN
ajst-16324	184	16	.	.	PUNCT
ajst-16324	185	1	a	a	DET
ajst-16324	185	2	survey	survey	NOUN
ajst-16324	185	3	on	on	ADP
ajst-16324	185	4	mac	mac	PROPN
ajst-16324	185	5	protocols	protocol	NOUN
ajst-16324	185	6	for	for	ADP
ajst-16324	185	7	underwater	underwater	ADJ
ajst-16324	185	8	wireless	wireless	ADJ
ajst-16324	185	9	sensor	sensor	NOUN
ajst-16324	185	10	networks[j	networks[j	PROPN
ajst-16324	185	11	]	]	X
ajst-16324	185	12	.	.	PUNCT
ajst-16324	186	1	ieee	ieee	PROPN
ajst-16324	186	2	communications	communications	PROPN
ajst-16324	186	3	surveys&tutorials,2014,16(3	surveys&tutorials,2014,16(3	PROPN
ajst-16324	186	4	):	):	PUNCT
ajst-16324	186	5	1433	1433	NUM
ajst-16324	186	6	-	-	SYM
ajst-16324	186	7	1447	1447	NUM
ajst-16324	186	8	.	.	PUNCT
ajst-16324	187	1	[	[	X
ajst-16324	187	2	2	2	NUM
ajst-16324	187	3	]	]	X
ajst-16324	187	4	z.w	z.w	PROPN
ajst-16324	187	5	.	.	PUNCT
ajst-16324	187	6	guo	guo	PROPN
ajst-16324	187	7	,	,	PUNCT
ajst-16324	187	8	h.j	h.j	PROPN
ajst-16324	187	9	.	.	PROPN
ajst-16324	187	10	luo	luo	PROPN
ajst-16324	187	11	,	,	PUNCT
ajst-16324	187	12	f.	f.	PROPN
ajst-16324	187	13	hong	hong	PROPN
ajst-16324	187	14	,	,	PUNCT
ajst-16324	187	15	et	et	PROPN
ajst-16324	187	16	al	al	PROPN
ajst-16324	187	17	.	.	PUNCT
ajst-16324	187	18	current	current	ADJ
ajst-16324	187	19	progress	progress	NOUN
ajst-16324	187	20	and	and	CCONJ
ajst-16324	187	21	research	research	NOUN
ajst-16324	187	22	issues	issue	NOUN
ajst-16324	187	23	in	in	ADP
ajst-16324	187	24	underwater	underwater	ADJ
ajst-16324	187	25	sensor	sensor	NOUN
ajst-16324	187	26	network	network	NOUN
ajst-16324	187	27	[	[	X
ajst-16324	187	28	j	j	X
ajst-16324	187	29	]	]	X
ajst-16324	187	30	.	.	PUNCT
ajst-16324	188	1	computer	computer	NOUN
ajst-16324	188	2	research	research	NOUN
ajst-16324	188	3	and	and	CCONJ
ajst-16324	188	4	development	development	NOUN
ajst-16324	188	5	,	,	PUNCT
ajst-16324	188	6	2010,47	2010,47	NUM
ajst-16324	188	7	(	(	PUNCT
ajst-16324	188	8	3):377	3):377	NUM
ajst-16324	188	9	-	-	SYM
ajst-16324	188	10	389	389	NUM
ajst-16324	188	11	.	.	PUNCT
ajst-16324	189	1	[	[	X
ajst-16324	189	2	3	3	X
ajst-16324	189	3	]	]	PUNCT
ajst-16324	189	4	mahalle	mahalle	NOUN
ajst-16324	189	5	p	p	NOUN
ajst-16324	189	6	n	n	NOUN
ajst-16324	189	7	,	,	PUNCT
ajst-16324	189	8	shelar	shelar	ADJ
ajst-16324	189	9	p	p	NOUN
ajst-16324	189	10	a	a	PRON
ajst-16324	189	11	,	,	PUNCT
ajst-16324	189	12	shinde	shinde	NOUN
ajst-16324	189	13	g	g	PROPN
ajst-16324	189	14	r	r	PROPN
ajst-16324	189	15	,	,	PUNCT
ajst-16324	189	16	et	et	PROPN
ajst-16324	189	17	al	al	PROPN
ajst-16324	189	18	.	.	PUNCT
ajst-16324	190	1	applications	application	NOUN
ajst-16324	190	2	of	of	ADP
ajst-16324	190	3	uwsn[m	uwsn[m	NOUN
ajst-16324	190	4	]	]	PUNCT
ajst-16324	190	5	.	.	PUNCT
ajst-16324	191	1	the	the	DET
ajst-16324	191	2	underwater	underwater	ADJ
ajst-16324	191	3	world	world	NOUN
ajst-16324	191	4	for	for	ADP
ajst-16324	191	5	digital	digital	ADJ
ajst-16324	191	6	data	datum	NOUN
ajst-16324	191	7	transmission	transmission	NOUN
ajst-16324	191	8	.	.	PUNCT
ajst-16324	192	1	springer	springer	NOUN
ajst-16324	192	2	,	,	PUNCT
ajst-16324	192	3	singapore,2021:55	singapore,2021:55	PROPN
ajst-16324	192	4	-	-	PUNCT
ajst-16324	192	5	64	64	NUM
ajst-16324	192	6	.	.	PUNCT
ajst-16324	193	1	[	[	X
ajst-16324	193	2	4	4	NUM
ajst-16324	193	3	]	]	X
ajst-16324	193	4	choudhary	choudhary	PROPN
ajst-16324	193	5	m	m	PROPN
ajst-16324	193	6	,	,	PUNCT
ajst-16324	193	7	goyal	goyal	PROPN
ajst-16324	193	8	n.	n.	PROPN
ajst-16324	193	9	node	node	PROPN
ajst-16324	193	10	deployment	deployment	NOUN
ajst-16324	193	11	strategies	strategy	NOUN
ajst-16324	193	12	in	in	ADP
ajst-16324	193	13	underwater	underwater	ADJ
ajst-16324	193	14	wireless	wireless	ADJ
ajst-16324	193	15	sensor	sensor	NOUN
ajst-16324	193	16	network	network	NOUN
ajst-16324	193	17	[	[	X
ajst-16324	193	18	c	c	X
ajst-16324	193	19	]	]	X
ajst-16324	193	20	international	international	ADJ
ajst-16324	193	21	0	0	NUM
ajst-16324	193	22	0.1	0.1	NUM
ajst-16324	193	23	0.2	0.2	NUM
ajst-16324	193	24	0.3	0.3	NUM
ajst-16324	193	25	0.4	0.4	NUM
ajst-16324	193	26	0.5	0.5	NUM
ajst-16324	193	27	0.6	0.6	NUM
ajst-16324	193	28	0.7	0.7	NUM
ajst-16324	193	29	0.8	0.8	NUM
ajst-16324	193	30	10	10	NUM
ajst-16324	193	31	20	20	NUM
ajst-16324	193	32	30	30	NUM
ajst-16324	193	33	40	40	NUM
ajst-16324	193	34	50	50	NUM
ajst-16324	193	35	c	c	NOUN
ajst-16324	193	36	ov	ov	INTJ
ajst-16324	193	37	er	er	INTJ
ajst-16324	193	38	ag	ag	PROPN
ajst-16324	193	39	e	e	PROPN
ajst-16324	193	40	ra	ra	PROPN
ajst-16324	193	41	te	te	INTJ
ajst-16324	193	42	number	number	NOUN
ajst-16324	193	43	of	of	ADP
ajst-16324	193	44	sensors	sensor	NOUN
ajst-16324	193	45	theoretical	theoretical	ADJ
ajst-16324	193	46	coverage	coverage	NOUN
ajst-16324	193	47	rate	rate	NOUN
ajst-16324	193	48	sparrow	sparrow	PROPN
ajst-16324	193	49	search	search	NOUN
ajst-16324	193	50	coverage	coverage	NOUN
ajst-16324	193	51	rate	rate	NOUN
ajst-16324	193	52	sea	sea	PROPN
ajst-16324	193	53	cucumber	cucumber	NOUN
ajst-16324	193	54	coverage	coverage	NOUN
ajst-16324	193	55	rate	rate	NOUN
ajst-16324	193	56	improved	improve	VERB
ajst-16324	193	57	sparrow	sparrow	NOUN
ajst-16324	193	58	search	search	NOUN
ajst-16324	193	59	algorithm	algorithm	NOUN
ajst-16324	193	60	coverage	coverage	NOUN
ajst-16324	193	61	rate	rate	NOUN
ajst-16324	193	62	0.6	0.6	NUM
ajst-16324	193	63	0.7	0.7	NUM
ajst-16324	193	64	0.8	0.8	NUM
ajst-16324	193	65	0.9	0.9	NUM
ajst-16324	193	66	1	1	NUM
ajst-16324	193	67	1.1	1.1	NUM
ajst-16324	193	68	10	10	NUM
ajst-16324	193	69	20	20	NUM
ajst-16324	193	70	30	30	NUM
ajst-16324	193	71	40	40	NUM
ajst-16324	193	72	50	50	NUM
ajst-16324	193	73	se	se	ADV
ajst-16324	193	74	ns	ns	NUM
ajst-16324	193	75	or	or	CCONJ
ajst-16324	193	76	n	n	PRON
ajst-16324	193	77	od	od	PROPN
ajst-16324	193	78	e	e	PROPN
ajst-16324	193	79	ut	ut	PROPN
ajst-16324	193	80	ili	ili	PROPN
ajst-16324	193	81	za	za	PROPN
ajst-16324	193	82	tio	tio	PROPN
ajst-16324	194	1	n	n	DET
ajst-16324	194	2	number	number	NOUN
ajst-16324	194	3	of	of	ADP
ajst-16324	194	4	sensors	sensor	NOUN
ajst-16324	194	5	sparrow	sparrow	VERB
ajst-16324	194	6	search	search	NOUN
ajst-16324	194	7	coverage	coverage	NOUN
ajst-16324	194	8	rate	rate	NOUN
ajst-16324	194	9	sea	sea	PROPN
ajst-16324	194	10	cucumber	cucumber	NOUN
ajst-16324	194	11	coverage	coverage	NOUN
ajst-16324	194	12	rate	rate	NOUN
ajst-16324	194	13	improved	improve	VERB
ajst-16324	194	14	sparrow	sparrow	NOUN
ajst-16324	194	15	search	search	NOUN
ajst-16324	194	16	algorithm	algorithm	NOUN
ajst-16324	194	17	coverage	coverage	NOUN
ajst-16324	194	18	rate	rate	NOUN
ajst-16324	194	19	109	109	NUM
ajst-16324	194	20	conference	conference	NOUN
ajst-16324	194	21	on	on	ADP
ajst-16324	194	22	advance	advance	NOUN
ajst-16324	194	23	computing	computing	NOUN
ajst-16324	194	24	and	and	CCONJ
ajst-16324	194	25	innovative	innovative	ADJ
ajst-16324	194	26	technologies	technology	NOUN
ajst-16324	194	27	in	in	ADP
ajst-16324	194	28	engineering,2021:773	engineering,2021:773	PROPN
ajst-16324	194	29	-	-	SYM
ajst-16324	194	30	779	779	NUM
ajst-16324	194	31	.	.	PUNCT
ajst-16324	195	1	[	[	X
ajst-16324	195	2	5	5	X
ajst-16324	195	3	]	]	X
ajst-16324	195	4	j.h	j.h	PROPN
ajst-16324	195	5	.	.	PROPN
ajst-16324	195	6	luo	luo	PROPN
ajst-16324	195	7	,	,	PUNCT
ajst-16324	195	8	fan	fan	PROPN
ajst-16324	195	9	liying	liying	NOUN
ajst-16324	195	10	,	,	PUNCT
ajst-16324	195	11	s.	s.	PROPN
ajst-16324	195	12	wu	wu	PROPN
ajst-16324	195	13	,	,	PUNCT
ajst-16324	195	14	et	et	PROPN
ajst-16324	195	15	al	al	PROPN
ajst-16324	195	16	.	.	PROPN
ajst-16324	195	17	research	research	NOUN
ajst-16324	195	18	on	on	ADP
ajst-16324	195	19	localization	localization	NOUN
ajst-16324	195	20	algorithms	algorithm	NOUN
ajst-16324	195	21	based	base	VERB
ajst-16324	195	22	on	on	ADP
ajst-16324	195	23	acoustic	acoustic	ADJ
ajst-16324	195	24	communication	communication	NOUN
ajst-16324	195	25	for	for	ADP
ajst-16324	195	26	underwater	underwater	ADJ
ajst-16324	195	27	sensor	sensor	NOUN
ajst-16324	195	28	networks[j	networks[j	PROPN
ajst-16324	195	29	]	]	PUNCT
ajst-16324	195	30	.	.	PUNCT
ajst-16324	196	1	sensors,2017,18(1):67	sensors,2017,18(1):67	ADJ
ajst-16324	196	2	.	.	PUNCT
ajst-16324	197	1	[	[	X
ajst-16324	197	2	6	6	NUM
ajst-16324	197	3	]	]	PUNCT
ajst-16324	197	4	yashwanth	yashwanth	NOUN
ajst-16324	197	5	n	n	CCONJ
ajst-16324	197	6	,	,	PUNCT
ajst-16324	197	7	sujatha	sujatha	PROPN
ajst-16324	197	8	b	b	PROPN
ajst-16324	197	9	r.	r.	PROPN
ajst-16324	197	10	node	node	PROPN
ajst-16324	197	11	localization	localization	NOUN
ajst-16324	197	12	performance	performance	NOUN
ajst-16324	197	13	for	for	ADP
ajst-16324	197	14	uwsn	uwsn	ADJ
ajst-16324	197	15	topologies[j	topologies[j	NOUN
ajst-16324	197	16	]	]	PUNCT
ajst-16324	197	17	.	.	PUNCT
ajst-16324	198	1	journal	journal	PROPN
ajst-16324	198	2	of	of	ADP
ajst-16324	198	3	communications	communication	NOUN
ajst-16324	198	4	vol	vol	NOUN
ajst-16324	198	5	.	.	PUNCT
ajst-16324	199	1	14	14	NUM
ajst-16324	199	2	,	,	PUNCT
ajst-16324	199	3	no	no	INTJ
ajst-16324	199	4	.	.	NOUN
ajst-16324	199	5	9	9	NUM
ajst-16324	199	6	,	,	PUNCT
ajst-16324	199	7	september,2019,14(9):839	september,2019,14(9):839	NOUN
ajst-16324	199	8	-	-	PUNCT
ajst-16324	199	9	844	844	NUM
ajst-16324	199	10	.	.	PUNCT
ajst-16324	200	1	[	[	X
ajst-16324	200	2	7	7	X
ajst-16324	200	3	]	]	X
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ajst-16324	200	5	arivudainambi	arivudainambi	PROPN
ajst-16324	200	6	,	,	PUNCT
ajst-16324	200	7	s.	s.	PROPN
ajst-16324	200	8	balaji	balaji	PROPN
ajst-16324	200	9	,	,	PUNCT
ajst-16324	200	10	t.	t.	PROPN
ajst-16324	200	11	s.	s.	PROPN
ajst-16324	200	12	poorani	poorani	PROPN
ajst-16324	200	13	.	.	PUNCT
ajst-16324	201	1	sensor	sensor	NOUN
ajst-16324	201	2	deployment	deployment	NOUN
ajst-16324	201	3	for	for	ADP
ajst-16324	201	4	target	target	NOUN
ajst-16324	201	5	coverage	coverage	NOUN
ajst-16324	201	6	in	in	ADP
ajst-16324	201	7	underwater	underwater	ADJ
ajst-16324	201	8	wireless	wireless	ADJ
ajst-16324	201	9	sensor	sensor	NOUN
ajst-16324	201	10	network	network	NOUN
ajst-16324	201	11	[	[	X
ajst-16324	201	12	c	c	X
ajst-16324	201	13	]	]	X
ajst-16324	201	14	international	international	ADJ
ajst-16324	201	15	conference	conference	NOUN
ajst-16324	201	16	on	on	ADP
ajst-16324	201	17	performance	performance	NOUN
ajst-16324	201	18	evaluation	evaluation	NOUN
ajst-16324	201	19	and	and	CCONJ
ajst-16324	201	20	modeling	modeling	NOUN
ajst-16324	201	21	in	in	ADP
ajst-16324	201	22	wired	wire	VERB
ajst-16324	201	23	and	and	CCONJ
ajst-16324	201	24	wireless	wireless	ADJ
ajst-16324	201	25	networks,2017:1	networks,2017:1	NOUN
ajst-16324	201	26	-	-	PUNCT
ajst-16324	201	27	6	6	NUM
ajst-16324	201	28	.	.	PUNCT
ajst-16324	202	1	[	[	X
ajst-16324	202	2	8	8	NUM
ajst-16324	202	3	]	]	X
ajst-16324	202	4	alam	alam	PROPN
ajst-16324	202	5	s	s	PROPN
ajst-16324	202	6	m	m	PROPN
ajst-16324	202	7	n	n	NOUN
ajst-16324	202	8	,	,	PUNCT
ajst-16324	202	9	haas	haas	PROPN
ajst-16324	202	10	z	z	PROPN
ajst-16324	202	11	j.	j.	PROPN
ajst-16324	202	12	coverage	coverage	PROPN
ajst-16324	202	13	and	and	CCONJ
ajst-16324	202	14	connectivity	connectivity	NOUN
ajst-16324	202	15	in	in	ADP
ajst-16324	202	16	threedimensional	threedimensional	ADJ
ajst-16324	202	17	networks	network	NOUN
ajst-16324	202	18	with	with	ADP
ajst-16324	202	19	random	random	ADJ
ajst-16324	202	20	node	node	ADJ
ajst-16324	202	21	deployment[j	deployment[j	NOUN
ajst-16324	202	22	]	]	PUNCT
ajst-16324	202	23	.	.	PUNCT
ajst-16324	203	1	ad	ad	NOUN
ajst-16324	203	2	hoc	hoc	X
ajst-16324	203	3	networks,2015,34:157	networks,2015,34:157	NOUN
ajst-16324	203	4	-	-	PUNCT
ajst-16324	203	5	169	169	NUM
ajst-16324	203	6	.	.	PUNCT
ajst-16324	204	1	[	[	X
ajst-16324	204	2	9	9	NUM
ajst-16324	204	3	]	]	X
ajst-16324	204	4	x.h	x.h	PROPN
ajst-16324	204	5	.	.	PROPN
ajst-16324	204	6	deng	deng	PROPN
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ajst-16324	204	9	.	.	PROPN
ajst-16324	204	10	yu	yu	PROPN
ajst-16324	204	11	,	,	PUNCT
ajst-16324	204	12	r.x	r.x	PROPN
ajst-16324	204	13	.	.	PROPN
ajst-16324	204	14	tang	tang	PROPN
ajst-16324	204	15	,	,	PUNCT
ajst-16324	204	16	et	et	PROPN
ajst-16324	204	17	al	al	PROPN
ajst-16324	204	18	.	.	PUNCT
ajst-16324	205	1	an	an	DET
ajst-16324	205	2	optimized	optimize	VERB
ajst-16324	205	3	node	node	NOUN
ajst-16324	205	4	deployment	deployment	NOUN
ajst-16324	205	5	solution	solution	NOUN
ajst-16324	205	6	based	base	VERB
ajst-16324	205	7	on	on	ADP
ajst-16324	205	8	a	a	DET
ajst-16324	205	9	virtual	virtual	ADJ
ajst-16324	205	10	spring	spring	NOUN
ajst-16324	205	11	force	force	NOUN
ajst-16324	205	12	algorithm	algorithm	NOUN
ajst-16324	205	13	for	for	ADP
ajst-16324	205	14	wireless	wireless	ADJ
ajst-16324	205	15	sensor	sensor	NOUN
ajst-16324	205	16	network	network	NOUN
ajst-16324	205	17	applications[j	applications[j	PROPN
ajst-16324	205	18	]	]	PUNCT
ajst-16324	205	19	.	.	PUNCT
ajst-16324	206	1	sensors	sensor	NOUN
ajst-16324	206	2	,	,	PUNCT
ajst-16324	206	3	2019,19(8):1817	2019,19(8):1817	NUM
ajst-16324	206	4	.	.	PUNCT
ajst-16324	207	1	[	[	X
ajst-16324	207	2	10	10	NUM
ajst-16324	207	3	]	]	X
ajst-16324	207	4	hashim	hashim	PROPN
ajst-16324	207	5	h	h	PROPN
ajst-16324	207	6	a	a	X
ajst-16324	207	7	,	,	PUNCT
ajst-16324	207	8	ayinde	ayinde	PROPN
ajst-16324	207	9	b	b	PROPN
ajst-16324	207	10	o	o	PROPN
ajst-16324	207	11	,	,	PUNCT
ajst-16324	207	12	abido	abido	PROPN
ajst-16324	207	13	m	m	VERB
ajst-16324	207	14	a.	a.	NOUN
ajst-16324	207	15	optimal	optimal	ADJ
ajst-16324	207	16	placement	placement	NOUN
ajst-16324	207	17	of	of	ADP
ajst-16324	207	18	relay	relay	NOUN
ajst-16324	207	19	nodes	node	NOUN
ajst-16324	207	20	in	in	ADP
ajst-16324	207	21	wireless	wireless	ADJ
ajst-16324	207	22	sensor	sensor	NOUN
ajst-16324	207	23	network	network	NOUN
ajst-16324	207	24	using	use	VERB
ajst-16324	207	25	artificial	artificial	ADJ
ajst-16324	207	26	bee	bee	NOUN
ajst-16324	207	27	colony	colony	NOUN
ajst-16324	207	28	algorithm[j	algorithm[j	PROPN
ajst-16324	207	29	]	]	PUNCT
ajst-16324	207	30	.	.	PUNCT
ajst-16324	208	1	journal	journal	PROPN
ajst-16324	208	2	of	of	ADP
ajst-16324	208	3	network	network	NOUN
ajst-16324	208	4	and	and	CCONJ
ajst-16324	208	5	computer	computer	NOUN
ajst-16324	208	6	applications	application	NOUN
ajst-16324	208	7	,	,	PUNCT
ajst-16324	208	8	2016	2016	NUM
ajst-16324	208	9	,	,	PUNCT
ajst-16324	208	10	64	64	NUM
ajst-16324	208	11	:	:	SYM
ajst-16324	208	12	239	239	NUM
ajst-16324	208	13	-	-	SYM
ajst-16324	208	14	248	248	NUM
ajst-16324	208	15	.	.	PUNCT
ajst-16324	209	1	[	[	X
ajst-16324	209	2	11	11	NUM
ajst-16324	209	3	]	]	X
ajst-16324	209	4	y.m	y.m	PROPN
ajst-16324	209	5	.	.	PROPN
ajst-16324	209	6	mao	mao	PROPN
ajst-16324	209	7	.	.	PUNCT
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ajst-16324	210	2	deployment	deployment	NOUN
ajst-16324	210	3	of	of	ADP
ajst-16324	210	4	anchor	anchor	NOUN
ajst-16324	210	5	nodes	node	NOUN
ajst-16324	210	6	based	base	VERB
ajst-16324	210	7	on3d	on3d	PROPN
ajst-16324	210	8	spring	spring	NOUN
ajst-16324	210	9	model	model	NOUN
ajst-16324	210	10	system[j	system[j	PROPN
ajst-16324	210	11	]	]	PUNCT
ajst-16324	210	12	.	.	PUNCT
ajst-16324	211	1	telecommunication	telecommunication	NOUN
ajst-16324	211	2	technology	technology	NOUN
ajst-16324	211	3	,	,	PUNCT
ajst-16324	211	4	2020,37(04):1170	2020,37(04):1170	NUM
ajst-16324	211	5	-	-	SYM
ajst-16324	211	6	1173	1173	NUM
ajst-16324	211	7	.	.	PUNCT
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ajst-16324	212	2	12	12	NUM
ajst-16324	212	3	]	]	X
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ajst-16324	212	5	guo	guo	PROPN
ajst-16324	212	6	,	,	PUNCT
ajst-16324	212	7	y.x	y.x	PROPN
ajst-16324	212	8	.	.	PROPN
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ajst-16324	212	10	,	,	PUNCT
ajst-16324	212	11	r.l	r.l	PROPN
ajst-16324	212	12	.	.	PROPN
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ajst-16324	212	14	,	,	PUNCT
ajst-16324	212	15	et	et	PROPN
ajst-16324	212	16	al	al	PROPN
ajst-16324	212	17	.	.	PROPN
ajst-16324	212	18	wsn	wsn	PROPN
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ajst-16324	212	20	optimization	optimization	NOUN
ajst-16324	212	21	based	base	VERB
ajst-16324	212	22	on	on	ADP
ajst-16324	212	23	particle	particle	NOUN
ajst-16324	212	24	swarm	swarm	NOUN
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ajst-16324	213	1	[	[	X
ajst-16324	213	2	j	j	X
ajst-16324	213	3	]	]	X
ajst-16324	213	4	.	.	PUNCT
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ajst-16324	214	2	on	on	ADP
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ajst-16324	214	4	application	application	NOUN
ajst-16324	214	5	,	,	PUNCT
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ajst-16324	214	7	-	-	SYM
ajst-16324	214	8	1173	1173	NUM
ajst-16324	214	9	.	.	PUNCT
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ajst-16324	215	3	]	]	PUNCT
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ajst-16324	215	20	algorithm	algorithm	NOUN
ajst-16324	215	21	for	for	ADP
ajst-16324	215	22	simulating	simulate	VERB
ajst-16324	215	23	a	a	DET
ajst-16324	215	24	solution	solution	NOUN
ajst-16324	215	25	of	of	ADP
ajst-16324	215	26	optimal	optimal	ADJ
ajst-16324	215	27	deployment	deployment	NOUN
ajst-16324	215	28	of	of	ADP
ajst-16324	215	29	an	an	DET
ajst-16324	215	30	underwater	underwater	ADJ
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ajst-16324	215	33	]	]	PUNCT
ajst-16324	215	34	.	.	PUNCT
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ajst-16324	216	2	,	,	PUNCT
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ajst-16324	216	4	.	.	PUNCT
ajst-16324	217	1	[	[	X
ajst-16324	217	2	14	14	NUM
ajst-16324	217	3	]	]	X
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ajst-16324	217	5	m.	m.	PROPN
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ajst-16324	217	7	-	-	PUNCT
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ajst-16324	217	12	,	,	PUNCT
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ajst-16324	217	19	deployment	deployment	NOUN
ajst-16324	217	20	of	of	ADP
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ajst-16324	217	22	sensor	sensor	NOUN
ajst-16324	217	23	networks	network	NOUN
ajst-16324	217	24	targeting	target	VERB
ajst-16324	217	25	environmentmonitoring	environmentmonitore	VERB
ajst-16324	217	26	applications	application	NOUN
ajst-16324	217	27	.	.	PUNCT
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ajst-16324	218	2	communications	communication	NOUN
ajst-16324	218	3	,	,	PUNCT
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ajst-16324	218	5	.	.	PUNCT
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ajst-16324	219	2	):	):	PUNCT
ajst-16324	220	1	p.	p.	NOUN
ajst-16324	220	2	135	135	NUM
ajst-16324	220	3	-	-	SYM
ajst-16324	220	4	148	148	NUM
ajst-16324	220	5	.	.	PUNCT
ajst-16324	221	1	[	[	X
ajst-16324	221	2	15	15	NUM
ajst-16324	221	3	]	]	X
ajst-16324	221	4	f.	f.	PROPN
ajst-16324	221	5	m.	m.	PROPN
ajst-16324	221	6	al	al	PROPN
ajst-16324	221	7	-	-	PUNCT
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ajst-16324	221	14	m.	m.	PROPN
ajst-16324	221	15	ibnkahla	ibnkahla	PROPN
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ajst-16324	221	18	connectivity	connectivity	NOUN
ajst-16324	221	19	in	in	ADP
ajst-16324	221	20	wireless	wireless	ADJ
ajst-16324	221	21	sensor	sensor	NOUN
ajst-16324	221	22	networks	network	NOUN
ajst-16324	221	23	with	with	ADP
ajst-16324	221	24	grid	grid	NOUN
ajst-16324	221	25	-	-	PUNCT
ajst-16324	221	26	based	base	VERB
ajst-16324	221	27	deployments	deployment	NOUN
ajst-16324	221	28	.	.	PUNCT
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ajst-16324	222	2	of	of	ADP
ajst-16324	222	3	network	network	NOUN
ajst-16324	222	4	and	and	CCONJ
ajst-16324	222	5	computer	computer	NOUN
ajst-16324	222	6	applications	application	NOUN
ajst-16324	222	7	,	,	PUNCT
ajst-16324	222	8	2013	2013	NUM
ajst-16324	222	9	.	.	PUNCT
ajst-16324	223	1	36(1	36(1	NUM
ajst-16324	223	2	):	):	PUNCT
ajst-16324	223	3	p.	p.	NOUN
ajst-16324	223	4	368	368	NUM
ajst-16324	223	5	-	-	SYM
ajst-16324	223	6	377	377	NUM
ajst-16324	223	7	.	.	PUNCT
ajst-16324	224	1	[	[	X
ajst-16324	224	2	16	16	NUM
ajst-16324	224	3	]	]	X
ajst-16324	224	4	s.p	s.p	PROPN
ajst-16324	224	5	.	.	PROPN
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ajst-16324	224	9	.	.	PROPN
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ajst-16324	224	11	,	,	PUNCT
ajst-16324	224	12	x.q	x.q	PROPN
ajst-16324	224	13	.	.	PROPN
ajst-16324	224	14	wang	wang	PROPN
ajst-16324	224	15	,	,	PUNCT
ajst-16324	224	16	et	et	PROPN
ajst-16324	224	17	al	al	PROPN
ajst-16324	224	18	.	.	PROPN
ajst-16324	224	19	avirtual	avirtual	PROPN
ajst-16324	224	20	force	force	PROPN
ajst-16324	224	21	algorithm	algorithm	NOUN
ajst-16324	224	22	-	-	PUNCT
ajst-16324	224	23	lévy	lévy	NOUN
ajst-16324	224	24	-	-	PUNCT
ajst-16324	224	25	embedded	embed	VERB
ajst-16324	224	26	grey	grey	ADJ
ajst-16324	224	27	wolf	wolf	PROPN
ajst-16324	224	28	optimization	optimization	NOUN
ajst-16324	224	29	algorithm	algorithm	NOUN
ajst-16324	224	30	for	for	ADP
ajst-16324	224	31	wireless	wireless	ADJ
ajst-16324	224	32	sensor	sensor	NOUN
ajst-16324	224	33	network	network	NOUN
ajst-16324	224	34	coverage	coverage	NOUN
ajst-16324	224	35	optimization[j	optimization[j	PROPN
ajst-16324	224	36	]	]	PUNCT
ajst-16324	224	37	.	.	PUNCT
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ajst-16324	225	2	-	-	NOUN
ajst-16324	225	3	2735	2735	NUM
ajst-16324	225	4	.	.	PUNCT