id	sid	tid	token	lemma	pos
fcis-2965	1	1	frontiers	frontier	NOUN
fcis-2965	1	2	in	in	ADP
fcis-2965	1	3	computing	computing	NOUN
fcis-2965	1	4	and	and	CCONJ
fcis-2965	1	5	intelligent	intelligent	ADJ
fcis-2965	1	6	systems	system	NOUN
fcis-2965	1	7	issn	issn	VERB
fcis-2965	1	8	:	:	PUNCT
fcis-2965	1	9	2832	2832	NUM
fcis-2965	1	10	-	-	SYM
fcis-2965	1	11	6024	6024	NUM
fcis-2965	1	12	|	|	NOUN
fcis-2965	1	13	vol	vol	NOUN
fcis-2965	1	14	.	.	PROPN
fcis-2965	2	1	2	2	NUM
fcis-2965	2	2	,	,	PUNCT
fcis-2965	2	3	no	no	INTJ
fcis-2965	2	4	.	.	NOUN
fcis-2965	2	5	1	1	NUM
fcis-2965	2	6	,	,	PUNCT
fcis-2965	2	7	2022	2022	NUM
fcis-2965	2	8	42	42	NUM
fcis-2965	2	9	application	application	NOUN
fcis-2965	2	10	of	of	ADP
fcis-2965	2	11	improved	improved	ADJ
fcis-2965	2	12	dv	dv	PROPN
fcis-2965	2	13	-	-	ADJ
fcis-2965	2	14	hop	hop	PROPN
fcis-2965	2	15	algorithm	algorithm	NOUN
fcis-2965	2	16	in	in	ADP
fcis-2965	2	17	wireless	wireless	ADJ
fcis-2965	2	18	sensor	sensor	NOUN
fcis-2965	2	19	network	network	NOUN
fcis-2965	2	20	jiaowu	jiaowu	NOUN
fcis-2965	2	21	cai1	cai1	PROPN
fcis-2965	2	22	,	,	PUNCT
fcis-2965	2	23	liangyu	liangyu	NOUN
fcis-2965	2	24	li1	li1	NOUN
fcis-2965	2	25	,	,	PUNCT
fcis-2965	2	26	zhijun	zhijun	PROPN
fcis-2965	2	27	zhang2	zhang2	NOUN
fcis-2965	2	28	1	1	NUM
fcis-2965	2	29	college	college	NOUN
fcis-2965	2	30	of	of	ADP
fcis-2965	2	31	information	information	NOUN
fcis-2965	2	32	engineering	engineer	VERB
fcis-2965	2	33	zhongshan	zhongshan	PROPN
fcis-2965	2	34	polytechnic	polytechnic	PROPN
fcis-2965	2	35	,	,	PUNCT
fcis-2965	2	36	zhongshan	zhongshan	PROPN
fcis-2965	2	37	528400	528400	NUM
fcis-2965	2	38	,	,	PUNCT
fcis-2965	2	39	china	china	PROPN
fcis-2965	2	40	2	2	NUM
fcis-2965	2	41	jiangxi	jiangxi	PROPN
fcis-2965	2	42	coal	coal	NOUN
fcis-2965	2	43	industry	industry	PROPN
fcis-2965	2	44	group	group	PROPN
fcis-2965	2	45	co.	co.	PROPN
fcis-2965	2	46	,	,	PUNCT
fcis-2965	2	47	ltd	ltd	PROPN
fcis-2965	2	48	,	,	PUNCT
fcis-2965	2	49	pingxiang	pingxiang	PROPN
fcis-2965	2	50	337000	337000	NUM
fcis-2965	2	51	,	,	PUNCT
fcis-2965	2	52	china	china	PROPN
fcis-2965	2	53	abstract	abstract	NOUN
fcis-2965	2	54	:	:	PUNCT
fcis-2965	2	55	to	to	PART
fcis-2965	2	56	improve	improve	VERB
fcis-2965	2	57	the	the	DET
fcis-2965	2	58	problem	problem	NOUN
fcis-2965	2	59	of	of	ADP
fcis-2965	2	60	inaccurate	inaccurate	ADJ
fcis-2965	2	61	wireless	wireless	ADJ
fcis-2965	2	62	sensor	sensor	NOUN
fcis-2965	2	63	network	network	NOUN
fcis-2965	2	64	positioning	positioning	NOUN
fcis-2965	2	65	algorithm	algorithm	NOUN
fcis-2965	2	66	of	of	ADP
fcis-2965	2	67	dv	dv	PROPN
fcis-2965	2	68	-	-	ADJ
fcis-2965	2	69	hop	hop	PROPN
fcis-2965	2	70	node	node	NOUN
fcis-2965	2	71	is	be	AUX
fcis-2965	2	72	proposed	propose	VERB
fcis-2965	2	73	.	.	PUNCT
fcis-2965	3	1	firstly	firstly	ADV
fcis-2965	3	2	,	,	PUNCT
fcis-2965	3	3	the	the	DET
fcis-2965	3	4	optimization	optimization	NOUN
fcis-2965	3	5	scheme	scheme	NOUN
fcis-2965	3	6	of	of	ADP
fcis-2965	3	7	the	the	DET
fcis-2965	3	8	anchor	anchor	NOUN
fcis-2965	3	9	nodes	node	NOUN
fcis-2965	3	10	is	be	AUX
fcis-2965	3	11	completed	complete	VERB
fcis-2965	3	12	by	by	ADP
fcis-2965	3	13	calculating	calculate	VERB
fcis-2965	3	14	the	the	DET
fcis-2965	3	15	triangle	triangle	NOUN
fcis-2965	3	16	area	area	NOUN
fcis-2965	3	17	of	of	ADP
fcis-2965	3	18	the	the	DET
fcis-2965	3	19	anchor	anchor	NOUN
fcis-2965	3	20	nodes	nod	VERB
fcis-2965	3	21	.	.	PUNCT
fcis-2965	4	1	furthermore	furthermore	ADV
fcis-2965	4	2	,	,	PUNCT
fcis-2965	4	3	the	the	DET
fcis-2965	4	4	particle	particle	NOUN
fcis-2965	4	5	group	group	NOUN
fcis-2965	4	6	optimization	optimization	NOUN
fcis-2965	4	7	algorithm	algorithm	NOUN
fcis-2965	4	8	combines	combine	VERB
fcis-2965	4	9	the	the	DET
fcis-2965	4	10	genetic	genetic	ADJ
fcis-2965	4	11	chaotic	chaotic	ADJ
fcis-2965	4	12	particle	particle	NOUN
fcis-2965	4	13	group	group	NOUN
fcis-2965	4	14	theory	theory	NOUN
fcis-2965	4	15	,	,	PUNCT
fcis-2965	4	16	and	and	CCONJ
fcis-2965	4	17	finally	finally	ADV
fcis-2965	4	18	,	,	PUNCT
fcis-2965	4	19	the	the	DET
fcis-2965	4	20	improved	improved	ADJ
fcis-2965	4	21	particle	particle	NOUN
fcis-2965	4	22	group	group	NOUN
fcis-2965	4	23	algorithm	algorithm	NOUN
fcis-2965	4	24	is	be	AUX
fcis-2965	4	25	used	use	VERB
fcis-2965	4	26	to	to	PART
fcis-2965	4	27	correct	correct	VERB
fcis-2965	4	28	the	the	DET
fcis-2965	4	29	node	node	ADJ
fcis-2965	4	30	position	position	NOUN
fcis-2965	4	31	obtained	obtain	VERB
fcis-2965	4	32	by	by	ADP
fcis-2965	4	33	the	the	DET
fcis-2965	4	34	dv	dv	PROPN
fcis-2965	4	35	-	-	PUNCT
fcis-2965	4	36	hop	hop	PROPN
fcis-2965	4	37	algorithm	algorithm	NOUN
fcis-2965	4	38	.	.	PUNCT
fcis-2965	5	1	the	the	DET
fcis-2965	5	2	simulation	simulation	NOUN
fcis-2965	5	3	experiments	experiment	NOUN
fcis-2965	5	4	show	show	VERB
fcis-2965	5	5	that	that	SCONJ
fcis-2965	5	6	improving	improve	VERB
fcis-2965	5	7	the	the	DET
fcis-2965	5	8	dv	dv	PROPN
fcis-2965	5	9	-	-	ADJ
fcis-2965	5	10	hop	hop	PROPN
fcis-2965	5	11	algorithm	algorithm	NOUN
fcis-2965	5	12	compared	compare	VERB
fcis-2965	5	13	with	with	ADP
fcis-2965	5	14	the	the	DET
fcis-2965	5	15	traditional	traditional	ADJ
fcis-2965	5	16	d	d	PROPN
fcis-2965	5	17	v	v	ADJ
fcis-2965	5	18	-	-	PUNCT
fcis-2965	5	19	hop	hop	NOUN
fcis-2965	5	20	algorithm	algorithm	NOUN
fcis-2965	5	21	to	to	PART
fcis-2965	5	22	monitor	monitor	VERB
fcis-2965	5	23	the	the	DET
fcis-2965	5	24	underground	underground	ADJ
fcis-2965	5	25	leakage	leakage	NOUN
fcis-2965	5	26	accident	accident	NOUN
fcis-2965	5	27	position	position	NOUN
fcis-2965	5	28	more	more	ADV
fcis-2965	5	29	accurately	accurately	ADV
fcis-2965	5	30	.	.	PUNCT
fcis-2965	6	1	keywords	keyword	NOUN
fcis-2965	6	2	:	:	PUNCT
fcis-2965	6	3	particle	particle	NOUN
fcis-2965	6	4	swarm	swarm	NOUN
fcis-2965	6	5	algorithm	algorithm	NOUN
fcis-2965	6	6	;	;	PUNCT
fcis-2965	6	7	genetic	genetic	ADJ
fcis-2965	6	8	algorithm	algorithm	NOUN
fcis-2965	6	9	;	;	PUNCT
fcis-2965	7	1	dv	dv	PROPN
fcis-2965	7	2	-	-	PROPN
fcis-2965	7	3	hop	hop	PROPN
fcis-2965	7	4	;	;	PUNCT
fcis-2965	7	5	wireless	wireless	ADJ
fcis-2965	7	6	sensor	sensor	NOUN
fcis-2965	7	7	network	network	NOUN
fcis-2965	7	8	.	.	PUNCT
fcis-2965	8	1	1	1	X
fcis-2965	8	2	.	.	X
fcis-2965	8	3	introduction	introduction	NOUN
fcis-2965	8	4	with	with	ADP
fcis-2965	8	5	the	the	DET
fcis-2965	8	6	development	development	NOUN
fcis-2965	8	7	of	of	ADP
fcis-2965	8	8	wireless	wireless	ADJ
fcis-2965	8	9	communication	communication	NOUN
fcis-2965	8	10	technology	technology	NOUN
fcis-2965	8	11	,	,	PUNCT
fcis-2965	8	12	wireless	wireless	ADJ
fcis-2965	8	13	sensor	sensor	NOUN
fcis-2965	8	14	network	network	NOUN
fcis-2965	8	15	(	(	PUNCT
fcis-2965	8	16	wsn	wsn	PROPN
fcis-2965	8	17	)	)	PUNCT
fcis-2965	8	18	is	be	AUX
fcis-2965	8	19	increasingly	increasingly	ADV
fcis-2965	8	20	used	use	VERB
fcis-2965	8	21	in	in	ADP
fcis-2965	8	22	coal	coal	NOUN
fcis-2965	8	23	mines.among	mines.among	PROPN
fcis-2965	8	24	dv	dv	PROPN
fcis-2965	8	25	-	-	PROPN
fcis-2965	8	26	hop[1	hop[1	NOUN
fcis-2965	8	27	-	-	PUNCT
fcis-2965	8	28	2]as	2]as	NUM
fcis-2965	8	29	a	a	DET
fcis-2965	8	30	no	no	DET
fcis-2965	8	31	-	-	PUNCT
fcis-2965	8	32	need	need	NOUN
fcis-2965	8	33	ranging	ranging	NOUN
fcis-2965	8	34	and	and	CCONJ
fcis-2965	8	35	positioning	positioning	NOUN
fcis-2965	8	36	algorithm	algorithm	NOUN
fcis-2965	8	37	,	,	PUNCT
fcis-2965	8	38	it	it	PRON
fcis-2965	8	39	is	be	AUX
fcis-2965	8	40	very	very	ADV
fcis-2965	8	41	suitable	suitable	ADJ
fcis-2965	8	42	for	for	ADP
fcis-2965	8	43	wsn	wsn	PROPN
fcis-2965	8	44	node	node	ADJ
fcis-2965	8	45	positioning	positioning	NOUN
fcis-2965	8	46	under	under	ADP
fcis-2965	8	47	the	the	DET
fcis-2965	8	48	mine	mine	NOUN
fcis-2965	8	49	.	.	PUNCT
fcis-2965	9	1	many	many	ADJ
fcis-2965	9	2	optimization	optimization	NOUN
fcis-2965	9	3	algorithms	algorithm	NOUN
fcis-2965	9	4	have	have	AUX
fcis-2965	9	5	been	be	AUX
fcis-2965	9	6	improved	improve	VERB
fcis-2965	9	7	to	to	PART
fcis-2965	9	8	reduce	reduce	VERB
fcis-2965	9	9	localization	localization	NOUN
fcis-2965	9	10	error	error	NOUN
fcis-2965	9	11	and	and	CCONJ
fcis-2965	9	12	improve	improve	VERB
fcis-2965	9	13	localization	localization	NOUN
fcis-2965	9	14	accuracy	accuracy	NOUN
fcis-2965	10	1	[	[	X
fcis-2965	10	2	3	3	NUM
fcis-2965	10	3	-	-	SYM
fcis-2965	10	4	7	7	NUM
fcis-2965	10	5	]	]	PUNCT
fcis-2965	10	6	.	.	PUNCT
fcis-2965	11	1	document	document	NOUN
fcis-2965	12	1	[	[	X
fcis-2965	12	2	3	3	X
fcis-2965	12	3	]	]	PUNCT
fcis-2965	12	4	the	the	DET
fcis-2965	12	5	ant	ant	ADJ
fcis-2965	12	6	colony	colony	NOUN
fcis-2965	12	7	particle	particle	NOUN
fcis-2965	12	8	swarm	swarm	NOUN
fcis-2965	12	9	algorithm	algorithm	NOUN
fcis-2965	12	10	is	be	AUX
fcis-2965	12	11	introduced	introduce	VERB
fcis-2965	12	12	into	into	ADP
fcis-2965	12	13	the	the	DET
fcis-2965	12	14	unknown	unknown	ADJ
fcis-2965	12	15	node	node	ADJ
fcis-2965	12	16	computation	computation	NOUN
fcis-2965	12	17	stage	stage	NOUN
fcis-2965	12	18	of	of	ADP
fcis-2965	12	19	the	the	DET
fcis-2965	12	20	dv	dv	PROPN
fcis-2965	12	21	-	-	ADJ
fcis-2965	12	22	hop	hop	PROPN
fcis-2965	12	23	algorithm	algorithm	NOUN
fcis-2965	12	24	to	to	PART
fcis-2965	12	25	improve	improve	VERB
fcis-2965	12	26	the	the	DET
fcis-2965	12	27	localization	localization	NOUN
fcis-2965	12	28	accuracy	accuracy	NOUN
fcis-2965	12	29	.	.	PUNCT
fcis-2965	13	1	document	document	NOUN
fcis-2965	14	1	[	[	X
fcis-2965	14	2	4	4	X
fcis-2965	14	3	]	]	X
fcis-2965	14	4	the	the	DET
fcis-2965	14	5	problem	problem	NOUN
fcis-2965	14	6	of	of	ADP
fcis-2965	14	7	collinear	collinear	ADJ
fcis-2965	14	8	anchor	anchor	NOUN
fcis-2965	14	9	nodes	node	NOUN
fcis-2965	14	10	is	be	AUX
fcis-2965	14	11	removed	remove	VERB
fcis-2965	14	12	by	by	ADP
fcis-2965	14	13	using	use	VERB
fcis-2965	14	14	the	the	DET
fcis-2965	14	15	angle	angle	NOUN
fcis-2965	14	16	comparison	comparison	NOUN
fcis-2965	14	17	principle	principle	NOUN
fcis-2965	14	18	of	of	ADP
fcis-2965	14	19	the	the	DET
fcis-2965	14	20	multilateral	multilateral	ADJ
fcis-2965	14	21	measurement	measurement	NOUN
fcis-2965	14	22	method	method	NOUN
fcis-2965	14	23	.	.	PUNCT
fcis-2965	15	1	document	document	NOUN
fcis-2965	16	1	[	[	X
fcis-2965	16	2	5	5	X
fcis-2965	16	3	]	]	PUNCT
fcis-2965	16	4	the	the	DET
fcis-2965	16	5	frog	frog	NOUN
fcis-2965	16	6	algorithm	algorithm	NOUN
fcis-2965	16	7	is	be	AUX
fcis-2965	16	8	introduced	introduce	VERB
fcis-2965	16	9	to	to	PART
fcis-2965	16	10	solve	solve	VERB
fcis-2965	16	11	the	the	DET
fcis-2965	16	12	average	average	NOUN
fcis-2965	16	13	per	per	ADP
fcis-2965	16	14	hop	hop	NOUN
fcis-2965	16	15	distance	distance	NOUN
fcis-2965	16	16	,	,	PUNCT
fcis-2965	16	17	thus	thus	ADV
fcis-2965	16	18	reducing	reduce	VERB
fcis-2965	16	19	the	the	DET
fcis-2965	16	20	node	node	ADJ
fcis-2965	16	21	localization	localization	NOUN
fcis-2965	16	22	error	error	NOUN
fcis-2965	16	23	and	and	CCONJ
fcis-2965	16	24	making	make	VERB
fcis-2965	16	25	it	it	PRON
fcis-2965	16	26	closer	close	ADJ
fcis-2965	16	27	to	to	ADP
fcis-2965	16	28	the	the	DET
fcis-2965	16	29	actual	actual	ADJ
fcis-2965	16	30	value	value	NOUN
fcis-2965	16	31	.	.	PUNCT
fcis-2965	17	1	these	these	DET
fcis-2965	17	2	algorithms	algorithm	NOUN
fcis-2965	17	3	contribute	contribute	VERB
fcis-2965	17	4	to	to	ADP
fcis-2965	17	5	some	some	DET
fcis-2965	17	6	extent	extent	NOUN
fcis-2965	17	7	to	to	PART
fcis-2965	17	8	optimize	optimize	VERB
fcis-2965	17	9	the	the	DET
fcis-2965	17	10	performance	performance	NOUN
fcis-2965	17	11	of	of	ADP
fcis-2965	17	12	the	the	DET
fcis-2965	17	13	dv	dv	PROPN
fcis-2965	17	14	-	-	PUNCT
fcis-2965	17	15	hop	hop	PROPN
fcis-2965	17	16	algorithm	algorithm	NOUN
fcis-2965	17	17	,	,	PUNCT
fcis-2965	17	18	but	but	CCONJ
fcis-2965	17	19	they	they	PRON
fcis-2965	17	20	still	still	ADV
fcis-2965	17	21	have	have	VERB
fcis-2965	17	22	shortcomings	shortcoming	NOUN
fcis-2965	17	23	.	.	PUNCT
fcis-2965	18	1	based	base	VERB
fcis-2965	18	2	on	on	ADP
fcis-2965	18	3	the	the	DET
fcis-2965	18	4	dv	dv	PROPN
fcis-2965	18	5	-	-	ADJ
fcis-2965	18	6	hop	hop	PROPN
fcis-2965	18	7	positioning	positioning	NOUN
fcis-2965	18	8	algorithm	algorithm	NOUN
fcis-2965	18	9	,	,	PUNCT
fcis-2965	18	10	an	an	DET
fcis-2965	18	11	anchor	anchor	NOUN
fcis-2965	18	12	node	node	NOUN
fcis-2965	18	13	optimization	optimization	NOUN
fcis-2965	18	14	method	method	NOUN
fcis-2965	18	15	avoids	avoid	VERB
fcis-2965	18	16	the	the	DET
fcis-2965	18	17	problem	problem	NOUN
fcis-2965	18	18	that	that	SCONJ
fcis-2965	18	19	the	the	DET
fcis-2965	18	20	nodes	node	NOUN
fcis-2965	18	21	can	can	AUX
fcis-2965	18	22	not	not	PART
fcis-2965	18	23	be	be	AUX
fcis-2965	18	24	located	locate	VERB
fcis-2965	18	25	,	,	PUNCT
fcis-2965	18	26	and	and	CCONJ
fcis-2965	18	27	proposes	propose	VERB
fcis-2965	18	28	a	a	DET
fcis-2965	18	29	dv	dv	PROPN
fcis-2965	18	30	-	-	PUNCT
fcis-2965	18	31	hop	hop	PROPN
fcis-2965	18	32	improvement	improvement	NOUN
fcis-2965	18	33	scheme	scheme	NOUN
fcis-2965	18	34	based	base	VERB
fcis-2965	18	35	on	on	ADP
fcis-2965	18	36	the	the	DET
fcis-2965	18	37	genetic	genetic	ADJ
fcis-2965	18	38	chaotic	chaotic	ADJ
fcis-2965	18	39	particle	particle	NOUN
fcis-2965	18	40	swarm	swarm	NOUN
fcis-2965	18	41	algorithm	algorithm	NOUN
fcis-2965	18	42	to	to	PART
fcis-2965	18	43	reduce	reduce	VERB
fcis-2965	18	44	the	the	DET
fcis-2965	18	45	average	average	ADJ
fcis-2965	18	46	positioning	positioning	NOUN
fcis-2965	18	47	error	error	NOUN
fcis-2965	18	48	of	of	ADP
fcis-2965	18	49	downhole	downhole	ADJ
fcis-2965	18	50	distribution	distribution	NOUN
fcis-2965	18	51	network	network	NOUN
fcis-2965	18	52	faults	fault	NOUN
fcis-2965	18	53	and	and	CCONJ
fcis-2965	18	54	improve	improve	VERB
fcis-2965	18	55	the	the	DET
fcis-2965	18	56	positioning	positioning	NOUN
fcis-2965	18	57	accuracy	accuracy	NOUN
fcis-2965	18	58	.	.	PUNCT
fcis-2965	19	1	2	2	X
fcis-2965	19	2	.	.	X
fcis-2965	19	3	analysis	analysis	NOUN
fcis-2965	19	4	and	and	CCONJ
fcis-2965	19	5	improvement	improvement	NOUN
fcis-2965	19	6	of	of	ADP
fcis-2965	19	7	the	the	DET
fcis-2965	19	8	dv	dv	PROPN
fcis-2965	19	9	-	-	ADJ
fcis-2965	19	10	hop	hop	PROPN
fcis-2965	19	11	algorithm	algorithm	PROPN
fcis-2965	19	12	2.1	2.1	NUM
fcis-2965	19	13	.	.	PUNCT
fcis-2965	20	1	dv	dv	PROPN
fcis-2965	20	2	-	-	PUNCT
fcis-2965	20	3	hop	hop	PROPN
fcis-2965	20	4	algorithm	algorithm	NOUN
fcis-2965	20	5	the	the	DET
fcis-2965	20	6	dv	dv	PROPN
fcis-2965	20	7	-	-	ADJ
fcis-2965	20	8	hop	hop	PROPN
fcis-2965	20	9	algorithm	algorithm	NOUN
fcis-2965	20	10	process	process	NOUN
fcis-2965	20	11	is	be	AUX
fcis-2965	20	12	located	locate	VERB
fcis-2965	20	13	as	as	SCONJ
fcis-2965	20	14	follows	follow	VERB
fcis-2965	20	15	:	:	PUNCT
fcis-2965	20	16	step	step	NOUN
fcis-2965	20	17	1	1	NUM
fcis-2965	20	18	anchor	anchor	NOUN
fcis-2965	20	19	node	node	NOUN
fcis-2965	20	20	will	will	AUX
fcis-2965	20	21	its	its	PRON
fcis-2965	20	22	own	own	ADJ
fcis-2965	20	23	information	information	NOUN
fcis-2965	20	24	(	(	PUNCT
fcis-2965	20	25	i	i	PROPN
fcis-2965	20	26	d	d	PROPN
fcis-2965	20	27	,	,	PUNCT
fcis-2965	20	28	coordinates	coordinate	NOUN
fcis-2965	20	29	,	,	PUNCT
fcis-2965	20	30	anchor	anchor	NOUN
fcis-2965	20	31	receiving	receive	VERB
fcis-2965	20	32	information	information	NOUN
fcis-2965	20	33	node	node	NOUN
fcis-2965	20	34	jump	jump	NOUN
fcis-2965	20	35	)	)	PUNCT
fcis-2965	20	36	through	through	ADP
fcis-2965	20	37	the	the	DET
fcis-2965	20	38	flood	flood	NOUN
fcis-2965	20	39	,	,	PUNCT
fcis-2965	20	40	the	the	DET
fcis-2965	20	41	initial	initial	ADJ
fcis-2965	20	42	value	value	NOUN
fcis-2965	20	43	of	of	ADP
fcis-2965	20	44	jump	jump	NOUN
fcis-2965	20	45	is	be	AUX
fcis-2965	20	46	set	set	VERB
fcis-2965	20	47	to	to	ADP
fcis-2965	20	48	0	0	NUM
fcis-2965	20	49	,	,	PUNCT
fcis-2965	20	50	each	each	DET
fcis-2965	20	51	critical	critical	ADJ
fcis-2965	20	52	point	point	NOUN
fcis-2965	20	53	received	receive	VERB
fcis-2965	20	54	the	the	DET
fcis-2965	20	55	information	information	NOUN
fcis-2965	20	56	and	and	CCONJ
fcis-2965	20	57	update	update	VERB
fcis-2965	20	58	the	the	DET
fcis-2965	20	59	minimum	minimum	ADJ
fcis-2965	20	60	jump	jump	NOUN
fcis-2965	20	61	,	,	PUNCT
fcis-2965	20	62	and	and	CCONJ
fcis-2965	20	63	jump	jump	VERB
fcis-2965	20	64	number	number	NOUN
fcis-2965	20	65	plus	plus	CCONJ
fcis-2965	20	66	1	1	NUM
fcis-2965	20	67	,	,	PUNCT
fcis-2965	20	68	and	and	CCONJ
fcis-2965	20	69	continue	continue	VERB
fcis-2965	20	70	to	to	PART
fcis-2965	20	71	forward	forward	VERB
fcis-2965	20	72	to	to	ADP
fcis-2965	20	73	the	the	DET
fcis-2965	20	74	neighbor	neighbor	NOUN
fcis-2965	20	75	node	node	PROPN
fcis-2965	20	76	,	,	PUNCT
fcis-2965	20	77	this	this	DET
fcis-2965	20	78	rule	rule	NOUN
fcis-2965	20	79	to	to	PART
fcis-2965	20	80	obtain	obtain	VERB
fcis-2965	20	81	the	the	DET
fcis-2965	20	82	unknown	unknown	ADJ
fcis-2965	20	83	node	node	NOUN
fcis-2965	20	84	from	from	ADP
fcis-2965	20	85	each	each	DET
fcis-2965	20	86	anchor	anchor	NOUN
fcis-2965	20	87	node	node	ADJ
fcis-2965	20	88	minimum	minimum	NOUN
fcis-2965	20	89	jump	jump	NOUN
fcis-2965	20	90	value	value	NOUN
fcis-2965	20	91	.	.	PUNCT
fcis-2965	21	1	step	step	NOUN
fcis-2965	21	2	2	2	NUM
fcis-2965	21	3	takes	take	VERB
fcis-2965	21	4	the	the	DET
fcis-2965	21	5	jumps	jump	NOUN
fcis-2965	21	6	of	of	ADP
fcis-2965	21	7	other	other	ADJ
fcis-2965	21	8	anchor	anchor	NOUN
fcis-2965	21	9	nodes	node	NOUN
fcis-2965	21	10	and	and	CCONJ
fcis-2965	21	11	the	the	DET
fcis-2965	21	12	average	average	ADJ
fcis-2965	21	13	distance	distance	NOUN
fcis-2965	21	14	per	per	ADP
fcis-2965	21	15	jump	jump	NOUN
fcis-2965	21	16	of	of	ADP
fcis-2965	21	17	the	the	DET
fcis-2965	21	18	anchor	anchor	NOUN
fcis-2965	21	19	node	node	NOUN
fcis-2965	21	20	is	be	AUX
fcis-2965	21	21	calculated	calculate	VERB
fcis-2965	21	22	according	accord	VERB
fcis-2965	21	23	to	to	ADP
fcis-2965	21	24	eq	eq	PROPN
fcis-2965	21	25	.	.	PUNCT
fcis-2965	22	1	(	(	PUNCT
fcis-2965	22	2	1	1	NUM
fcis-2965	22	3	)	)	PUNCT
fcis-2965	22	4	.	.	PUNCT
fcis-2965	23	1	𝑑𝑖𝑠𝑎	𝑑𝑖𝑠𝑎	NOUN
fcis-2965	23	2	=	=	SYM
fcis-2965	23	3	∑	∑	PUNCT
fcis-2965	23	4	√(𝑥𝑖−𝑥𝑗)2+(𝑦𝑖−𝑦𝑗)2	√(𝑥𝑖−𝑥𝑗)2+(𝑦𝑖−𝑦𝑗)2	NOUN
fcis-2965	23	5	𝑖≠𝑗	𝑖≠𝑗	ADV
fcis-2965	23	6	∑	∑	PROPN
fcis-2965	23	7	ℎ𝑐𝑖𝑗𝑖≠𝑗	ℎ𝑐𝑖𝑗𝑖≠𝑗	PROPN
fcis-2965	23	8	(	(	PUNCT
fcis-2965	23	9	1	1	X
fcis-2965	23	10	)	)	PUNCT
fcis-2965	23	11	in	in	ADP
fcis-2965	23	12	this	this	PRON
fcis-2965	23	13	eq	eq	NOUN
fcis-2965	23	14	.	.	PUNCT
fcis-2965	23	15	:	:	PUNCT
fcis-2965	23	16	(	(	PUNCT
fcis-2965	23	17	𝑥𝑖	𝑥𝑖	X
fcis-2965	23	18	,	,	PUNCT
fcis-2965	23	19	𝑦𝑖	𝑦𝑖	PROPN
fcis-2965	23	20	)	)	PUNCT
fcis-2965	23	21	and	and	CCONJ
fcis-2965	23	22	(	(	PUNCT
fcis-2965	23	23	𝑥𝑗	𝑥𝑗	PROPN
fcis-2965	23	24	,	,	PUNCT
fcis-2965	23	25	𝑦𝑗	𝑦𝑗	PROPN
fcis-2965	23	26	)	)	PUNCT
fcis-2965	23	27	are	be	AUX
fcis-2965	23	28	the	the	DET
fcis-2965	23	29	coordinates	coordinate	NOUN
fcis-2965	23	30	of	of	ADP
fcis-2965	23	31	anchor	anchor	NOUN
fcis-2965	23	32	nodes	nod	VERB
fcis-2965	23	33	𝑖	𝑖	PRON
fcis-2965	23	34	and𝑗	and𝑗	NOUN
fcis-2965	23	35	.ℎ𝑐𝑖𝑗	.ℎ𝑐𝑖𝑗	ADJ
fcis-2965	23	36	is	be	AUX
fcis-2965	23	37	the	the	DET
fcis-2965	23	38	minimum	minimum	ADJ
fcis-2965	23	39	number	number	NOUN
fcis-2965	23	40	of	of	ADP
fcis-2965	23	41	jumps	jump	NOUN
fcis-2965	23	42	between	between	ADP
fcis-2965	23	43	anchor	anchor	NOUN
fcis-2965	23	44	node	node	PROPN
fcis-2965	23	45	𝑖	𝑖	NOUN
fcis-2965	23	46	and	and	CCONJ
fcis-2965	23	47	node𝑗.	node𝑗.	NOUN
fcis-2965	23	48	step	step	NOUN
fcis-2965	23	49	3	3	NUM
fcis-2965	23	50	:	:	PUNCT
fcis-2965	23	51	using	use	VERB
fcis-2965	23	52	the	the	DET
fcis-2965	23	53	three	three	NUM
fcis-2965	23	54	-	-	PUNCT
fcis-2965	23	55	sided	sided	ADJ
fcis-2965	23	56	measurement	measurement	NOUN
fcis-2965	23	57	method	method	NOUN
fcis-2965	23	58	,	,	PUNCT
fcis-2965	23	59	the	the	DET
fcis-2965	23	60	distance	distance	NOUN
fcis-2965	23	61	between	between	ADP
fcis-2965	23	62	the	the	DET
fcis-2965	23	63	unknown	unknown	ADJ
fcis-2965	23	64	node	node	NOUN
fcis-2965	23	65	a0	a0	NOUN
fcis-2965	23	66	and	and	CCONJ
fcis-2965	23	67	the	the	DET
fcis-2965	23	68	anchor	anchor	NOUN
fcis-2965	23	69	nodes	nod	VERB
fcis-2965	23	70	a1	a1	PROPN
fcis-2965	23	71	,	,	PUNCT
fcis-2965	23	72	a2	a2	NOUN
fcis-2965	23	73	,	,	PUNCT
fcis-2965	23	74	and	and	CCONJ
fcis-2965	23	75	a3	a3	NOUN
fcis-2965	23	76	,	,	PUNCT
fcis-2965	23	77	as	as	SCONJ
fcis-2965	23	78	shown	show	VERB
fcis-2965	23	79	in	in	ADP
fcis-2965	23	80	figure	figure	NOUN
fcis-2965	23	81	1	1	NUM
fcis-2965	23	82	,	,	PUNCT
fcis-2965	23	83	is	be	AUX
fcis-2965	23	84	calculated	calculate	VERB
fcis-2965	23	85	by	by	ADP
fcis-2965	23	86	eq.(2	eq.(2	NOUN
fcis-2965	23	87	)	)	PUNCT
fcis-2965	23	88	.	.	PUNCT
fcis-2965	24	1	{	{	PUNCT
fcis-2965	25	1	√(𝑥1	√(𝑥1	PROPN
fcis-2965	25	2	−	−	PROPN
fcis-2965	25	3	𝑥)2	𝑥)2	PROPN
fcis-2965	25	4	+	+	NUM
fcis-2965	25	5	(	(	PUNCT
fcis-2965	25	6	𝑦1	𝑦1	PROPN
fcis-2965	25	7	−	−	PROPN
fcis-2965	25	8	𝑦)2	𝑦)2	NOUN
fcis-2965	25	9	=	=	SYM
fcis-2965	25	10	𝑑1	𝑑1	NOUN
fcis-2965	25	11	√(𝑥2	√(𝑥2	PROPN
fcis-2965	25	12	−	−	PROPN
fcis-2965	25	13	𝑥)2	𝑥)2	PROPN
fcis-2965	25	14	+	+	NUM
fcis-2965	25	15	(	(	PUNCT
fcis-2965	25	16	𝑦2	𝑦2	NOUN
fcis-2965	25	17	−	−	PROPN
fcis-2965	25	18	𝑦)2	𝑦)2	NOUN
fcis-2965	25	19	=	=	PUNCT
fcis-2965	26	1	𝑑2	𝑑2	PROPN
fcis-2965	26	2	√(𝑥3	√(𝑥3	PROPN
fcis-2965	26	3	−	−	PROPN
fcis-2965	26	4	𝑥)2	𝑥)2	PROPN
fcis-2965	26	5	+	+	CCONJ
fcis-2965	26	6	(	(	PUNCT
fcis-2965	26	7	𝑦3	𝑦3	PROPN
fcis-2965	26	8	−	−	PROPN
fcis-2965	26	9	𝑦)2	𝑦)2	NOUN
fcis-2965	26	10	=	=	SYM
fcis-2965	26	11	𝑑3	𝑑3	NOUN
fcis-2965	26	12	(	(	PUNCT
fcis-2965	26	13	2	2	NUM
fcis-2965	26	14	)	)	PUNCT
fcis-2965	26	15	figure	figure	NOUN
fcis-2965	26	16	1	1	NUM
fcis-2965	26	17	.	.	PUNCT
fcis-2965	26	18	schematic	schematic	ADJ
fcis-2965	26	19	diagram	diagram	NOUN
fcis-2965	26	20	of	of	ADP
fcis-2965	26	21	the	the	DET
fcis-2965	26	22	trilateral	trilateral	ADJ
fcis-2965	26	23	measurement	measurement	NOUN
fcis-2965	26	24	method	method	NOUN
fcis-2965	26	25	convert	convert	VERB
fcis-2965	26	26	eq	eq	ADP
fcis-2965	26	27	.	.	PUNCT
fcis-2965	27	1	(	(	PUNCT
fcis-2965	27	2	2	2	NUM
fcis-2965	27	3	)	)	PUNCT
fcis-2965	27	4	to	to	ADP
fcis-2965	27	5	the	the	DET
fcis-2965	27	6	format	format	NOUN
fcis-2965	27	7	of	of	ADP
fcis-2965	27	8	eq	eq	NOUN
fcis-2965	27	9	.	.	PUNCT
fcis-2965	28	1	ax	ax	NOUN
fcis-2965	28	2	=	=	NOUN
fcis-2965	28	3	p	p	NOUN
fcis-2965	28	4	:	:	PUNCT
fcis-2965	28	5			NOUN
fcis-2965	28	6			PROPN
fcis-2965	29	1			PROPN
fcis-2965	29	2			PROPN
fcis-2965	29	3			PROPN
fcis-2965	29	4			X
fcis-2965	29	5			NOUN
fcis-2965	29	6			NOUN
fcis-2965	29	7			NOUN
fcis-2965	29	8			NOUN
fcis-2965	29	9			VERB
fcis-2965	29	10			PROPN
fcis-2965	29	11	−−	−−	PROPN
fcis-2965	29	12	−−	−−	NOUN
fcis-2965	29	13	−−	−−	NOUN
fcis-2965	29	14	=	=	SYM
fcis-2965	29	15	−−	−−	NOUN
fcis-2965	29	16	)	)	PUNCT
fcis-2965	29	17	(	(	PUNCT
fcis-2965	29	18	)	)	PUNCT
fcis-2965	29	19	(	(	PUNCT
fcis-2965	29	20	)	)	PUNCT
fcis-2965	29	21	(	(	PUNCT
fcis-2965	29	22	)	)	PUNCT
fcis-2965	29	23	(	(	PUNCT
fcis-2965	29	24	)	)	PUNCT
fcis-2965	29	25	(	(	PUNCT
fcis-2965	29	26	)	)	PUNCT
fcis-2965	29	27	(	(	PUNCT
fcis-2965	29	28	11	11	NUM
fcis-2965	29	29	22	22	NUM
fcis-2965	29	30	11	11	NUM
fcis-2965	29	31	kkkk	kkkk	PROPN
fcis-2965	29	32	kk	kk	PROPN
fcis-2965	29	33	kk	kk	PROPN
fcis-2965	29	34	yyxx	yyxx	PROPN
fcis-2965	29	35	yyxx	yyxx	PROPN
fcis-2965	29	36	yyxx	yyxx	PROPN
fcis-2965	30	1	a	a	DET
fcis-2965	30	2			NOUN
fcis-2965	30	3	(	(	PUNCT
fcis-2965	30	4	3	3	NUM
fcis-2965	30	5	)	)	PUNCT
fcis-2965	30	6	𝑋	𝑋	NOUN
fcis-2965	30	7	=	=	PUNCT
fcis-2965	30	8	[	[	PUNCT
fcis-2965	30	9	𝑥	𝑥	X
fcis-2965	30	10	𝑦	𝑦	NOUN
fcis-2965	30	11	]	]	X
fcis-2965	30	12	4	4	NUM
fcis-2965	30	13	)	)	PUNCT
fcis-2965	30	14			NOUN
fcis-2965	30	15			PROPN
fcis-2965	31	1			PUNCT
fcis-2965	31	2			NOUN
fcis-2965	31	3			PROPN
fcis-2965	31	4			PROPN
fcis-2965	31	5			X
fcis-2965	31	6			NOUN
fcis-2965	31	7			NOUN
fcis-2965	31	8			NOUN
fcis-2965	31	9			NOUN
fcis-2965	31	10			NOUN
fcis-2965	31	11			NOUN
fcis-2965	31	12			PROPN
fcis-2965	31	13	−+−+−	−+−+−	NOUN
fcis-2965	31	14	−+−+−	−+−+−	VERB
fcis-2965	31	15	−+−+−	−+−+−	NOUN
fcis-2965	31	16	=	=	PUNCT
fcis-2965	31	17	−−=	−−=	NOUN
fcis-2965	31	18	2	2	NUM
fcis-2965	31	19	1	1	NUM
fcis-2965	31	20	222	222	NUM
fcis-2965	31	21	1	1	NUM
fcis-2965	31	22	22	22	NUM
fcis-2965	31	23	1	1	NUM
fcis-2965	31	24	2	2	NUM
fcis-2965	31	25	2	2	NUM
fcis-2965	31	26	222	222	NUM
fcis-2965	31	27	2	2	NUM
fcis-2965	31	28	22	22	NUM
fcis-2965	31	29	2	2	NUM
fcis-2965	31	30	2	2	NUM
fcis-2965	31	31	1	1	NUM
fcis-2965	31	32	222	222	NUM
fcis-2965	31	33	1	1	NUM
fcis-2965	31	34	22	22	NUM
fcis-2965	31	35	1	1	NUM
fcis-2965	31	36	2	2	NUM
fcis-2965	31	37	1	1	NUM
fcis-2965	31	38	kkkkkk	kkkkkk	PROPN
fcis-2965	31	39	kkk	kkk	PROPN
fcis-2965	31	40	kkk	kkk	PROPN
fcis-2965	31	41	ddyyxx	ddyyxx	NOUN
fcis-2965	31	42	ddyyxx	ddyyxx	NOUN
fcis-2965	31	43	ddyyxx	ddyyxx	NOUN
fcis-2965	31	44	p	p	X
fcis-2965	31	45			NUM
fcis-2965	31	46	(	(	PUNCT
fcis-2965	31	47	5	5	NUM
fcis-2965	31	48	)	)	PUNCT
fcis-2965	31	49	43	43	NUM
fcis-2965	31	50	using	use	VERB
fcis-2965	31	51	least	least	ADJ
fcis-2965	31	52	squares	square	NOUN
fcis-2965	31	53	estimation	estimation	NOUN
fcis-2965	31	54	:	:	PUNCT
fcis-2965	31	55	𝑋	𝑋	PROPN
fcis-2965	31	56	=	=	SYM
fcis-2965	31	57	(	(	PUNCT
fcis-2965	31	58	𝐴𝑇𝐴)−1𝐴𝑇𝑃	𝐴𝑇𝐴)−1𝐴𝑇𝑃	PROPN
fcis-2965	31	59	(	(	PUNCT
fcis-2965	31	60	6	6	NUM
fcis-2965	31	61	)	)	PUNCT
fcis-2965	31	62	2.2	2.2	NUM
fcis-2965	31	63	.	.	PUNCT
fcis-2965	31	64	deficiency	deficiency	NOUN
fcis-2965	31	65	of	of	ADP
fcis-2965	31	66	the	the	DET
fcis-2965	31	67	d	d	PROPN
fcis-2965	31	68	v	v	NOUN
fcis-2965	31	69	-	-	PUNCT
fcis-2965	31	70	hop	hop	NOUN
fcis-2965	31	71	algorithm	algorithm	NOUN
fcis-2965	31	72	(	(	PUNCT
fcis-2965	31	73	1	1	X
fcis-2965	31	74	)	)	PUNCT
fcis-2965	31	75	the	the	DET
fcis-2965	31	76	topological	topological	ADJ
fcis-2965	31	77	relationship	relationship	NOUN
fcis-2965	31	78	of	of	ADP
fcis-2965	31	79	anchor	anchor	NOUN
fcis-2965	31	80	nodes	node	NOUN
fcis-2965	31	81	will	will	AUX
fcis-2965	31	82	directly	directly	ADV
fcis-2965	31	83	affect	affect	VERB
fcis-2965	31	84	the	the	DET
fcis-2965	31	85	positioning	positioning	NOUN
fcis-2965	31	86	accuracy	accuracy	NOUN
fcis-2965	31	87	of	of	ADP
fcis-2965	31	88	wireless	wireless	ADJ
fcis-2965	31	89	sensor	sensor	NOUN
fcis-2965	31	90	nodes	nod	VERB
fcis-2965	31	91	.	.	PUNCT
fcis-2965	32	1	figure	figure	NOUN
fcis-2965	32	2	2	2	NUM
fcis-2965	32	3	shows	show	VERB
fcis-2965	32	4	the	the	DET
fcis-2965	32	5	distribution	distribution	NOUN
fcis-2965	32	6	of	of	ADP
fcis-2965	32	7	wireless	wireless	ADJ
fcis-2965	32	8	sensor	sensor	NOUN
fcis-2965	32	9	nodes	node	NOUN
fcis-2965	32	10	in	in	ADP
fcis-2965	32	11	the	the	DET
fcis-2965	32	12	underground	underground	ADJ
fcis-2965	32	13	coal	coal	NOUN
fcis-2965	32	14	mine	mine	NOUN
fcis-2965	32	15	power	power	NOUN
fcis-2965	32	16	grid	grid	NOUN
fcis-2965	33	1	[	[	X
fcis-2965	33	2	8	8	NUM
fcis-2965	33	3	]	]	PUNCT
fcis-2965	33	4	.	.	PUNCT
fcis-2965	34	1	due	due	ADP
fcis-2965	34	2	to	to	ADP
fcis-2965	34	3	the	the	DET
fcis-2965	34	4	long	long	ADJ
fcis-2965	34	5	and	and	CCONJ
fcis-2965	34	6	narrow	narrow	ADJ
fcis-2965	34	7	geographical	geographical	ADJ
fcis-2965	34	8	environment	environment	NOUN
fcis-2965	34	9	of	of	ADP
fcis-2965	34	10	the	the	DET
fcis-2965	34	11	underground	underground	ADJ
fcis-2965	34	12	coal	coal	NOUN
fcis-2965	34	13	mine	mine	NOUN
fcis-2965	34	14	,	,	PUNCT
fcis-2965	34	15	the	the	DET
fcis-2965	34	16	sensors	sensor	NOUN
fcis-2965	34	17	in	in	ADP
fcis-2965	34	18	the	the	DET
fcis-2965	34	19	distribution	distribution	NOUN
fcis-2965	34	20	network	network	NOUN
fcis-2965	34	21	can	can	AUX
fcis-2965	34	22	not	not	PART
fcis-2965	34	23	meet	meet	VERB
fcis-2965	34	24	the	the	DET
fcis-2965	34	25	requirements	requirement	NOUN
fcis-2965	34	26	of	of	ADP
fcis-2965	34	27	uniform	uniform	ADJ
fcis-2965	34	28	layout	layout	PROPN
fcis-2965	34	29	during	during	ADP
fcis-2965	34	30	installation	installation	NOUN
fcis-2965	34	31	,	,	PUNCT
fcis-2965	34	32	which	which	PRON
fcis-2965	34	33	will	will	AUX
fcis-2965	34	34	produce	produce	VERB
fcis-2965	34	35	the	the	DET
fcis-2965	34	36	sensor	sensor	NOUN
fcis-2965	34	37	node	node	NOUN
fcis-2965	34	38	collinear	collinear	ADJ
fcis-2965	34	39	or	or	CCONJ
fcis-2965	34	40	approximate	approximate	ADJ
fcis-2965	34	41	collinear	collinear	ADJ
fcis-2965	34	42	situation	situation	NOUN
fcis-2965	34	43	,	,	PUNCT
fcis-2965	34	44	neither	neither	PRON
fcis-2965	34	45	of	of	ADP
fcis-2965	34	46	which	which	PRON
fcis-2965	34	47	can	can	AUX
fcis-2965	34	48	achieve	achieve	VERB
fcis-2965	34	49	the	the	DET
fcis-2965	34	50	node	node	ADJ
fcis-2965	34	51	positioning	positioning	NOUN
fcis-2965	34	52	.	.	PUNCT
fcis-2965	35	1	therefore	therefore	ADV
fcis-2965	35	2	,	,	PUNCT
fcis-2965	35	3	the	the	DET
fcis-2965	35	4	removal	removal	NOUN
fcis-2965	35	5	of	of	ADP
fcis-2965	35	6	collinearity	collinearity	NOUN
fcis-2965	35	7	and	and	CCONJ
fcis-2965	35	8	the	the	DET
fcis-2965	35	9	selection	selection	NOUN
fcis-2965	35	10	of	of	ADP
fcis-2965	35	11	suitable	suitable	ADJ
fcis-2965	35	12	anchor	anchor	NOUN
fcis-2965	35	13	nodes	node	NOUN
fcis-2965	35	14	becomes	become	VERB
fcis-2965	35	15	a	a	DET
fcis-2965	35	16	key	key	ADJ
fcis-2965	35	17	problem	problem	NOUN
fcis-2965	35	18	.	.	PUNCT
fcis-2965	36	1	figure	figure	NOUN
fcis-2965	36	2	2	2	NUM
fcis-2965	36	3	.	.	PUNCT
fcis-2965	36	4	distribution	distribution	NOUN
fcis-2965	36	5	diagram	diagram	NOUN
fcis-2965	36	6	of	of	ADP
fcis-2965	36	7	wireless	wireless	ADJ
fcis-2965	36	8	sensors	sensor	NOUN
fcis-2965	36	9	in	in	ADP
fcis-2965	36	10	underground	underground	ADJ
fcis-2965	36	11	coal	coal	NOUN
fcis-2965	36	12	mine	mine	NOUN
fcis-2965	36	13	power	power	NOUN
fcis-2965	36	14	grid	grid	NOUN
fcis-2965	36	15	in	in	ADP
fcis-2965	36	16	the	the	DET
fcis-2965	36	17	dv	dv	PROPN
fcis-2965	36	18	-	-	ADJ
fcis-2965	36	19	hop	hop	PROPN
fcis-2965	36	20	algorithm	algorithm	NOUN
fcis-2965	36	21	,	,	PUNCT
fcis-2965	36	22	the	the	DET
fcis-2965	36	23	average	average	ADJ
fcis-2965	36	24	distance	distance	NOUN
fcis-2965	36	25	often	often	ADV
fcis-2965	36	26	errors	error	VERB
fcis-2965	36	27	with	with	ADP
fcis-2965	36	28	the	the	DET
fcis-2965	36	29	actual	actual	ADJ
fcis-2965	36	30	value	value	NOUN
fcis-2965	36	31	due	due	ADP
fcis-2965	36	32	to	to	ADP
fcis-2965	36	33	the	the	DET
fcis-2965	36	34	influence	influence	NOUN
fcis-2965	36	35	of	of	ADP
fcis-2965	36	36	environment	environment	NOUN
fcis-2965	36	37	and	and	CCONJ
fcis-2965	36	38	communication	communication	NOUN
fcis-2965	36	39	.	.	PUNCT
fcis-2965	37	1	and	and	CCONJ
fcis-2965	37	2	once	once	ADV
fcis-2965	37	3	the	the	DET
fcis-2965	37	4	error	error	NOUN
fcis-2965	37	5	occurs	occur	VERB
fcis-2965	37	6	,	,	PUNCT
fcis-2965	37	7	it	it	PRON
fcis-2965	37	8	will	will	AUX
fcis-2965	37	9	be	be	AUX
fcis-2965	37	10	cumulative	cumulative	ADJ
fcis-2965	37	11	to	to	PART
fcis-2965	37	12	affect	affect	VERB
fcis-2965	37	13	the	the	DET
fcis-2965	37	14	subsequent	subsequent	ADJ
fcis-2965	37	15	calculation	calculation	NOUN
fcis-2965	37	16	,	,	PUNCT
fcis-2965	37	17	and	and	CCONJ
fcis-2965	37	18	eventually	eventually	ADV
fcis-2965	37	19	lead	lead	VERB
fcis-2965	37	20	to	to	ADP
fcis-2965	37	21	greater	great	ADJ
fcis-2965	37	22	calculation	calculation	NOUN
fcis-2965	37	23	errors	error	NOUN
fcis-2965	37	24	.	.	PUNCT
fcis-2965	38	1	therefore	therefore	ADV
fcis-2965	38	2	,	,	PUNCT
fcis-2965	38	3	the	the	DET
fcis-2965	38	4	calculation	calculation	NOUN
fcis-2965	38	5	error	error	NOUN
fcis-2965	38	6	must	must	AUX
fcis-2965	38	7	be	be	AUX
fcis-2965	38	8	reduced	reduce	VERB
fcis-2965	38	9	by	by	ADP
fcis-2965	38	10	correcting	correct	VERB
fcis-2965	38	11	for	for	ADP
fcis-2965	38	12	the	the	DET
fcis-2965	38	13	unknown	unknown	ADJ
fcis-2965	38	14	node	node	NOUN
fcis-2965	38	15	coordinates	coordinate	NOUN
fcis-2965	38	16	.	.	PUNCT
fcis-2965	39	1	3	3	X
fcis-2965	39	2	.	.	X
fcis-2965	39	3	improvement	improvement	NOUN
fcis-2965	39	4	of	of	ADP
fcis-2965	39	5	the	the	DET
fcis-2965	39	6	dv	dv	PROPN
fcis-2965	39	7	-	-	ADJ
fcis-2965	39	8	hop	hop	PROPN
fcis-2965	39	9	algorithm	algorithm	PROPN
fcis-2965	39	10	3.1	3.1	NUM
fcis-2965	39	11	.	.	PUNCT
fcis-2965	40	1	anchor	anchor	PROPN
fcis-2965	40	2	node	node	PROPN
fcis-2965	40	3	preferred	prefer	VERB
fcis-2965	40	4	scheme	scheme	NOUN
fcis-2965	40	5	in	in	ADP
fcis-2965	40	6	this	this	DET
fcis-2965	40	7	paper	paper	NOUN
fcis-2965	40	8	,	,	PUNCT
fcis-2965	40	9	the	the	DET
fcis-2965	40	10	area	area	NOUN
fcis-2965	40	11	of	of	ADP
fcis-2965	40	12	anchor	anchor	NOUN
fcis-2965	40	13	node	node	NOUN
fcis-2965	40	14	by	by	ADP
fcis-2965	40	15	calculating	calculate	VERB
fcis-2965	40	16	whether	whether	SCONJ
fcis-2965	40	17	the	the	DET
fcis-2965	40	18	anchor	anchor	NOUN
fcis-2965	40	19	node	node	NOUN
fcis-2965	40	20	is	be	AUX
fcis-2965	40	21	collinear:𝑆𝑛	collinear:𝑆𝑛	NOUN
fcis-2965	40	22	𝑆𝑛	𝑆𝑛	NOUN
fcis-2965	40	23	=	=	PUNCT
fcis-2965	41	1	|	|	ADV
fcis-2965	41	2	𝑥𝑖	𝑥𝑖	ADV
fcis-2965	41	3	𝑦𝑖	𝑦𝑖	INTJ
fcis-2965	41	4	1	1	NUM
fcis-2965	41	5	𝑥𝑗	𝑥𝑗	NOUN
fcis-2965	41	6	𝑦𝑗	𝑦𝑗	NOUN
fcis-2965	41	7	1	1	NUM
fcis-2965	41	8	𝑥𝑘	𝑥𝑘	NOUN
fcis-2965	41	9	𝑦𝑘	𝑦𝑘	ADP
fcis-2965	41	10	1	1	NUM
fcis-2965	41	11	|	|	ADV
fcis-2965	41	12	(	(	PUNCT
fcis-2965	41	13	7	7	X
fcis-2965	41	14	)	)	PUNCT
fcis-2965	41	15	assume	assume	VERB
fcis-2965	41	16	that	that	SCONJ
fcis-2965	41	17	(	(	PUNCT
fcis-2965	41	18	𝑥𝑖	𝑥𝑖	PROPN
fcis-2965	41	19	,	,	PUNCT
fcis-2965	41	20	𝑦𝑖	𝑦𝑖	PROPN
fcis-2965	41	21	)	)	PUNCT
fcis-2965	41	22	,	,	PUNCT
fcis-2965	41	23	(	(	PUNCT
fcis-2965	41	24	𝑥𝑗	𝑥𝑗	PROPN
fcis-2965	41	25	,	,	PUNCT
fcis-2965	41	26	𝑦𝑗	𝑦𝑗	PROPN
fcis-2965	41	27	)	)	PUNCT
fcis-2965	41	28	and	and	CCONJ
fcis-2965	41	29	(	(	PUNCT
fcis-2965	41	30	𝑥𝑘	𝑥𝑘	INTJ
fcis-2965	41	31	,	,	PUNCT
fcis-2965	41	32	𝑦𝑘	𝑦𝑘	AUX
fcis-2965	41	33	)	)	PUNCT
fcis-2965	41	34	are	be	AUX
fcis-2965	41	35	the	the	DET
fcis-2965	41	36	coordinates	coordinate	NOUN
fcis-2965	41	37	of	of	ADP
fcis-2965	41	38	3	3	NUM
fcis-2965	41	39	anchor	anchor	NOUN
fcis-2965	41	40	nodes	node	NOUN
fcis-2965	41	41	randomly	randomly	ADV
fcis-2965	42	1	distributed,𝑆𝑛is	distributed,𝑆𝑛is	VERB
fcis-2965	43	1	the	the	DET
fcis-2965	43	2	triangle	triangle	NOUN
fcis-2965	43	3	area	area	NOUN
fcis-2965	43	4	composed	compose	VERB
fcis-2965	43	5	of	of	ADP
fcis-2965	43	6	anchor	anchor	NOUN
fcis-2965	43	7	nodes.if	nodes.if	ADV
fcis-2965	43	8	0	0	NUM
fcis-2965	43	9	≤	≤	X
fcis-2965	43	10	𝑆𝑛	𝑆𝑛	ADJ
fcis-2965	43	11	≤	≤	NOUN
fcis-2965	43	12	𝛿	𝛿	ADJ
fcis-2965	43	13	,	,	PUNCT
fcis-2965	43	14	then	then	ADV
fcis-2965	43	15	these	these	DET
fcis-2965	43	16	three	three	NUM
fcis-2965	43	17	anchor	anchor	NOUN
fcis-2965	43	18	nodes	node	NOUN
fcis-2965	43	19	are	be	AUX
fcis-2965	43	20	considered	consider	VERB
fcis-2965	43	21	to	to	PART
fcis-2965	43	22	be	be	AUX
fcis-2965	43	23	in	in	ADP
fcis-2965	43	24	an	an	DET
fcis-2965	43	25	approximate	approximate	ADJ
fcis-2965	43	26	line	line	NOUN
fcis-2965	43	27	,	,	PUNCT
fcis-2965	43	28	so	so	ADV
fcis-2965	43	29	another	another	DET
fcis-2965	43	30	anchor	anchor	NOUN
fcis-2965	43	31	nodes	node	NOUN
fcis-2965	43	32	are	be	AUX
fcis-2965	43	33	needed	need	VERB
fcis-2965	43	34	to	to	PART
fcis-2965	43	35	assist	assist	VERB
fcis-2965	43	36	in	in	ADP
fcis-2965	43	37	positioning	positioning	NOUN
fcis-2965	43	38	.	.	PUNCT
fcis-2965	44	1	3.2	3.2	NUM
fcis-2965	44	2	.	.	PUNCT
fcis-2965	44	3	particle	particle	NOUN
fcis-2965	44	4	swarm	swarm	PROPN
fcis-2965	44	5	optimization	optimization	PROPN
fcis-2965	44	6	dv	dv	PROPN
fcis-2965	44	7	-	-	PROPN
fcis-2965	44	8	hop	hop	VERB
fcis-2965	44	9	the	the	DET
fcis-2965	44	10	particle	particle	NOUN
fcis-2965	44	11	swarm	swarm	NOUN
fcis-2965	44	12	optimization	optimization	NOUN
fcis-2965	44	13	algorithm	algorithm	NOUN
fcis-2965	44	14	pso	pso	NOUN
fcis-2965	44	15	(	(	PUNCT
fcis-2965	44	16	particle	particle	NOUN
fcis-2965	44	17	swarm	swarm	NOUN
fcis-2965	44	18	optimization	optimization	NOUN
fcis-2965	44	19	)	)	PUNCT
fcis-2965	44	20	shows	show	VERB
fcis-2965	44	21	its	its	PRON
fcis-2965	44	22	unique	unique	ADJ
fcis-2965	44	23	advantages	advantage	NOUN
fcis-2965	44	24	in	in	ADP
fcis-2965	44	25	handling	handle	VERB
fcis-2965	44	26	optimization	optimization	NOUN
fcis-2965	44	27	problems	problem	NOUN
fcis-2965	44	28	due	due	ADJ
fcis-2965	44	29	to	to	ADP
fcis-2965	44	30	its	its	PRON
fcis-2965	44	31	excellent	excellent	ADJ
fcis-2965	44	32	global	global	ADJ
fcis-2965	44	33	search	search	NOUN
fcis-2965	44	34	performance	performance	NOUN
fcis-2965	44	35	and	and	CCONJ
fcis-2965	44	36	fast	fast	ADJ
fcis-2965	44	37	convergence	convergence	NOUN
fcis-2965	44	38	ability	ability	NOUN
fcis-2965	44	39	[	[	X
fcis-2965	44	40	9	9	NUM
fcis-2965	44	41	]	]	PUNCT
fcis-2965	44	42	.	.	PUNCT
fcis-2965	45	1	pso	pso	NOUN
fcis-2965	45	2	starts	start	VERB
fcis-2965	45	3	from	from	ADP
fcis-2965	45	4	the	the	DET
fcis-2965	45	5	random	random	ADJ
fcis-2965	45	6	solution	solution	NOUN
fcis-2965	45	7	,	,	PUNCT
fcis-2965	45	8	for	for	ADP
fcis-2965	45	9	the	the	DET
fcis-2965	45	10	𝑛	𝑛	PRON
fcis-2965	45	11	-dimensional	-dimensional	ADJ
fcis-2965	45	12	optimization	optimization	NOUN
fcis-2965	45	13	problem	problem	NOUN
fcis-2965	45	14	,	,	PUNCT
fcis-2965	45	15	randomly	randomly	ADV
fcis-2965	45	16	generates	generate	VERB
fcis-2965	45	17	the	the	DET
fcis-2965	45	18	initial	initial	ADJ
fcis-2965	45	19	population	population	NOUN
fcis-2965	45	20	of	of	ADP
fcis-2965	45	21	𝑚	𝑚	NOUN
fcis-2965	45	22	particles	particle	NOUN
fcis-2965	45	23	,	,	PUNCT
fcis-2965	45	24	and	and	CCONJ
fcis-2965	45	25	substitutes	substitute	VERB
fcis-2965	45	26	the	the	DET
fcis-2965	45	27	flight	flight	NOUN
fcis-2965	45	28	speed	speed	NOUN
fcis-2965	45	29	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	45	30	and	and	CCONJ
fcis-2965	45	31	position	position	VERB
fcis-2965	45	32	𝑋𝑖	𝑋𝑖	PROPN
fcis-2965	45	33	of	of	ADP
fcis-2965	45	34	the	the	DET
fcis-2965	45	35	𝑖	𝑖	X
fcis-2965	45	36	th	th	X
fcis-2965	45	37	particle	particle	NOUN
fcis-2965	45	38	into	into	ADP
fcis-2965	45	39	the	the	DET
fcis-2965	45	40	optimization	optimization	NOUN
fcis-2965	45	41	objective	objective	ADJ
fcis-2965	45	42	function	function	NOUN
fcis-2965	45	43	to	to	PART
fcis-2965	45	44	obtain	obtain	VERB
fcis-2965	45	45	the	the	DET
fcis-2965	45	46	fitness	fitness	NOUN
fcis-2965	45	47	value	value	NOUN
fcis-2965	45	48	.	.	PUNCT
fcis-2965	46	1	after	after	ADP
fcis-2965	46	2	updating	update	VERB
fcis-2965	46	3	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	46	4	and	and	CCONJ
fcis-2965	46	5	location	location	VERB
fcis-2965	46	6	𝑋𝑖	𝑋𝑖	PROPN
fcis-2965	46	7	and	and	CCONJ
fcis-2965	46	8	iteration	iteration	NOUN
fcis-2965	46	9	,	,	PUNCT
fcis-2965	46	10	the	the	DET
fcis-2965	46	11	optimal	optimal	ADJ
fcis-2965	46	12	solution	solution	NOUN
fcis-2965	46	13	is	be	AUX
fcis-2965	46	14	found	find	VERB
fcis-2965	46	15	.	.	PUNCT
fcis-2965	47	1	the	the	DET
fcis-2965	47	2	optimal	optimal	ADJ
fcis-2965	47	3	solution	solution	NOUN
fcis-2965	47	4	obtained	obtain	VERB
fcis-2965	47	5	by	by	ADP
fcis-2965	47	6	the	the	DET
fcis-2965	47	7	𝑖	𝑖	X
fcis-2965	47	8	th	th	X
fcis-2965	47	9	particle	particle	NOUN
fcis-2965	47	10	search	search	NOUN
fcis-2965	47	11	is	be	AUX
fcis-2965	47	12	recorded	record	VERB
fcis-2965	47	13	as	as	ADP
fcis-2965	47	14	𝑝𝑖	𝑝𝑖	NOUN
fcis-2965	47	15	,	,	PUNCT
fcis-2965	47	16	and	and	CCONJ
fcis-2965	47	17	the	the	DET
fcis-2965	47	18	current	current	ADJ
fcis-2965	47	19	optimal	optimal	ADJ
fcis-2965	47	20	solution	solution	NOUN
fcis-2965	47	21	obtained	obtain	VERB
fcis-2965	47	22	by	by	ADP
fcis-2965	47	23	particle	particle	NOUN
fcis-2965	47	24	swarm	swarm	NOUN
fcis-2965	47	25	search	search	NOUN
fcis-2965	47	26	is	be	AUX
fcis-2965	47	27	recorded	record	VERB
fcis-2965	47	28	as	as	ADP
fcis-2965	47	29	𝑝𝑏	𝑝𝑏	ADJ
fcis-2965	47	30	,	,	PUNCT
fcis-2965	47	31	and	and	CCONJ
fcis-2965	47	32	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	47	33	and	and	CCONJ
fcis-2965	47	34	𝑋𝑖	𝑋𝑖	PROPN
fcis-2965	47	35	are	be	AUX
fcis-2965	47	36	updated	update	VERB
fcis-2965	47	37	by	by	ADP
fcis-2965	47	38	using	use	VERB
fcis-2965	47	39	eq	eq	ADP
fcis-2965	47	40	.	.	PUNCT
fcis-2965	48	1	(	(	PUNCT
fcis-2965	48	2	8)	8)	NUM
fcis-2965	48	3	and	and	CCONJ
fcis-2965	48	4	eq	eq	NOUN
fcis-2965	48	5	.	.	PUNCT
fcis-2965	49	1	(	(	PUNCT
fcis-2965	49	2	9	9	NUM
fcis-2965	49	3	)	)	PUNCT
fcis-2965	49	4	.	.	PUNCT
fcis-2965	50	1	𝑋𝑖𝑛(𝑘	𝑋𝑖𝑛(𝑘	NOUN
fcis-2965	50	2	+	+	CCONJ
fcis-2965	50	3	1	1	X
fcis-2965	50	4	)	)	PUNCT
fcis-2965	50	5	=	=	PUNCT
fcis-2965	50	6	𝑋𝑖𝑛(𝑘	𝑋𝑖𝑛(𝑘	PROPN
fcis-2965	50	7	)	)	PUNCT
fcis-2965	50	8	+	+	CCONJ
fcis-2965	50	9	𝑉𝑖𝑛(𝑘	𝑉𝑖𝑛(𝑘	VERB
fcis-2965	50	10	+	+	NOUN
fcis-2965	50	11	1	1	NUM
fcis-2965	50	12	)	)	PUNCT
fcis-2965	50	13	(	(	PUNCT
fcis-2965	50	14	8)	8)	NUM
fcis-2965	50	15	𝑉𝑖𝑛(𝑘	𝑉𝑖𝑛(𝑘	NOUN
fcis-2965	50	16	+	+	CCONJ
fcis-2965	50	17	1	1	NUM
fcis-2965	50	18	)	)	PUNCT
fcis-2965	50	19	=	=	SYM
fcis-2965	50	20	𝜔𝑉𝑖𝑛(𝑘	𝜔𝑉𝑖𝑛(𝑘	PROPN
fcis-2965	50	21	)	)	PUNCT
fcis-2965	50	22	+	+	CCONJ
fcis-2965	50	23	𝑐1𝑟1(𝑃𝑖𝑛	𝑐1𝑟1(𝑃𝑖𝑛	VERB
fcis-2965	50	24	−	−	NUM
fcis-2965	50	25	𝑋𝑖𝑛(𝑘	𝑋𝑖𝑛(𝑘	NOUN
fcis-2965	50	26	)	)	PUNCT
fcis-2965	50	27	)	)	PUNCT
fcis-2965	51	1	+	+	CCONJ
fcis-2965	51	2	𝑐2𝑟2(𝑃𝑏𝑛	𝑐2𝑟2(𝑃𝑏𝑛	PROPN
fcis-2965	51	3	−	−	PUNCT
fcis-2965	51	4	𝑋𝑖𝑛(𝑘	𝑋𝑖𝑛(𝑘	PROPN
fcis-2965	51	5	)	)	PUNCT
fcis-2965	51	6	)	)	PUNCT
fcis-2965	51	7	(	(	PUNCT
fcis-2965	51	8	9	9	X
fcis-2965	51	9	)	)	PUNCT
fcis-2965	51	10	in	in	ADP
fcis-2965	51	11	the	the	DET
fcis-2965	51	12	equation	equation	NOUN
fcis-2965	51	13	,	,	PUNCT
fcis-2965	51	14	𝑐1	𝑐1	NOUN
fcis-2965	51	15	and	and	CCONJ
fcis-2965	51	16	𝑐2	𝑐2	NOUN
fcis-2965	51	17	are	be	AUX
fcis-2965	51	18	shrinkage	shrinkage	NOUN
fcis-2965	51	19	factors	factor	NOUN
fcis-2965	51	20	,	,	PUNCT
fcis-2965	51	21	and	and	CCONJ
fcis-2965	51	22	𝜔	𝜔	NOUN
fcis-2965	51	23	is	be	AUX
fcis-2965	51	24	inertia	inertia	NOUN
fcis-2965	51	25	weight	weight	NOUN
fcis-2965	51	26	.	.	PUNCT
fcis-2965	52	1	3.3	3.3	NUM
fcis-2965	52	2	.	.	PUNCT
fcis-2965	53	1	genetic	genetic	ADJ
fcis-2965	53	2	chaos	chaos	NOUN
fcis-2965	53	3	particle	particle	NOUN
fcis-2965	53	4	swarm	swarm	NOUN
fcis-2965	53	5	algorithm	algorithm	NOUN
fcis-2965	53	6	this	this	DET
fcis-2965	53	7	paper	paper	NOUN
fcis-2965	53	8	presents	present	VERB
fcis-2965	53	9	a	a	DET
fcis-2965	53	10	genetic	genetic	ADJ
fcis-2965	53	11	chaos	chaos	NOUN
fcis-2965	53	12	particle	particle	NOUN
fcis-2965	53	13	swarm	swarm	NOUN
fcis-2965	53	14	algorithm	algorithm	NOUN
fcis-2965	53	15	called	call	VERB
fcis-2965	53	16	gcpso	gcpso	PROPN
fcis-2965	53	17	(	(	PUNCT
fcis-2965	53	18	genetic	genetic	ADJ
fcis-2965	53	19	chaos	chaos	NOUN
fcis-2965	53	20	particle	particle	NOUN
fcis-2965	53	21	swarm	swarm	NOUN
fcis-2965	53	22	optimization	optimization	NOUN
fcis-2965	53	23	)	)	PUNCT
fcis-2965	53	24	by	by	ADP
fcis-2965	53	25	introducing	introduce	VERB
fcis-2965	53	26	the	the	DET
fcis-2965	53	27	chaos	chaos	NOUN
fcis-2965	53	28	principle	principle	NOUN
fcis-2965	53	29	and	and	CCONJ
fcis-2965	53	30	the	the	DET
fcis-2965	53	31	dynamic	dynamic	ADJ
fcis-2965	53	32	weight	weight	NOUN
fcis-2965	53	33	adaptive	adaptive	ADJ
fcis-2965	53	34	regulation	regulation	NOUN
fcis-2965	53	35	method	method	NOUN
fcis-2965	53	36	.	.	PUNCT
fcis-2965	54	1	3.3.1	3.3.1	X
fcis-2965	54	2	.	.	PUNCT
fcis-2965	54	3	genetic	genetic	ADJ
fcis-2965	54	4	algorithm	algorithm	NOUN
fcis-2965	54	5	the	the	DET
fcis-2965	54	6	genetic	genetic	ADJ
fcis-2965	54	7	algorithm	algorithm	NOUN
fcis-2965	54	8	ga	ga	PROPN
fcis-2965	54	9	(	(	PUNCT
fcis-2965	54	10	genetic	genetic	ADJ
fcis-2965	54	11	algorithm	algorithm	NOUN
fcis-2965	54	12	)	)	PUNCT
fcis-2965	54	13	is	be	AUX
fcis-2965	54	14	a	a	DET
fcis-2965	54	15	development	development	NOUN
fcis-2965	54	16	law	law	NOUN
fcis-2965	54	17	that	that	PRON
fcis-2965	54	18	simulates	simulate	VERB
fcis-2965	54	19	the	the	DET
fcis-2965	54	20	continuous	continuous	ADJ
fcis-2965	54	21	evolution	evolution	NOUN
fcis-2965	54	22	of	of	ADP
fcis-2965	54	23	living	live	VERB
fcis-2965	54	24	organisms	organism	NOUN
fcis-2965	54	25	in	in	ADP
fcis-2965	54	26	nature	nature	NOUN
fcis-2965	54	27	[	[	X
fcis-2965	54	28	10	10	NUM
fcis-2965	54	29	]	]	PUNCT
fcis-2965	54	30	.	.	PUNCT
fcis-2965	55	1	in	in	ADP
fcis-2965	55	2	this	this	DET
fcis-2965	55	3	paper	paper	NOUN
fcis-2965	55	4	,	,	PUNCT
fcis-2965	55	5	a	a	DET
fcis-2965	55	6	new	new	ADJ
fcis-2965	55	7	generation	generation	NOUN
fcis-2965	55	8	of	of	ADP
fcis-2965	55	9	elites	elite	NOUN
fcis-2965	55	10	is	be	AUX
fcis-2965	55	11	formed	form	VERB
fcis-2965	55	12	by	by	ADP
fcis-2965	55	13	introducing	introduce	VERB
fcis-2965	55	14	the	the	DET
fcis-2965	55	15	crossover	crossover	NOUN
fcis-2965	55	16	and	and	CCONJ
fcis-2965	55	17	variation	variation	NOUN
fcis-2965	55	18	of	of	ADP
fcis-2965	55	19	ga	ga	PROPN
fcis-2965	55	20	algorithm	algorithm	NOUN
fcis-2965	55	21	in	in	ADP
fcis-2965	55	22	the	the	DET
fcis-2965	55	23	pso	pso	NOUN
fcis-2965	55	24	algorithm	algorithm	NOUN
fcis-2965	55	25	,	,	PUNCT
fcis-2965	55	26	and	and	CCONJ
fcis-2965	55	27	finally	finally	ADV
fcis-2965	55	28	the	the	DET
fcis-2965	55	29	optimal	optimal	ADJ
fcis-2965	55	30	solution	solution	NOUN
fcis-2965	55	31	of	of	ADP
fcis-2965	55	32	the	the	DET
fcis-2965	55	33	optimization	optimization	NOUN
fcis-2965	55	34	problem	problem	NOUN
fcis-2965	55	35	is	be	AUX
fcis-2965	55	36	obtained	obtain	VERB
fcis-2965	55	37	.	.	PUNCT
fcis-2965	56	1	(	(	PUNCT
fcis-2965	56	2	1	1	X
fcis-2965	56	3	)	)	PUNCT
fcis-2965	56	4	select	select	VERB
fcis-2965	56	5	the	the	DET
fcis-2965	56	6	crossover	crossover	NOUN
fcis-2965	56	7	select	select	ADJ
fcis-2965	56	8	𝑁	𝑁	PROPN
fcis-2965	56	9	even	even	ADV
fcis-2965	56	10	individuals	individual	NOUN
fcis-2965	56	11	,	,	PUNCT
fcis-2965	56	12	then	then	ADV
fcis-2965	56	13	pair	pair	VERB
fcis-2965	56	14	the	the	DET
fcis-2965	56	15	selected	select	VERB
fcis-2965	56	16	individuals	individual	NOUN
fcis-2965	56	17	in	in	ADP
fcis-2965	56	18	pairs	pair	NOUN
fcis-2965	56	19	,	,	PUNCT
fcis-2965	56	20	perform	perform	VERB
fcis-2965	56	21	cross	cross	NOUN
fcis-2965	56	22	operation	operation	NOUN
fcis-2965	56	23	,	,	PUNCT
fcis-2965	56	24	and	and	CCONJ
fcis-2965	56	25	generate	generate	VERB
fcis-2965	56	26	offspring	offspring	NOUN
fcis-2965	56	27	particles	particle	NOUN
fcis-2965	56	28	.	.	PUNCT
fcis-2965	57	1	suppose	suppose	VERB
fcis-2965	57	2	that	that	SCONJ
fcis-2965	57	3	particle	particle	NOUN
fcis-2965	57	4	𝑎	𝑎	NOUN
fcis-2965	57	5	and	and	CCONJ
fcis-2965	57	6	particle	particle	NOUN
fcis-2965	57	7	𝑏	𝑏	PROPN
fcis-2965	57	8	are	be	AUX
fcis-2965	57	9	selected	select	VERB
fcis-2965	57	10	for	for	ADP
fcis-2965	57	11	cross	cross	NOUN
fcis-2965	57	12	operation	operation	NOUN
fcis-2965	57	13	,	,	PUNCT
fcis-2965	57	14	and	and	CCONJ
fcis-2965	57	15	the	the	DET
fcis-2965	57	16	corresponding	correspond	VERB
fcis-2965	57	17	positions	position	NOUN
fcis-2965	57	18	𝑋𝑎(𝑡	𝑋𝑎(𝑡	NOUN
fcis-2965	57	19	)	)	PUNCT
fcis-2965	57	20	and	and	CCONJ
fcis-2965	57	21	𝑋𝑏(𝑡	𝑋𝑏(𝑡	NOUN
fcis-2965	57	22	)	)	PUNCT
fcis-2965	57	23	are	be	AUX
fcis-2965	57	24	replaced	replace	VERB
fcis-2965	57	25	by	by	ADP
fcis-2965	57	26	the	the	DET
fcis-2965	57	27	following	follow	VERB
fcis-2965	57	28	descendants	descendant	NOUN
fcis-2965	57	29	:	:	PUNCT
fcis-2965	57	30	𝑋1	𝑋1	PROPN
fcis-2965	57	31	𝑘	𝑘	ADP
fcis-2965	57	32	=	=	SYM
fcis-2965	57	33	𝑟𝑋1	𝑟𝑋1	NOUN
fcis-2965	57	34	𝑘	𝑘	X
fcis-2965	57	35	+	+	CCONJ
fcis-2965	57	36	(	(	PUNCT
fcis-2965	57	37	1	1	NUM
fcis-2965	57	38	−	−	NOUN
fcis-2965	57	39	𝑟)𝑋2	𝑟)𝑋2	NOUN
fcis-2965	57	40	𝑘	𝑘	PROPN
fcis-2965	57	41	(	(	PUNCT
fcis-2965	57	42	10	10	NUM
fcis-2965	57	43	)	)	PUNCT
fcis-2965	57	44	𝑋2	𝑋2	VERB
fcis-2965	57	45	𝑘	𝑘	PRON
fcis-2965	57	46	=	=	PUNCT
fcis-2965	57	47	𝑟𝑋2	𝑟𝑋2	PROPN
fcis-2965	57	48	𝑘	𝑘	X
fcis-2965	57	49	+	+	CCONJ
fcis-2965	57	50	(	(	PUNCT
fcis-2965	57	51	1	1	NUM
fcis-2965	57	52	−	−	NOUN
fcis-2965	57	53	𝑟)𝑋2	𝑟)𝑋2	ADJ
fcis-2965	57	54	𝑘	𝑘	PROPN
fcis-2965	57	55	(	(	PUNCT
fcis-2965	57	56	11	11	NUM
fcis-2965	57	57	)	)	PUNCT
fcis-2965	57	58	corresponding	correspond	VERB
fcis-2965	57	59	speed	speed	NOUN
fcis-2965	57	60	:	:	PUNCT
fcis-2965	57	61	𝑉1	𝑉1	NOUN
fcis-2965	57	62	𝑘	𝑘	X
fcis-2965	57	63	=	=	PUNCT
fcis-2965	57	64	𝑟𝑉1	𝑟𝑉1	NOUN
fcis-2965	57	65	𝑘	𝑘	X
fcis-2965	57	66	+	+	CCONJ
fcis-2965	57	67	(	(	PUNCT
fcis-2965	57	68	1	1	NUM
fcis-2965	57	69	−	−	NOUN
fcis-2965	57	70	𝑟)𝑉2	𝑟)𝑉2	X
fcis-2965	57	71	𝑘	𝑘	X
fcis-2965	57	72	(	(	PUNCT
fcis-2965	57	73	12	12	NUM
fcis-2965	57	74	)	)	PUNCT
fcis-2965	57	75	𝑉2	𝑉2	NOUN
fcis-2965	57	76	𝑘	𝑘	X
fcis-2965	57	77	=	=	PUNCT
fcis-2965	57	78	𝑟𝑉2	𝑟𝑉2	NOUN
fcis-2965	57	79	𝑘	𝑘	NOUN
fcis-2965	57	80	+	+	CCONJ
fcis-2965	57	81	(	(	PUNCT
fcis-2965	57	82	1	1	NUM
fcis-2965	57	83	−	−	NOUN
fcis-2965	57	84	𝑟)𝑉1	𝑟)𝑉1	NOUN
fcis-2965	57	85	𝑘	𝑘	X
fcis-2965	57	86	(	(	PUNCT
fcis-2965	57	87	13	13	NUM
fcis-2965	57	88	)	)	SYM
fcis-2965	57	89	2	2	NUM
fcis-2965	57	90	)	)	PUNCT
fcis-2965	57	91	variant	variant	ADJ
fcis-2965	57	92	operation	operation	NOUN
fcis-2965	57	93	after	after	ADP
fcis-2965	57	94	crossing	cross	VERB
fcis-2965	57	95	particles	particle	NOUN
fcis-2965	57	96	with	with	ADP
fcis-2965	57	97	probability	probability	NOUN
fcis-2965	57	98	𝑃	𝑃	NOUN
fcis-2965	57	99	,	,	PUNCT
fcis-2965	57	100	perform	perform	VERB
fcis-2965	57	101	the	the	DET
fcis-2965	57	102	following	follow	VERB
fcis-2965	57	103	mutation	mutation	NOUN
fcis-2965	57	104	operations	operation	NOUN
fcis-2965	57	105	:	:	PUNCT
fcis-2965	58	1	𝑥𝑖	𝑥𝑖	ADP
fcis-2965	58	2	𝑘+1	𝑘+1	NUM
fcis-2965	58	3	=	=	PUNCT
fcis-2965	58	4	{	{	PUNCT
fcis-2965	58	5	𝑥𝑖	𝑥𝑖	X
fcis-2965	58	6	𝑘	𝑘	X
fcis-2965	59	1	+	+	CCONJ
fcis-2965	59	2	𝑐𝑖	𝑐𝑖	NOUN
fcis-2965	59	3	𝑖𝑓	𝑖𝑓	ADV
fcis-2965	59	4	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑥𝑖	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑥𝑖	VERB
fcis-2965	59	5	𝑘	𝑘	X
fcis-2965	59	6	+	+	CCONJ
fcis-2965	59	7	𝑐𝑖	𝑐𝑖	NOUN
fcis-2965	59	8	)	)	PUNCT
fcis-2965	59	9	>	>	PUNCT
fcis-2965	60	1	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑥𝑖	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑥𝑖	PROPN
fcis-2965	60	2	𝑘	𝑘	PROPN
fcis-2965	60	3	)	)	PUNCT
fcis-2965	60	4	𝑥𝑖	𝑥𝑖	ADP
fcis-2965	60	5	𝑘	𝑘	DET
fcis-2965	60	6	𝑜𝑡ℎ𝑒𝑟𝑠	𝑜𝑡ℎ𝑒𝑟𝑠	PROPN
fcis-2965	60	7	14	14	NUM
fcis-2965	60	8	)	)	PUNCT
fcis-2965	61	1	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	61	2	𝑘+1	𝑘+1	NOUN
fcis-2965	62	1	=	=	PUNCT
fcis-2965	63	1	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	63	2	𝑘	𝑘	PROPN
fcis-2965	63	3	(	(	PUNCT
fcis-2965	63	4	15	15	NUM
fcis-2965	63	5	)	)	PUNCT
fcis-2965	63	6	in	in	ADP
fcis-2965	63	7	the	the	DET
fcis-2965	63	8	equation	equation	NOUN
fcis-2965	63	9	,	,	PUNCT
fcis-2965	63	10	𝑐𝑖	𝑐𝑖	NOUN
fcis-2965	63	11	is	be	AUX
fcis-2965	63	12	the	the	DET
fcis-2965	63	13	interval	interval	NOUN
fcis-2965	63	14	[	[	X
fcis-2965	63	15	𝑥𝐿	𝑥𝐿	X
fcis-2965	63	16	−	−	ADP
fcis-2965	63	17	𝑥𝑖	𝑥𝑖	NUM
fcis-2965	63	18	𝑘	𝑘	NOUN
fcis-2965	63	19	,	,	PUNCT
fcis-2965	63	20	𝑥𝑈	𝑥𝑈	PUNCT
fcis-2965	64	1	−	−	PROPN
fcis-2965	64	2	𝑥𝑖	𝑥𝑖	NUM
fcis-2965	65	1	𝑘	𝑘	X
fcis-2965	65	2	]	]	PUNCT
fcis-2965	65	3	uniformly	uniformly	ADV
fcis-2965	65	4	distributed	distribute	VERB
fcis-2965	65	5	random	random	ADJ
fcis-2965	65	6	number	number	NOUN
fcis-2965	65	7	,	,	PUNCT
fcis-2965	65	8	𝑥𝐿	𝑥𝐿	ADJ
fcis-2965	65	9	and	and	CCONJ
fcis-2965	65	10	𝑥𝑈	𝑥𝑈	NOUN
fcis-2965	65	11	are	be	AUX
fcis-2965	65	12	the	the	DET
fcis-2965	65	13	upper	upper	ADJ
fcis-2965	65	14	and	and	CCONJ
fcis-2965	65	15	lower	low	ADJ
fcis-2965	65	16	limits	limit	NOUN
fcis-2965	65	17	of	of	ADP
fcis-2965	65	18	search	search	NOUN
fcis-2965	65	19	respectively	respectively	ADV
fcis-2965	65	20	.	.	PUNCT
fcis-2965	66	1	3.3.2	3.3.2	X
fcis-2965	66	2	.	.	PUNCT
fcis-2965	66	3	adaptive	adaptive	ADJ
fcis-2965	66	4	parameter	parameter	NOUN
fcis-2965	66	5	adjustment	adjustment	NOUN
fcis-2965	66	6	chaos	chaos	NOUN
fcis-2965	66	7	is	be	AUX
fcis-2965	66	8	a	a	DET
fcis-2965	66	9	nonlinear	nonlinear	ADJ
fcis-2965	66	10	motion	motion	NOUN
fcis-2965	66	11	which	which	PRON
fcis-2965	66	12	is	be	AUX
fcis-2965	66	13	very	very	ADV
fcis-2965	66	14	sensitive	sensitive	ADJ
fcis-2965	66	15	to	to	ADP
fcis-2965	66	16	initial	initial	ADJ
fcis-2965	66	17	conditions	condition	NOUN
fcis-2965	66	18	and	and	CCONJ
fcis-2965	66	19	can	can	AUX
fcis-2965	66	20	traverse	traverse	VERB
fcis-2965	66	21	all	all	DET
fcis-2965	66	22	states	state	NOUN
fcis-2965	66	23	.	.	PUNCT
fcis-2965	67	1	in	in	ADP
fcis-2965	67	2	this	this	DET
fcis-2965	67	3	paper	paper	NOUN
fcis-2965	67	4	,	,	PUNCT
fcis-2965	67	5	the	the	DET
fcis-2965	67	6	chaos	chaos	NOUN
fcis-2965	67	7	principle	principle	NOUN
fcis-2965	67	8	is	be	AUX
fcis-2965	67	9	used	use	VERB
fcis-2965	67	10	to	to	PART
fcis-2965	67	11	optimize	optimize	VERB
fcis-2965	67	12	the	the	DET
fcis-2965	67	13	velocity	velocity	NOUN
fcis-2965	67	14	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	67	15	and	and	CCONJ
fcis-2965	67	16	position	position	VERB
fcis-2965	67	17	𝑋𝑖	𝑋𝑖	PROPN
fcis-2965	67	18	of	of	ADP
fcis-2965	67	19	particles	particle	NOUN
fcis-2965	67	20	by	by	ADP
fcis-2965	67	21	adaptively	adaptively	ADV
fcis-2965	67	22	adjusting	adjust	VERB
fcis-2965	67	23	the	the	DET
fcis-2965	67	24	parameters	parameter	NOUN
fcis-2965	67	25	of	of	ADP
fcis-2965	67	26	particle	particle	NOUN
fcis-2965	67	27	swarm	swarm	NOUN
fcis-2965	67	28	optimization	optimization	NOUN
fcis-2965	67	29	algorithm	algorithm	NOUN
fcis-2965	67	30	.	.	PUNCT
fcis-2965	68	1	create	create	VERB
fcis-2965	68	2	a	a	DET
fcis-2965	68	3	chaotic	chaotic	ADJ
fcis-2965	68	4	sequence	sequence	NOUN
fcis-2965	68	5	as	as	SCONJ
fcis-2965	68	6	follows	follow	VERB
fcis-2965	68	7	:	:	PUNCT
fcis-2965	68	8	𝛽𝑘+1	𝛽𝑘+1	X
fcis-2965	68	9	=	=	SYM
fcis-2965	68	10	𝜆𝛽𝑘(1	𝜆𝛽𝑘(1	PUNCT
fcis-2965	69	1	−	−	X
fcis-2965	69	2	𝛽𝑘	𝛽𝑘	NOUN
fcis-2965	69	3	)	)	PUNCT
fcis-2965	69	4	(	(	PUNCT
fcis-2965	69	5	16	16	NUM
fcis-2965	69	6	)	)	PUNCT
fcis-2965	69	7	when	when	SCONJ
fcis-2965	69	8	𝜆	𝜆	ADP
fcis-2965	69	9	=	=	SYM
fcis-2965	69	10	4	4	NUM
fcis-2965	69	11	,	,	PUNCT
fcis-2965	69	12	the	the	DET
fcis-2965	69	13	system	system	NOUN
fcis-2965	69	14	will	will	AUX
fcis-2965	69	15	enter	enter	VERB
fcis-2965	69	16	into	into	ADP
fcis-2965	69	17	a	a	DET
fcis-2965	69	18	chaotic	chaotic	ADJ
fcis-2965	69	19	state	state	NOUN
fcis-2965	69	20	,	,	PUNCT
fcis-2965	69	21	and	and	CCONJ
fcis-2965	69	22	the	the	DET
fcis-2965	69	23	chaotic	chaotic	ADJ
fcis-2965	69	24	variable	variable	NOUN
fcis-2965	69	25	𝛽𝑡(𝑡	𝛽𝑡(𝑡	NUM
fcis-2965	69	26	=	=	SYM
fcis-2965	69	27	1,2	1,2	NUM
fcis-2965	69	28	,	,	PUNCT
fcis-2965	69	29	⋯	⋯	PROPN
fcis-2965	69	30	)	)	PUNCT
fcis-2965	69	31	will	will	AUX
fcis-2965	69	32	traverse	traverse	VERB
fcis-2965	69	33	all	all	DET
fcis-2965	69	34	the	the	DET
fcis-2965	69	35	states	state	NOUN
fcis-2965	69	36	in	in	ADP
fcis-2965	69	37	the	the	DET
fcis-2965	69	38	system	system	NOUN
fcis-2965	69	39	without	without	ADP
fcis-2965	69	40	repetition	repetition	NOUN
fcis-2965	69	41	.	.	PUNCT
fcis-2965	70	1	after	after	ADP
fcis-2965	70	2	that	that	PRON
fcis-2965	70	3	,	,	PUNCT
fcis-2965	70	4	𝑟1	𝑟1	NOUN
fcis-2965	70	5	and	and	CCONJ
fcis-2965	70	6	44	44	NUM
fcis-2965	70	7	𝑟2	𝑟2	NOUN
fcis-2965	70	8	are	be	AUX
fcis-2965	70	9	dynamically	dynamically	ADV
fcis-2965	70	10	adjusted	adjust	VERB
fcis-2965	70	11	to	to	PART
fcis-2965	70	12	generate	generate	VERB
fcis-2965	70	13	an	an	DET
fcis-2965	70	14	excellent	excellent	ADJ
fcis-2965	70	15	population	population	NOUN
fcis-2965	70	16	,	,	PUNCT
fcis-2965	70	17	and	and	CCONJ
fcis-2965	70	18	then	then	ADV
fcis-2965	70	19	lead	lead	VERB
fcis-2965	70	20	the	the	DET
fcis-2965	70	21	particles	particle	NOUN
fcis-2965	70	22	to	to	ADP
fcis-2965	70	23	the	the	DET
fcis-2965	70	24	optimal	optimal	ADJ
fcis-2965	70	25	solution	solution	NOUN
fcis-2965	70	26	through	through	ADP
fcis-2965	70	27	equations	equation	NOUN
fcis-2965	70	28	(	(	PUNCT
fcis-2965	70	29	8)	8)	NUM
fcis-2965	70	30	and	and	CCONJ
fcis-2965	70	31	(	(	PUNCT
fcis-2965	70	32	9	9	NUM
fcis-2965	70	33	)	)	PUNCT
fcis-2965	70	34	.	.	PUNCT
fcis-2965	71	1	chaotic	chaotic	ADJ
fcis-2965	71	2	optimization	optimization	NOUN
fcis-2965	71	3	is	be	AUX
fcis-2965	71	4	as	as	SCONJ
fcis-2965	71	5	follows	follow	VERB
fcis-2965	71	6	:	:	PUNCT
fcis-2965	71	7	{	{	PUNCT
fcis-2965	72	1	𝑟𝑖	𝑟𝑖	ADV
fcis-2965	72	2	𝑘+1	𝑘+1	X
fcis-2965	72	3	=	=	SYM
fcis-2965	72	4	4.0	4.0	NUM
fcis-2965	72	5	×	×	NOUN
fcis-2965	72	6	𝑟𝑖	𝑟𝑖	ADV
fcis-2965	72	7	𝑘(1	𝑘(1	ADV
fcis-2965	72	8	−	−	PROPN
fcis-2965	72	9	𝑟𝑖	𝑟𝑖	NOUN
fcis-2965	72	10	)	)	PUNCT
fcis-2965	72	11	𝑟𝑖	𝑟𝑖	ADP
fcis-2965	72	12	𝑘	𝑘	PRON
fcis-2965	72	13	∈	∈	PROPN
fcis-2965	72	14	(	(	PUNCT
fcis-2965	72	15	0,1	0,1	NUM
fcis-2965	72	16	)	)	PUNCT
fcis-2965	72	17	,	,	PUNCT
fcis-2965	72	18	𝑖	𝑖	SYM
fcis-2965	72	19	=	=	SYM
fcis-2965	72	20	1,2	1,2	NUM
fcis-2965	72	21	(	(	PUNCT
fcis-2965	72	22	17	17	NUM
fcis-2965	72	23	)	)	PUNCT
fcis-2965	72	24	inertial	inertial	NOUN
fcis-2965	72	25	weights	weight	NOUN
fcis-2965	72	26	𝜔	𝜔	PART
fcis-2965	72	27	play	play	VERB
fcis-2965	72	28	a	a	DET
fcis-2965	72	29	role	role	NOUN
fcis-2965	72	30	in	in	ADP
fcis-2965	72	31	maintaining	maintain	VERB
fcis-2965	72	32	algorithmic	algorithmic	ADJ
fcis-2965	72	33	balance	balance	NOUN
fcis-2965	72	34	in	in	ADP
fcis-2965	72	35	optimization	optimization	NOUN
fcis-2965	72	36	.	.	PUNCT
fcis-2965	73	1	this	this	DET
fcis-2965	73	2	paper	paper	NOUN
fcis-2965	73	3	chooses	choose	VERB
fcis-2965	73	4	the	the	DET
fcis-2965	73	5	dynamic	dynamic	ADJ
fcis-2965	73	6	weight	weight	NOUN
fcis-2965	73	7	adjustment	adjustment	NOUN
fcis-2965	73	8	method	method	NOUN
fcis-2965	73	9	,	,	PUNCT
fcis-2965	73	10	and	and	CCONJ
fcis-2965	73	11	the	the	DET
fcis-2965	73	12	weight	weight	NOUN
fcis-2965	73	13	update	update	NOUN
fcis-2965	73	14	eq	eq	ADJ
fcis-2965	73	15	.	.	PROPN
fcis-2965	73	16	is	be	AUX
fcis-2965	73	17	:	:	PUNCT
fcis-2965	73	18	𝜔(𝑘	𝜔(𝑘	X
fcis-2965	73	19	)	)	PUNCT
fcis-2965	74	1	=	=	PUNCT
fcis-2965	74	2	𝜔𝑚𝑎𝑥	𝜔𝑚𝑎𝑥	NOUN
fcis-2965	74	3	−	−	PROPN
fcis-2965	75	1	(	(	PUNCT
fcis-2965	75	2	𝜔𝑚𝑎𝑥	𝜔𝑚𝑎𝑥	NOUN
fcis-2965	75	3	−𝜔𝑚𝑖𝑛	−𝜔𝑚𝑖𝑛	NOUN
fcis-2965	75	4	)	)	PUNCT
fcis-2965	75	5	×𝑘	×𝑘	NOUN
fcis-2965	75	6	𝑘𝑚𝑎𝑥	𝑘𝑚𝑎𝑥	NOUN
fcis-2965	75	7	(	(	PUNCT
fcis-2965	75	8	18	18	NUM
fcis-2965	75	9	)	)	PUNCT
fcis-2965	75	10	in	in	ADP
fcis-2965	75	11	the	the	DET
fcis-2965	75	12	equation	equation	NOUN
fcis-2965	75	13	,	,	PUNCT
fcis-2965	75	14	𝜔𝑚𝑎𝑥	𝜔𝑚𝑎𝑥	NOUN
fcis-2965	75	15	and	and	CCONJ
fcis-2965	75	16	𝜔𝑚𝑖𝑛	𝜔𝑚𝑖𝑛	NOUN
fcis-2965	75	17	are	be	AUX
fcis-2965	75	18	the	the	DET
fcis-2965	75	19	upper	upper	ADJ
fcis-2965	75	20	and	and	CCONJ
fcis-2965	75	21	lower	low	ADJ
fcis-2965	75	22	limits	limit	NOUN
fcis-2965	75	23	of	of	ADP
fcis-2965	75	24	inertia	inertia	NOUN
fcis-2965	75	25	weight	weight	NOUN
fcis-2965	75	26	;	;	PUNCT
fcis-2965	75	27	𝑘	𝑘	PRON
fcis-2965	75	28	is	be	AUX
fcis-2965	75	29	the	the	DET
fcis-2965	75	30	current	current	ADJ
fcis-2965	75	31	iteration	iteration	NOUN
fcis-2965	75	32	number	number	NOUN
fcis-2965	75	33	;	;	PUNCT
fcis-2965	75	34	𝑘𝑚𝑎𝑥	𝑘𝑚𝑎𝑥	NOUN
fcis-2965	75	35	is	be	AUX
fcis-2965	75	36	the	the	DET
fcis-2965	75	37	maximum	maximum	ADJ
fcis-2965	75	38	number	number	NOUN
fcis-2965	75	39	of	of	ADP
fcis-2965	75	40	iterations	iteration	NOUN
fcis-2965	75	41	.	.	PUNCT
fcis-2965	76	1	3.4	3.4	NUM
fcis-2965	76	2	.	.	PUNCT
fcis-2965	77	1	dv	dv	PROPN
fcis-2965	77	2	-	-	PUNCT
fcis-2965	77	3	hop	hop	PROPN
fcis-2965	77	4	improvement	improvement	NOUN
fcis-2965	77	5	based	base	VERB
fcis-2965	77	6	on	on	ADP
fcis-2965	77	7	genetic	genetic	ADJ
fcis-2965	77	8	chaos	chaos	NOUN
fcis-2965	77	9	particles	particle	VERB
fcis-2965	77	10	dv	dv	PROPN
fcis-2965	77	11	-	-	ADJ
fcis-2965	77	12	hop	hop	PROPN
fcis-2965	77	13	algorithm	algorithm	NOUN
fcis-2965	77	14	(	(	PUNCT
fcis-2965	77	15	gcpso	gcpso	NOUN
fcis-2965	77	16	-	-	PUNCT
fcis-2965	77	17	hop	hop	NOUN
fcis-2965	77	18	)	)	PUNCT
fcis-2965	77	19	and	and	CCONJ
fcis-2965	77	20	dv	dv	PROPN
fcis-2965	77	21	-	-	ADJ
fcis-2965	77	22	hop	hop	PROPN
fcis-2965	77	23	algorithm	algorithm	NOUN
fcis-2965	77	24	based	base	VERB
fcis-2965	77	25	on	on	ADP
fcis-2965	77	26	genetic	genetic	ADJ
fcis-2965	77	27	chaos	chaos	NOUN
fcis-2965	77	28	particle	particle	NOUN
fcis-2965	77	29	swarm	swarm	NOUN
fcis-2965	77	30	algorithm	algorithm	NOUN
fcis-2965	77	31	have	have	VERB
fcis-2965	77	32	the	the	DET
fcis-2965	77	33	same	same	ADJ
fcis-2965	77	34	communication	communication	NOUN
fcis-2965	77	35	energy	energy	NOUN
fcis-2965	77	36	consumption	consumption	NOUN
fcis-2965	77	37	,	,	PUNCT
fcis-2965	77	38	but	but	CCONJ
fcis-2965	77	39	gcpso	gcpso	ADJ
fcis-2965	77	40	-	-	PUNCT
fcis-2965	77	41	hop	hop	NOUN
fcis-2965	77	42	algorithm	algorithm	NOUN
fcis-2965	77	43	has	have	VERB
fcis-2965	77	44	slightly	slightly	ADV
fcis-2965	77	45	more	more	ADJ
fcis-2965	77	46	computing	compute	VERB
fcis-2965	77	47	energy	energy	NOUN
fcis-2965	77	48	consumption	consumption	NOUN
fcis-2965	77	49	than	than	ADP
fcis-2965	77	50	dv	dv	PROPN
fcis-2965	77	51	-	-	PUNCT
fcis-2965	77	52	hop	hop	PROPN
fcis-2965	77	53	algorithm	algorithm	NOUN
fcis-2965	77	54	.	.	PUNCT
fcis-2965	78	1	since	since	SCONJ
fcis-2965	78	2	the	the	DET
fcis-2965	78	3	energy	energy	NOUN
fcis-2965	78	4	consumption	consumption	NOUN
fcis-2965	78	5	of	of	ADP
fcis-2965	78	6	the	the	DET
fcis-2965	78	7	wireless	wireless	ADJ
fcis-2965	78	8	sensor	sensor	NOUN
fcis-2965	78	9	network	network	NOUN
fcis-2965	78	10	is	be	AUX
fcis-2965	78	11	mainly	mainly	ADV
fcis-2965	78	12	generated	generate	VERB
fcis-2965	78	13	by	by	ADP
fcis-2965	78	14	the	the	DET
fcis-2965	78	15	communication	communication	NOUN
fcis-2965	78	16	energy	energy	NOUN
fcis-2965	78	17	consumption	consumption	NOUN
fcis-2965	78	18	,	,	PUNCT
fcis-2965	78	19	so	so	CCONJ
fcis-2965	78	20	the	the	DET
fcis-2965	78	21	energy	energy	NOUN
fcis-2965	78	22	consumption	consumption	NOUN
fcis-2965	78	23	of	of	ADP
fcis-2965	78	24	the	the	DET
fcis-2965	78	25	gcpso	gcpso	NOUN
fcis-2965	78	26	-	-	PUNCT
fcis-2965	78	27	hop	hop	NOUN
fcis-2965	78	28	positioning	positioning	NOUN
fcis-2965	78	29	algorithm	algorithm	NOUN
fcis-2965	78	30	meets	meet	VERB
fcis-2965	78	31	the	the	DET
fcis-2965	78	32	application	application	NOUN
fcis-2965	78	33	conditions	condition	NOUN
fcis-2965	78	34	.	.	PUNCT
fcis-2965	79	1	this	this	DET
fcis-2965	79	2	paper	paper	NOUN
fcis-2965	79	3	targets	target	VERB
fcis-2965	79	4	𝑓𝑖	𝑓𝑖	PROPN
fcis-2965	79	5	as	as	ADP
fcis-2965	79	6	the	the	DET
fcis-2965	79	7	minimum	minimum	ADJ
fcis-2965	79	8	localization	localization	NOUN
fcis-2965	79	9	error	error	NOUN
fcis-2965	79	10	:	:	PUNCT
fcis-2965	79	11	𝑓𝑖	𝑓𝑖	PROPN
fcis-2965	79	12	=	=	SYM
fcis-2965	79	13	∑	∑	PROPN
fcis-2965	79	14	𝑑𝑘	𝑑𝑘	ADV
fcis-2965	79	15	−	−	PROPN
fcis-2965	79	16	√(𝑥	√(𝑥	NOUN
fcis-2965	79	17	−	−	PROPN
fcis-2965	79	18	𝑥𝑖	𝑥𝑖	NUM
fcis-2965	79	19	)	)	PUNCT
fcis-2965	79	20	2	2	NUM
fcis-2965	80	1	+	+	CCONJ
fcis-2965	80	2	(	(	PUNCT
fcis-2965	80	3	𝑦	𝑦	NOUN
fcis-2965	80	4	−	−	NOUN
fcis-2965	80	5	𝑦𝑖)2𝑛	𝑦𝑖)2𝑛	NOUN
fcis-2965	80	6	𝑖=1	𝑖=1	PROPN
fcis-2965	80	7	(	(	PUNCT
fcis-2965	80	8	19	19	NUM
fcis-2965	80	9	)	)	PUNCT
fcis-2965	80	10	in	in	ADP
fcis-2965	80	11	the	the	DET
fcis-2965	80	12	equation	equation	NOUN
fcis-2965	80	13	,	,	PUNCT
fcis-2965	80	14	(	(	PUNCT
fcis-2965	80	15	𝑥	𝑥	NOUN
fcis-2965	80	16	,	,	PUNCT
fcis-2965	80	17	𝑦	𝑦	X
fcis-2965	80	18	)	)	PUNCT
fcis-2965	80	19	is	be	AUX
fcis-2965	80	20	the	the	DET
fcis-2965	80	21	coordinate	coordinate	NOUN
fcis-2965	80	22	of	of	ADP
fcis-2965	80	23	the	the	DET
fcis-2965	80	24	unknown	unknown	ADJ
fcis-2965	80	25	node	node	NOUN
fcis-2965	80	26	,	,	PUNCT
fcis-2965	80	27	(	(	PUNCT
fcis-2965	80	28	𝑥𝑖	𝑥𝑖	PROPN
fcis-2965	80	29	,	,	PUNCT
fcis-2965	80	30	𝑦𝑖	𝑦𝑖	PROPN
fcis-2965	80	31	)	)	PUNCT
fcis-2965	80	32	is	be	AUX
fcis-2965	80	33	the	the	DET
fcis-2965	80	34	coordinate	coordinate	NOUN
fcis-2965	80	35	of	of	ADP
fcis-2965	80	36	the	the	DET
fcis-2965	80	37	anchor	anchor	NOUN
fcis-2965	80	38	node	node	NOUN
fcis-2965	80	39	,	,	PUNCT
fcis-2965	80	40	and	and	CCONJ
fcis-2965	80	41	𝑑𝑘	𝑑𝑘	ADV
fcis-2965	80	42	is	be	AUX
fcis-2965	80	43	the	the	DET
fcis-2965	80	44	actual	actual	ADJ
fcis-2965	80	45	measured	measure	VERB
fcis-2965	80	46	distance	distance	NOUN
fcis-2965	80	47	.	.	PUNCT
fcis-2965	81	1	the	the	DET
fcis-2965	81	2	fitness	fitness	NOUN
fcis-2965	81	3	function	function	NOUN
fcis-2965	81	4	is	be	AUX
fcis-2965	81	5	:	:	PUNCT
fcis-2965	81	6	the	the	DET
fcis-2965	81	7	fitness	fitness	NOUN
fcis-2965	81	8	function	function	NOUN
fcis-2965	81	9	is	be	AUX
fcis-2965	81	10	:	:	PUNCT
fcis-2965	81	11	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑥	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑥	NUM
fcis-2965	81	12	)	)	PUNCT
fcis-2965	82	1	=	=	SYM
fcis-2965	82	2	∑	∑	PUNCT
fcis-2965	82	3	𝛼𝑖𝑓𝑖(𝑥	𝛼𝑖𝑓𝑖(𝑥	NUM
fcis-2965	82	4	,	,	PUNCT
fcis-2965	82	5	𝑦)𝑛	𝑦)𝑛	PUNCT
fcis-2965	82	6	𝑖=1	𝑖=1	PROPN
fcis-2965	82	7	(	(	PUNCT
fcis-2965	82	8	20	20	NUM
fcis-2965	82	9	)	)	PUNCT
fcis-2965	82	10	in	in	ADP
fcis-2965	82	11	the	the	DET
fcis-2965	82	12	equation	equation	NOUN
fcis-2965	82	13	,	,	PUNCT
fcis-2965	82	14	𝛼𝑖a	𝛼𝑖a	NOUN
fcis-2965	82	15	is	be	AUX
fcis-2965	82	16	the	the	DET
fcis-2965	82	17	inverse	inverse	ADJ
fcis-2965	82	18	ratio	ratio	NOUN
fcis-2965	82	19	of	of	ADP
fcis-2965	82	20	the	the	DET
fcis-2965	82	21	number	number	NOUN
fcis-2965	82	22	of	of	ADP
fcis-2965	82	23	hops	hop	NOUN
fcis-2965	82	24	of	of	ADP
fcis-2965	82	25	unknown	unknown	ADJ
fcis-2965	82	26	node	node	NOUN
fcis-2965	82	27	and	and	CCONJ
fcis-2965	82	28	anchor	anchor	VERB
fcis-2965	82	29	node	node	PROPN
fcis-2965	82	30	𝑖	𝑖	SYM
fcis-2965	82	31	;	;	PUNCT
fcis-2965	82	32	𝑛	𝑛	PRON
fcis-2965	82	33	is	be	AUX
fcis-2965	82	34	the	the	DET
fcis-2965	82	35	number	number	NOUN
fcis-2965	82	36	of	of	ADP
fcis-2965	82	37	unknown	unknown	ADJ
fcis-2965	82	38	nodes	node	NOUN
fcis-2965	82	39	.	.	PUNCT
fcis-2965	83	1	in	in	ADP
fcis-2965	83	2	this	this	DET
fcis-2965	83	3	paper	paper	NOUN
fcis-2965	83	4	,	,	PUNCT
fcis-2965	83	5	we	we	PRON
fcis-2965	83	6	use	use	VERB
fcis-2965	83	7	the	the	DET
fcis-2965	83	8	gcpso	gcpso	ADJ
fcis-2965	83	9	algorithm	algorithm	NOUN
fcis-2965	83	10	to	to	PART
fcis-2965	83	11	correct	correct	VERB
fcis-2965	83	12	the	the	DET
fcis-2965	83	13	coordinates	coordinate	NOUN
fcis-2965	83	14	of	of	ADP
fcis-2965	83	15	unknown	unknown	ADJ
fcis-2965	83	16	nodes	node	NOUN
fcis-2965	83	17	found	find	VERB
fcis-2965	83	18	in	in	ADP
fcis-2965	83	19	the	the	DET
fcis-2965	83	20	later	later	ADJ
fcis-2965	83	21	part	part	NOUN
fcis-2965	83	22	of	of	ADP
fcis-2965	83	23	the	the	DET
fcis-2965	83	24	dv	dv	PROPN
fcis-2965	83	25	-	-	PUNCT
fcis-2965	83	26	hop	hop	PROPN
fcis-2965	83	27	algorithm	algorithm	NOUN
fcis-2965	83	28	.	.	PUNCT
fcis-2965	84	1	the	the	DET
fcis-2965	84	2	specific	specific	ADJ
fcis-2965	84	3	optimization	optimization	NOUN
fcis-2965	84	4	steps	step	NOUN
fcis-2965	84	5	are	be	AUX
fcis-2965	84	6	as	as	SCONJ
fcis-2965	84	7	follows	follow	VERB
fcis-2965	84	8	:	:	PUNCT
fcis-2965	84	9	step	step	NOUN
fcis-2965	84	10	1	1	NUM
fcis-2965	84	11	the	the	DET
fcis-2965	84	12	average	average	ADJ
fcis-2965	84	13	hop	hop	NOUN
fcis-2965	84	14	distance	distance	NOUN
fcis-2965	84	15	𝑑𝑖𝑠𝑎	𝑑𝑖𝑠𝑎	NOUN
fcis-2965	84	16	and	and	CCONJ
fcis-2965	84	17	the	the	DET
fcis-2965	84	18	minimum	minimum	ADJ
fcis-2965	84	19	hop	hop	NOUN
fcis-2965	84	20	number	number	NOUN
fcis-2965	84	21	ℎ𝑐𝑖𝑗	ℎ𝑐𝑖𝑗	NOUN
fcis-2965	84	22	are	be	AUX
fcis-2965	84	23	obtained	obtain	VERB
fcis-2965	84	24	through	through	ADP
fcis-2965	84	25	step	step	NOUN
fcis-2965	84	26	1	1	NUM
fcis-2965	84	27	and	and	CCONJ
fcis-2965	84	28	step	step	NOUN
fcis-2965	84	29	2	2	NUM
fcis-2965	84	30	of	of	ADP
fcis-2965	84	31	the	the	DET
fcis-2965	84	32	dv	dv	PROPN
fcis-2965	84	33	hop	hop	PROPN
fcis-2965	84	34	algorithm	algorithm	PROPN
fcis-2965	84	35	.	.	PUNCT
fcis-2965	85	1	step	step	NOUN
fcis-2965	85	2	2	2	NUM
fcis-2965	85	3	initialize	initialize	NOUN
fcis-2965	85	4	particle	particle	NOUN
fcis-2965	85	5	swarm	swarm	NOUN
fcis-2965	85	6	.	.	PUNCT
fcis-2965	86	1	initialize	initialize	VERB
fcis-2965	86	2	particle	particle	NOUN
fcis-2965	86	3	velocity	velocity	NOUN
fcis-2965	86	4	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	86	5	and	and	CCONJ
fcis-2965	86	6	position	position	VERB
fcis-2965	86	7	𝑋𝑖	𝑋𝑖	PROPN
fcis-2965	86	8	,	,	PUNCT
fcis-2965	86	9	and	and	CCONJ
fcis-2965	86	10	set	set	VERB
fcis-2965	86	11	the	the	DET
fcis-2965	86	12	number	number	NOUN
fcis-2965	86	13	of	of	ADP
fcis-2965	86	14	iterations	iteration	NOUN
fcis-2965	86	15	𝑘	𝑘	X
fcis-2965	86	16	=	=	SYM
fcis-2965	86	17	0	0	PROPN
fcis-2965	86	18	.	.	PUNCT
fcis-2965	87	1	step	step	NOUN
fcis-2965	87	2	3	3	NUM
fcis-2965	87	3	calculate	calculate	VERB
fcis-2965	87	4	the	the	DET
fcis-2965	87	5	fitness	fitness	NOUN
fcis-2965	87	6	value	value	NOUN
fcis-2965	87	7	𝑓𝑖𝑡𝑛𝑒𝑠𝑠	𝑓𝑖𝑡𝑛𝑒𝑠𝑠	NOUN
fcis-2965	87	8	according	accord	VERB
fcis-2965	87	9	to	to	ADP
fcis-2965	87	10	equation	equation	NOUN
fcis-2965	87	11	(	(	PUNCT
fcis-2965	87	12	20	20	NUM
fcis-2965	87	13	)	)	PUNCT
fcis-2965	87	14	.	.	PUNCT
fcis-2965	88	1	step	step	NOUN
fcis-2965	88	2	4	4	NUM
fcis-2965	88	3	compare	compare	VERB
fcis-2965	88	4	the	the	DET
fcis-2965	88	5	fitness	fitness	NOUN
fcis-2965	88	6	of	of	ADP
fcis-2965	88	7	each	each	DET
fcis-2965	88	8	particle	particle	NOUN
fcis-2965	88	9	.	.	PUNCT
fcis-2965	89	1	the	the	DET
fcis-2965	89	2	individual	individual	ADJ
fcis-2965	89	3	optimal	optimal	ADJ
fcis-2965	89	4	solution	solution	NOUN
fcis-2965	89	5	in	in	ADP
fcis-2965	89	6	the	the	DET
fcis-2965	89	7	group	group	NOUN
fcis-2965	89	8	is	be	AUX
fcis-2965	89	9	set	set	VERB
fcis-2965	89	10	as	as	ADP
fcis-2965	89	11	𝑃𝑖	𝑃𝑖	PROPN
fcis-2965	89	12	,	,	PUNCT
fcis-2965	89	13	and	and	CCONJ
fcis-2965	89	14	the	the	DET
fcis-2965	89	15	global	global	ADJ
fcis-2965	89	16	optimal	optimal	ADJ
fcis-2965	89	17	solution	solution	NOUN
fcis-2965	89	18	is	be	AUX
fcis-2965	89	19	set	set	VERB
fcis-2965	89	20	as	as	ADP
fcis-2965	89	21	𝑃𝑏	𝑃𝑏	PROPN
fcis-2965	89	22	.	.	PUNCT
fcis-2965	90	1	step	step	NOUN
fcis-2965	90	2	5	5	NUM
fcis-2965	90	3	update	update	VERB
fcis-2965	90	4	the	the	DET
fcis-2965	90	5	velocity	velocity	NOUN
fcis-2965	90	6	𝑉𝑖	𝑉𝑖	PROPN
fcis-2965	90	7	and	and	CCONJ
fcis-2965	90	8	position	position	VERB
fcis-2965	90	9	𝑋𝑖	𝑋𝑖	PROPN
fcis-2965	90	10	of	of	ADP
fcis-2965	90	11	particles	particle	NOUN
fcis-2965	90	12	according	accord	VERB
fcis-2965	90	13	to	to	ADP
fcis-2965	90	14	formula	formula	NOUN
fcis-2965	90	15	(	(	PUNCT
fcis-2965	90	16	8)	8)	NUM
fcis-2965	90	17	and	and	CCONJ
fcis-2965	90	18	formula	formula	NOUN
fcis-2965	90	19	(	(	PUNCT
fcis-2965	90	20	9	9	NUM
fcis-2965	90	21	)	)	PUNCT
fcis-2965	90	22	.	.	PUNCT
fcis-2965	91	1	step	step	NOUN
fcis-2965	91	2	6	6	NUM
fcis-2965	91	3	determine	determine	VERB
fcis-2965	91	4	whether	whether	SCONJ
fcis-2965	91	5	the	the	DET
fcis-2965	91	6	algorithm	algorithm	NOUN
fcis-2965	91	7	is	be	AUX
fcis-2965	91	8	terminated	terminate	VERB
fcis-2965	91	9	.	.	PUNCT
fcis-2965	92	1	if	if	SCONJ
fcis-2965	92	2	the	the	DET
fcis-2965	92	3	maximum	maximum	ADJ
fcis-2965	92	4	number	number	NOUN
fcis-2965	92	5	of	of	ADP
fcis-2965	92	6	iterations	iteration	NOUN
fcis-2965	92	7	is	be	AUX
fcis-2965	92	8	reached	reach	VERB
fcis-2965	92	9	,	,	PUNCT
fcis-2965	92	10	the	the	DET
fcis-2965	92	11	optimal	optimal	ADJ
fcis-2965	92	12	solution	solution	NOUN
fcis-2965	92	13	will	will	AUX
fcis-2965	92	14	be	be	AUX
fcis-2965	92	15	output	output	VERB
fcis-2965	92	16	;	;	PUNCT
fcis-2965	92	17	otherwise	otherwise	ADV
fcis-2965	92	18	,	,	PUNCT
fcis-2965	92	19	go	go	VERB
fcis-2965	92	20	to	to	PART
fcis-2965	92	21	step	step	VERB
fcis-2965	92	22	7	7	NUM
fcis-2965	92	23	.	.	PUNCT
fcis-2965	93	1	step	step	NOUN
fcis-2965	93	2	7	7	NUM
fcis-2965	93	3	randomly	randomly	ADV
fcis-2965	93	4	select	select	ADJ
fcis-2965	93	5	𝑀	𝑀	PROPN
fcis-2965	93	6	individuals	individual	NOUN
fcis-2965	93	7	according	accord	VERB
fcis-2965	93	8	to	to	ADP
fcis-2965	93	9	the	the	DET
fcis-2965	93	10	fitness	fitness	NOUN
fcis-2965	93	11	value	value	NOUN
fcis-2965	93	12	,	,	PUNCT
fcis-2965	93	13	and	and	CCONJ
fcis-2965	93	14	perform	perform	VERB
fcis-2965	93	15	cross	cross	NOUN
fcis-2965	93	16	operation	operation	NOUN
fcis-2965	93	17	on	on	ADP
fcis-2965	93	18	them	they	PRON
fcis-2965	93	19	to	to	PART
fcis-2965	93	20	obtain	obtain	VERB
fcis-2965	93	21	𝑀	𝑀	PROPN
fcis-2965	93	22	new	new	ADJ
fcis-2965	93	23	individuals	individual	NOUN
fcis-2965	93	24	.	.	PUNCT
fcis-2965	94	1	step	step	NOUN
fcis-2965	94	2	8	8	NUM
fcis-2965	94	3	perform	perform	NOUN
fcis-2965	94	4	mutation	mutation	NOUN
fcis-2965	94	5	operation	operation	NOUN
fcis-2965	94	6	on	on	ADP
fcis-2965	94	7	all	all	DET
fcis-2965	94	8	individuals	individual	NOUN
fcis-2965	94	9	,	,	PUNCT
fcis-2965	94	10	select	select	VERB
fcis-2965	94	11	𝑁	𝑁	PROPN
fcis-2965	94	12	individuals	individual	NOUN
fcis-2965	94	13	with	with	ADP
fcis-2965	94	14	high	high	ADJ
fcis-2965	94	15	fitness	fitness	NOUN
fcis-2965	94	16	from	from	ADP
fcis-2965	94	17	𝑀	𝑀	PROPN
fcis-2965	94	18	+	+	CCONJ
fcis-2965	94	19	𝑁	𝑁	PROPN
fcis-2965	94	20	to	to	PART
fcis-2965	94	21	enter	enter	VERB
fcis-2965	94	22	the	the	DET
fcis-2965	94	23	next	next	ADJ
fcis-2965	94	24	generation	generation	NOUN
fcis-2965	94	25	,	,	PUNCT
fcis-2965	94	26	and	and	CCONJ
fcis-2965	94	27	return	return	VERB
fcis-2965	94	28	to	to	PART
fcis-2965	94	29	step	step	VERB
fcis-2965	94	30	3	3	NUM
fcis-2965	94	31	.	.	NOUN
fcis-2965	94	32	4	4	NUM
fcis-2965	94	33	.	.	X
fcis-2965	94	34	experimental	experimental	ADJ
fcis-2965	94	35	simulation	simulation	NOUN
fcis-2965	94	36	and	and	CCONJ
fcis-2965	94	37	results	result	VERB
fcis-2965	94	38	analysis	analysis	NOUN
fcis-2965	94	39	to	to	PART
fcis-2965	94	40	verify	verify	VERB
fcis-2965	94	41	the	the	DET
fcis-2965	94	42	effectiveness	effectiveness	NOUN
fcis-2965	94	43	of	of	ADP
fcis-2965	94	44	the	the	DET
fcis-2965	94	45	improved	improved	ADJ
fcis-2965	94	46	algorithm	algorithm	NOUN
fcis-2965	94	47	,	,	PUNCT
fcis-2965	94	48	sensor	sensor	NOUN
fcis-2965	94	49	nodes	node	NOUN
fcis-2965	94	50	are	be	AUX
fcis-2965	94	51	randomly	randomly	ADV
fcis-2965	94	52	generated	generate	VERB
fcis-2965	94	53	in	in	ADP
fcis-2965	94	54	a	a	DET
fcis-2965	94	55	simulation	simulation	NOUN
fcis-2965	94	56	region	region	NOUN
fcis-2965	94	57	of	of	ADP
fcis-2965	94	58	100	100	NUM
fcis-2965	94	59	m×100	m×100	ADJ
fcis-2965	94	60	m.	m.	NOUN
fcis-2965	94	61	simulation	simulation	NOUN
fcis-2965	94	62	experiments	experiment	NOUN
fcis-2965	94	63	using	use	VERB
fcis-2965	94	64	matlab	matlab	PROPN
fcis-2965	94	65	for	for	ADP
fcis-2965	94	66	gcpso	gcpso	NOUN
fcis-2965	94	67	-	-	PUNCT
fcis-2965	94	68	hop	hop	PROPN
fcis-2965	94	69	,	,	PUNCT
fcis-2965	94	70	dv	dv	PROPN
fcis-2965	94	71	-	-	PUNCT
fcis-2965	94	72	hop	hop	PROPN
fcis-2965	94	73	,	,	PUNCT
fcis-2965	94	74	ga	ga	PROPN
fcis-2965	94	75	-	-	PUNCT
fcis-2965	94	76	hop	hop	NOUN
fcis-2965	94	77	and	and	CCONJ
fcis-2965	94	78	posho	posho	NOUN
fcis-2965	94	79	,	,	PUNCT
fcis-2965	94	80	and	and	CCONJ
fcis-2965	94	81	analyze	analyze	VERB
fcis-2965	94	82	the	the	DET
fcis-2965	94	83	results	result	NOUN
fcis-2965	94	84	were	be	AUX
fcis-2965	94	85	analyzed	analyze	VERB
fcis-2965	94	86	.	.	PUNCT
fcis-2965	95	1	the	the	DET
fcis-2965	95	2	absolute	absolute	ADJ
fcis-2965	95	3	positioning	positioning	NOUN
fcis-2965	95	4	error	error	NOUN
fcis-2965	95	5	is	be	AUX
fcis-2965	95	6	:	:	PUNCT
fcis-2965	95	7	𝑒	𝑒	ADJ
fcis-2965	95	8	=	=	NOUN
fcis-2965	95	9	√(𝑥	√(𝑥	NOUN
fcis-2965	95	10	−	−	PROPN
fcis-2965	95	11	𝑥𝑒)2	𝑥𝑒)2	PROPN
fcis-2965	95	12	+	+	CCONJ
fcis-2965	95	13	(	(	PUNCT
fcis-2965	95	14	𝑦	𝑦	NOUN
fcis-2965	95	15	−	−	ADP
fcis-2965	95	16	𝑦𝑒)2	𝑦𝑒)2	PROPN
fcis-2965	95	17	(	(	PUNCT
fcis-2965	95	18	21	21	NUM
fcis-2965	95	19	)	)	PUNCT
fcis-2965	95	20	relative	relative	ADJ
fcis-2965	95	21	definition	definition	NOUN
fcis-2965	95	22	error	error	NOUN
fcis-2965	95	23	is	be	AUX
fcis-2965	95	24	:	:	PUNCT
fcis-2965	95	25	�	�	PROPN
fcis-2965	95	26	̂	̂	NOUN
fcis-2965	95	27	�	�	NOUN
fcis-2965	95	28	𝑒𝑟𝑟	𝑒𝑟𝑟	NOUN
fcis-2965	95	29	=	=	SYM
fcis-2965	95	30	∑	∑	PUNCT
fcis-2965	95	31	𝑒𝑒𝑟𝑟	𝑒𝑒𝑟𝑟	NOUN
fcis-2965	95	32	𝑛	𝑛	PROPN
fcis-2965	95	33	1	1	NUM
fcis-2965	95	34	𝑅	𝑅	PROPN
fcis-2965	95	35	(	(	PUNCT
fcis-2965	95	36	22	22	NUM
fcis-2965	95	37	)	)	PUNCT
fcis-2965	95	38	in	in	ADP
fcis-2965	95	39	the	the	DET
fcis-2965	95	40	equation	equation	NOUN
fcis-2965	95	41	,	,	PUNCT
fcis-2965	95	42	(	(	PUNCT
fcis-2965	95	43	𝑥	𝑥	NOUN
fcis-2965	95	44	,	,	PUNCT
fcis-2965	95	45	𝑦	𝑦	X
fcis-2965	95	46	)	)	PUNCT
fcis-2965	95	47	is	be	AUX
fcis-2965	95	48	the	the	DET
fcis-2965	95	49	actual	actual	ADJ
fcis-2965	95	50	coordinate	coordinate	NOUN
fcis-2965	95	51	of	of	ADP
fcis-2965	95	52	the	the	DET
fcis-2965	95	53	unknown	unknown	ADJ
fcis-2965	95	54	node	node	NOUN
fcis-2965	95	55	,	,	PUNCT
fcis-2965	95	56	(	(	PUNCT
fcis-2965	95	57	𝑥𝑒	𝑥𝑒	INTJ
fcis-2965	95	58	,	,	PUNCT
fcis-2965	95	59	𝑦𝑒	𝑦𝑒	PROPN
fcis-2965	95	60	)	)	PUNCT
fcis-2965	95	61	is	be	AUX
fcis-2965	95	62	the	the	DET
fcis-2965	95	63	estimated	estimate	VERB
fcis-2965	95	64	coordinate	coordinate	NOUN
fcis-2965	95	65	,	,	PUNCT
fcis-2965	95	66	and	and	CCONJ
fcis-2965	95	67	𝑅	𝑅	PROPN
fcis-2965	95	68	is	be	AUX
fcis-2965	95	69	the	the	DET
fcis-2965	95	70	communication	communication	NOUN
fcis-2965	95	71	radius	radius	NOUN
fcis-2965	95	72	.	.	PUNCT
fcis-2965	96	1	set	set	VERB
fcis-2965	96	2	𝑐1	𝑐1	NOUN
fcis-2965	96	3	=	=	NOUN
fcis-2965	96	4	𝑐2	𝑐2	NOUN
fcis-2965	96	5	=	=	SYM
fcis-2965	96	6	2.0	2.0	NUM
fcis-2965	96	7	,	,	PUNCT
fcis-2965	96	8	𝜔𝑚𝑎𝑥	𝜔𝑚𝑎𝑥	NOUN
fcis-2965	96	9	=	=	NOUN
fcis-2965	96	10	0.9	0.9	NUM
fcis-2965	96	11	,	,	PUNCT
fcis-2965	96	12	𝜔𝑚𝑖𝑛	𝜔𝑚𝑖𝑛	NOUN
fcis-2965	96	13	=	=	NUM
fcis-2965	96	14	0.4	0.4	NUM
fcis-2965	96	15	,	,	PUNCT
fcis-2965	96	16	genetic	genetic	ADJ
fcis-2965	96	17	crossover	crossover	NOUN
fcis-2965	96	18	probability	probability	NOUN
fcis-2965	96	19	𝑃	𝑃	NOUN
fcis-2965	96	20	=	=	SYM
fcis-2965	96	21	0.85	0.85	NUM
fcis-2965	96	22	,	,	PUNCT
fcis-2965	96	23	population	population	NOUN
fcis-2965	96	24	size	size	NOUN
fcis-2965	96	25	of	of	ADP
fcis-2965	96	26	each	each	DET
fcis-2965	96	27	generation	generation	NOUN
fcis-2965	96	28	𝑁	𝑁	NOUN
fcis-2965	96	29	=	=	SYM
fcis-2965	96	30	40	40	NUM
fcis-2965	96	31	,	,	PUNCT
fcis-2965	96	32	and	and	CCONJ
fcis-2965	96	33	iteration	iteration	NOUN
fcis-2965	96	34	number	number	NOUN
fcis-2965	96	35	𝑘	𝑘	X
fcis-2965	96	36	=	=	NOUN
fcis-2965	96	37	200	200	NUM
fcis-2965	96	38	.	.	PUNCT
fcis-2965	97	1	communication	communication	NOUN
fcis-2965	97	2	radius	radius	NOUN
fcis-2965	97	3	.	.	PUNCT
fcis-2965	98	1	setting	set	VERB
fcis-2965	98	2	,	,	PUNCT
fcis-2965	98	3	genetic	genetic	ADJ
fcis-2965	98	4	crossing	crossing	NOUN
fcis-2965	98	5	probabilities	probability	NOUN
fcis-2965	98	6	,	,	PUNCT
fcis-2965	98	7	size	size	NOUN
fcis-2965	98	8	of	of	ADP
fcis-2965	98	9	the	the	DET
fcis-2965	98	10	population	population	NOUN
fcis-2965	98	11	per	per	ADP
fcis-2965	98	12	generation	generation	NOUN
fcis-2965	98	13	,	,	PUNCT
fcis-2965	98	14	number	number	NOUN
fcis-2965	98	15	of	of	ADP
fcis-2965	98	16	iterations	iteration	NOUN
fcis-2965	98	17	.	.	PUNCT
fcis-2965	99	1	because	because	SCONJ
fcis-2965	99	2	the	the	DET
fcis-2965	99	3	coal	coal	NOUN
fcis-2965	99	4	mine	mine	NOUN
fcis-2965	99	5	underground	underground	ADJ
fcis-2965	99	6	roadway	roadway	NOUN
fcis-2965	99	7	is	be	AUX
fcis-2965	99	8	narrow	narrow	ADJ
fcis-2965	99	9	and	and	CCONJ
fcis-2965	99	10	slender	slender	ADJ
fcis-2965	99	11	and	and	CCONJ
fcis-2965	99	12	the	the	DET
fcis-2965	99	13	open	open	ADJ
fcis-2965	99	14	space	space	NOUN
fcis-2965	99	15	is	be	AUX
fcis-2965	99	16	limited	limit	VERB
fcis-2965	99	17	.	.	PUNCT
fcis-2965	100	1	in	in	ADP
fcis-2965	100	2	order	order	NOUN
fcis-2965	100	3	to	to	PART
fcis-2965	100	4	reduce	reduce	VERB
fcis-2965	100	5	the	the	DET
fcis-2965	100	6	error	error	NOUN
fcis-2965	100	7	of	of	ADP
fcis-2965	100	8	the	the	DET
fcis-2965	100	9	node	node	ADJ
fcis-2965	100	10	communication	communication	NOUN
fcis-2965	100	11	,	,	PUNCT
fcis-2965	100	12	reducing	reduce	VERB
fcis-2965	100	13	the	the	DET
fcis-2965	100	14	distance	distance	NOUN
fcis-2965	100	15	between	between	ADP
fcis-2965	100	16	the	the	DET
fcis-2965	100	17	deployment	deployment	NOUN
fcis-2965	100	18	paving	paving	NOUN
fcis-2965	100	19	nodes	node	NOUN
fcis-2965	100	20	and	and	CCONJ
fcis-2965	100	21	adding	add	VERB
fcis-2965	100	22	the	the	DET
fcis-2965	100	23	redundant	redundant	ADJ
fcis-2965	100	24	nodes	node	NOUN
fcis-2965	100	25	is	be	AUX
fcis-2965	100	26	adopted	adopt	VERB
fcis-2965	100	27	to	to	PART
fcis-2965	100	28	ensure	ensure	VERB
fcis-2965	100	29	the	the	DET
fcis-2965	100	30	communication	communication	NOUN
fcis-2965	100	31	between	between	ADP
fcis-2965	100	32	the	the	DET
fcis-2965	100	33	nodes	node	NOUN
fcis-2965	100	34	.	.	PUNCT
fcis-2965	101	1	in	in	ADP
fcis-2965	101	2	addition	addition	NOUN
fcis-2965	101	3	,	,	PUNCT
fcis-2965	101	4	a	a	DET
fcis-2965	101	5	denser	dense	ADJ
fcis-2965	101	6	single	single	ADJ
fcis-2965	101	7	-	-	PUNCT
fcis-2965	101	8	chain	chain	NOUN
fcis-2965	101	9	deployment	deployment	NOUN
fcis-2965	101	10	mode	mode	NOUN
fcis-2965	101	11	is	be	AUX
fcis-2965	101	12	adopted	adopt	VERB
fcis-2965	101	13	in	in	ADP
fcis-2965	101	14	the	the	DET
fcis-2965	101	15	narrow	narrow	ADJ
fcis-2965	101	16	width	width	ADJ
fcis-2965	101	17	lanes	lane	NOUN
fcis-2965	101	18	to	to	PART
fcis-2965	101	19	ensure	ensure	VERB
fcis-2965	101	20	the	the	DET
fcis-2965	101	21	communication	communication	NOUN
fcis-2965	101	22	quality	quality	NOUN
fcis-2965	101	23	between	between	ADP
fcis-2965	101	24	nodes	node	NOUN
fcis-2965	101	25	.	.	PUNCT
fcis-2965	102	1	in	in	ADP
fcis-2965	102	2	order	order	NOUN
fcis-2965	102	3	to	to	PART
fcis-2965	102	4	test	test	VERB
fcis-2965	102	5	the	the	DET
fcis-2965	102	6	performance	performance	NOUN
fcis-2965	102	7	of	of	ADP
fcis-2965	102	8	this	this	DET
fcis-2965	102	9	algorithm	algorithm	NOUN
fcis-2965	102	10	,	,	PUNCT
fcis-2965	102	11	the	the	DET
fcis-2965	102	12	experimental	experimental	ADJ
fcis-2965	102	13	platform	platform	NOUN
fcis-2965	102	14	of	of	ADP
fcis-2965	102	15	simulated	simulated	ADJ
fcis-2965	102	16	zigbee	zigbee	PROPN
fcis-2965	102	17	wireless	wireless	PROPN
fcis-2965	102	18	sensor	sensor	NOUN
fcis-2965	102	19	distribution	distribution	NOUN
fcis-2965	102	20	network	network	NOUN
fcis-2965	102	21	is	be	AUX
fcis-2965	102	22	built	build	VERB
fcis-2965	102	23	.	.	PUNCT
fcis-2965	103	1	a	a	DET
fcis-2965	103	2	schematic	schematic	ADJ
fcis-2965	103	3	diagram	diagram	NOUN
fcis-2965	103	4	of	of	ADP
fcis-2965	103	5	the	the	DET
fcis-2965	103	6	experimental	experimental	ADJ
fcis-2965	103	7	platform	platform	NOUN
fcis-2965	103	8	is	be	AUX
fcis-2965	103	9	shown	show	VERB
fcis-2965	103	10	in	in	ADP
fcis-2965	103	11	figure	figure	NOUN
fcis-2965	103	12	3	3	NUM
fcis-2965	103	13	.	.	PUNCT
fcis-2965	104	1	the	the	DET
fcis-2965	104	2	power	power	NOUN
fcis-2965	104	3	supply	supply	NOUN
fcis-2965	104	4	is	be	AUX
fcis-2965	104	5	a	a	DET
fcis-2965	104	6	threephase	threephase	PROPN
fcis-2965	104	7	current	current	ADJ
fcis-2965	104	8	source	source	NOUN
fcis-2965	104	9	,	,	PUNCT
fcis-2965	104	10	the	the	DET
fcis-2965	104	11	single	single	ADJ
fcis-2965	104	12	-	-	PUNCT
fcis-2965	104	13	phase	phase	NOUN
fcis-2965	104	14	output	output	NOUN
fcis-2965	104	15	current	current	NOUN
fcis-2965	104	16	is	be	AUX
fcis-2965	104	17	1	1	NUM
fcis-2965	104	18	a~100	a~100	PROPN
fcis-2965	104	19	a	a	INTJ
fcis-2965	104	20	,	,	PUNCT
fcis-2965	104	21	the	the	DET
fcis-2965	104	22	isolation	isolation	NOUN
fcis-2965	104	23	transformer	transformer	NOUN
fcis-2965	104	24	ratio	ratio	NOUN
fcis-2965	104	25	is	be	AUX
fcis-2965	104	26	1:1	1:1	NUM
fcis-2965	104	27	,	,	PUNCT
fcis-2965	104	28	r	r	NOUN
fcis-2965	104	29	is	be	AUX
fcis-2965	104	30	the	the	DET
fcis-2965	104	31	protection	protection	NOUN
fcis-2965	104	32	resistance	resistance	NOUN
fcis-2965	104	33	,	,	PUNCT
fcis-2965	104	34	a	a	DET
fcis-2965	104	35	,	,	PUNCT
fcis-2965	104	36	b	b	NOUN
fcis-2965	104	37	and	and	CCONJ
fcis-2965	104	38	c	c	PROPN
fcis-2965	104	39	are	be	AUX
fcis-2965	104	40	three	three	NUM
fcis-2965	104	41	-	-	PUNCT
fcis-2965	104	42	phase	phase	NOUN
fcis-2965	104	43	upper	upper	ADJ
fcis-2965	104	44	current	current	ADJ
fcis-2965	104	45	sensors	sensor	NOUN
fcis-2965	104	46	.	.	PUNCT
fcis-2965	105	1	once	once	SCONJ
fcis-2965	105	2	the	the	DET
fcis-2965	105	3	circuit	circuit	NOUN
fcis-2965	105	4	in	in	ADP
fcis-2965	105	5	the	the	DET
fcis-2965	105	6	grid	grid	NOUN
fcis-2965	105	7	ground	ground	NOUN
fcis-2965	105	8	fault	fault	NOUN
fcis-2965	105	9	,	,	PUNCT
fcis-2965	105	10	the	the	DET
fcis-2965	105	11	three	three	NUM
fcis-2965	105	12	-	-	PUNCT
fcis-2965	105	13	phase	phase	NOUN
fcis-2965	105	14	line	line	NOUN
fcis-2965	105	15	loses	lose	VERB
fcis-2965	105	16	balance	balance	NOUN
fcis-2965	105	17	will	will	AUX
fcis-2965	105	18	appear	appear	VERB
fcis-2965	105	19	zero	zero	NUM
fcis-2965	105	20	order	order	NOUN
fcis-2965	105	21	component	component	NOUN
fcis-2965	105	22	.	.	PUNCT
fcis-2965	106	1	after	after	ADP
fcis-2965	106	2	the	the	DET
fcis-2965	106	3	signal	signal	PROPN
fcis-2965	106	4	adjustment	adjustment	NOUN
fcis-2965	106	5	circuit	circuit	NOUN
fcis-2965	106	6	,	,	PUNCT
fcis-2965	106	7	the	the	DET
fcis-2965	106	8	0~3.3v	0~3.3v	ADJ
fcis-2965	106	9	voltage	voltage	NOUN
fcis-2965	106	10	signal	signal	NOUN
fcis-2965	106	11	is	be	AUX
fcis-2965	106	12	output	output	NOUN
fcis-2965	106	13	,	,	PUNCT
fcis-2965	106	14	and	and	CCONJ
fcis-2965	106	15	then	then	ADV
fcis-2965	106	16	converted	convert	VERB
fcis-2965	106	17	into	into	ADP
fcis-2965	106	18	a	a	DET
fcis-2965	106	19	digital	digital	ADJ
fcis-2965	106	20	signal	signal	NOUN
fcis-2965	106	21	by	by	ADP
fcis-2965	106	22	the	the	DET
fcis-2965	106	23	a	a	PRON
fcis-2965	106	24	/	/	SYM
fcis-2965	106	25	d	d	NOUN
fcis-2965	106	26	converter	converter	NOUN
fcis-2965	106	27	,	,	PUNCT
fcis-2965	106	28	and	and	CCONJ
fcis-2965	106	29	ultimately	ultimately	ADV
fcis-2965	106	30	conducive	conducive	ADJ
fcis-2965	106	31	to	to	ADP
fcis-2965	106	32	the	the	DET
fcis-2965	106	33	zigbee	zigbee	PROPN
fcis-2965	106	34	wireless	wireless	PROPN
fcis-2965	106	35	technology	technology	PROPN
fcis-2965	106	36	transmission	transmission	NOUN
fcis-2965	106	37	to	to	ADP
fcis-2965	106	38	the	the	DET
fcis-2965	106	39	terminal	terminal	NOUN
fcis-2965	106	40	.	.	PUNCT
fcis-2965	107	1	table	table	NOUN
fcis-2965	107	2	1	1	NUM
fcis-2965	107	3	shows	show	VERB
fcis-2965	107	4	the	the	DET
fcis-2965	107	5	zero	zero	NUM
fcis-2965	107	6	-	-	PUNCT
fcis-2965	107	7	order	order	NOUN
fcis-2965	107	8	current	current	NOUN
fcis-2965	107	9	of	of	ADP
fcis-2965	107	10	the	the	DET
fcis-2965	107	11	measured	measured	ADJ
fcis-2965	107	12	alignment	alignment	NOUN
fcis-2965	107	13	lines	line	NOUN
fcis-2965	107	14	.	.	PUNCT
fcis-2965	108	1	figure	figure	VERB
fcis-2965	108	2	3	3	NUM
fcis-2965	108	3	.	.	PUNCT
fcis-2965	108	4	schematic	schematic	ADJ
fcis-2965	108	5	diagram	diagram	NOUN
fcis-2965	108	6	of	of	ADP
fcis-2965	108	7	the	the	DET
fcis-2965	108	8	experimental	experimental	ADJ
fcis-2965	108	9	platform	platform	NOUN
fcis-2965	108	10	structure	structure	NOUN
fcis-2965	108	11	figure	figure	NOUN
fcis-2965	108	12	4	4	NUM
fcis-2965	108	13	is	be	AUX
fcis-2965	108	14	a	a	DET
fcis-2965	108	15	random	random	ADJ
fcis-2965	108	16	distribution	distribution	NOUN
fcis-2965	108	17	plot	plot	NOUN
fcis-2965	108	18	of	of	ADP
fcis-2965	108	19	the	the	DET
fcis-2965	108	20	nodes	node	NOUN
fcis-2965	108	21	.	.	PUNCT
fcis-2965	109	1	the	the	DET
fcis-2965	109	2	asterisk	asterisk	NOUN
fcis-2965	109	3	is	be	AUX
fcis-2965	109	4	the	the	DET
fcis-2965	109	5	unknown	unknown	ADJ
fcis-2965	109	6	node	node	NOUN
fcis-2965	109	7	,	,	PUNCT
fcis-2965	109	8	and	and	CCONJ
fcis-2965	109	9	the	the	DET
fcis-2965	109	10	cross	cross	NOUN
fcis-2965	109	11	symbol	symbol	NOUN
fcis-2965	109	12	is	be	AUX
fcis-2965	109	13	the	the	DET
fcis-2965	109	14	anchor	anchor	NOUN
fcis-2965	109	15	node	node	NOUN
fcis-2965	109	16	.	.	PUNCT
fcis-2965	110	1	at	at	ADP
fcis-2965	110	2	this	this	DET
fcis-2965	110	3	time	time	NOUN
fcis-2965	110	4	,	,	PUNCT
fcis-2965	110	5	the	the	DET
fcis-2965	110	6	anchor	anchor	NOUN
fcis-2965	110	7	node	node	NOUN
fcis-2965	110	8	is	be	AUX
fcis-2965	110	9	approximately	approximately	ADV
fcis-2965	110	10	collinear	collinear	ADJ
fcis-2965	110	11	with	with	ADP
fcis-2965	110	12	the	the	DET
fcis-2965	110	13	underground	underground	ADJ
fcis-2965	110	14	coal	coal	NOUN
fcis-2965	110	15	mine	mine	NOUN
fcis-2965	110	16	.	.	PUNCT
fcis-2965	111	1	figure	figure	NOUN
fcis-2965	111	2	5	5	NUM
fcis-2965	111	3	shows	show	VERB
fcis-2965	111	4	the	the	DET
fcis-2965	111	5	45	45	NUM
fcis-2965	111	6	localization	localization	NOUN
fcis-2965	111	7	effect	effect	NOUN
fcis-2965	111	8	of	of	ADP
fcis-2965	111	9	undetecting	undetecte	VERB
fcis-2965	111	10	collinearity	collinearity	NOUN
fcis-2965	111	11	and	and	CCONJ
fcis-2965	111	12	excluding	exclude	VERB
fcis-2965	111	13	colollinearity	colollinearity	NOUN
fcis-2965	111	14	.	.	PUNCT
fcis-2965	112	1	as	as	SCONJ
fcis-2965	112	2	shown	show	VERB
fcis-2965	112	3	in	in	ADP
fcis-2965	112	4	figure	figure	NOUN
fcis-2965	112	5	5	5	NUM
fcis-2965	112	6	(	(	PUNCT
fcis-2965	112	7	a	a	NOUN
fcis-2965	112	8	)	)	PUNCT
fcis-2965	112	9	and	and	CCONJ
fcis-2965	112	10	figure	figure	VERB
fcis-2965	112	11	5	5	NUM
fcis-2965	112	12	(	(	PUNCT
fcis-2965	112	13	b	b	NOUN
fcis-2965	112	14	)	)	PUNCT
fcis-2965	112	15	,	,	PUNCT
fcis-2965	112	16	the	the	DET
fcis-2965	112	17	localization	localization	NOUN
fcis-2965	112	18	effect	effect	NOUN
fcis-2965	112	19	after	after	ADP
fcis-2965	112	20	excluding	exclude	VERB
fcis-2965	112	21	collinearity	collinearity	NOUN
fcis-2965	112	22	scheme	scheme	NOUN
fcis-2965	112	23	is	be	AUX
fcis-2965	112	24	better	well	ADJ
fcis-2965	112	25	,	,	PUNCT
fcis-2965	112	26	which	which	PRON
fcis-2965	112	27	can	can	AUX
fcis-2965	112	28	effectively	effectively	ADV
fcis-2965	112	29	reduce	reduce	VERB
fcis-2965	112	30	the	the	DET
fcis-2965	112	31	average	average	ADJ
fcis-2965	112	32	localization	localization	NOUN
fcis-2965	112	33	error	error	NOUN
fcis-2965	112	34	of	of	ADP
fcis-2965	112	35	nodes	node	NOUN
fcis-2965	112	36	.	.	PUNCT
fcis-2965	113	1	table	table	NOUN
fcis-2965	113	2	1	1	NUM
fcis-2965	113	3	.	.	NUM
fcis-2965	113	4	zero	zero	NUM
fcis-2965	113	5	-	-	PUNCT
fcis-2965	113	6	order	order	NOUN
fcis-2965	113	7	current	current	ADJ
fcis-2965	113	8	error	error	NOUN
fcis-2965	113	9	of	of	ADP
fcis-2965	113	10	transmission	transmission	NOUN
fcis-2965	113	11	line	line	NOUN
fcis-2965	113	12	measured	measure	VERB
fcis-2965	113	13	by	by	ADP
fcis-2965	113	14	wireless	wireless	ADJ
fcis-2965	113	15	sensor	sensor	NOUN
fcis-2965	113	16	network	network	NOUN
fcis-2965	113	17	order	order	NOUN
fcis-2965	113	18	number	number	NOUN
fcis-2965	113	19	line	line	NOUN
fcis-2965	113	20	zeroorder	zeroorder	NOUN
fcis-2965	113	21	current	current	NOUN
fcis-2965	113	22	/	/	PUNCT
fcis-2965	113	23	a	a	DET
fcis-2965	113	24	wsn	wsn	NOUN
fcis-2965	113	25	detects	detect	NOUN
fcis-2965	113	26	zero	zero	NUM
fcis-2965	113	27	-	-	PUNCT
fcis-2965	113	28	order	order	NOUN
fcis-2965	113	29	current	current	NOUN
fcis-2965	113	30	/	/	PUNCT
fcis-2965	113	31	a	a	DET
fcis-2965	113	32	error	error	NOUN
fcis-2965	113	33	/%	/%	NOUN
fcis-2965	113	34	1	1	NUM
fcis-2965	113	35	1.00	1.00	NUM
fcis-2965	113	36	1.03	1.03	NUM
fcis-2965	113	37	3.00	3.00	NUM
fcis-2965	113	38	2	2	NUM
fcis-2965	113	39	3.00	3.00	NUM
fcis-2965	113	40	3.14	3.14	NUM
fcis-2965	113	41	4.67	4.67	NUM
fcis-2965	113	42	3	3	NUM
fcis-2965	113	43	5.00	5.00	NUM
fcis-2965	113	44	5.24	5.24	NUM
fcis-2965	113	45	4.80	4.80	NUM
fcis-2965	113	46	4	4	NUM
fcis-2965	113	47	7.00	7.00	NUM
fcis-2965	113	48	7.36	7.36	NUM
fcis-2965	113	49	5.14	5.14	NUM
fcis-2965	113	50	5	5	NUM
fcis-2965	113	51	9.00	9.00	NUM
fcis-2965	113	52	9.58	9.58	NUM
fcis-2965	113	53	6.44	6.44	NUM
fcis-2965	113	54	6	6	NUM
fcis-2965	113	55	11.00	11.00	NUM
fcis-2965	113	56	10.46	10.46	NUM
fcis-2965	113	57	4.91	4.91	NUM
fcis-2965	113	58	7	7	NUM
fcis-2965	113	59	13.00	13.00	NUM
fcis-2965	113	60	13.46	13.46	NUM
fcis-2965	113	61	3.54	3.54	NUM
fcis-2965	113	62	8	8	NUM
fcis-2965	113	63	15.00	15.00	NUM
fcis-2965	113	64	15.63	15.63	NUM
fcis-2965	113	65	4.20	4.20	NUM
fcis-2965	113	66	9	9	NUM
fcis-2965	113	67	17.00	17.00	NUM
fcis-2965	113	68	16.60	16.60	NUM
fcis-2965	113	69	2.35	2.35	NUM
fcis-2965	113	70	10	10	NUM
fcis-2965	113	71	19.00	19.00	NUM
fcis-2965	113	72	18.71	18.71	NUM
fcis-2965	113	73	1.53	1.53	NUM
fcis-2965	113	74	11	11	NUM
fcis-2965	113	75	20.00	20.00	NUM
fcis-2965	113	76	20.85	20.85	NUM
fcis-2965	113	77	4.25	4.25	NUM
fcis-2965	113	78	average	average	ADJ
fcis-2965	113	79	error	error	NOUN
fcis-2965	113	80	4.08	4.08	NUM
fcis-2965	113	81	figure	figure	NOUN
fcis-2965	113	82	4	4	NUM
fcis-2965	113	83	.	.	PUNCT
fcis-2965	113	84	random	random	ADJ
fcis-2965	113	85	distribution	distribution	NOUN
fcis-2965	113	86	of	of	ADP
fcis-2965	113	87	the	the	DET
fcis-2965	113	88	nodes	node	NOUN
fcis-2965	113	89	figure	figure	VERB
fcis-2965	113	90	5	5	NUM
fcis-2965	113	91	.	.	PUNCT
fcis-2965	114	1	excluded	exclude	VERB
fcis-2965	114	2	the	the	DET
fcis-2965	114	3	localization	localization	NOUN
fcis-2965	114	4	mean	mean	VERB
fcis-2965	114	5	error	error	NOUN
fcis-2965	114	6	comparison	comparison	NOUN
fcis-2965	114	7	before	before	ADV
fcis-2965	114	8	and	and	CCONJ
fcis-2965	114	9	after	after	ADP
fcis-2965	114	10	being	be	AUX
fcis-2965	114	11	approximately	approximately	ADV
fcis-2965	114	12	collinear	collinear	ADJ
fcis-2965	114	13	figure	figure	NOUN
fcis-2965	114	14	6	6	NUM
fcis-2965	114	15	shows	show	VERB
fcis-2965	114	16	the	the	DET
fcis-2965	114	17	change	change	NOUN
fcis-2965	114	18	curve	curve	NOUN
fcis-2965	114	19	of	of	ADP
fcis-2965	114	20	the	the	DET
fcis-2965	114	21	average	average	ADJ
fcis-2965	114	22	total	total	ADJ
fcis-2965	114	23	number	number	NOUN
fcis-2965	114	24	of	of	ADP
fcis-2965	114	25	anchor	anchor	NOUN
fcis-2965	114	26	nodes	node	NOUN
fcis-2965	114	27	between	between	ADP
fcis-2965	114	28	5	5	NUM
fcis-2965	114	29	%	%	NOUN
fcis-2965	114	30	and	and	CCONJ
fcis-2965	114	31	35	35	NUM
fcis-2965	114	32	%	%	NOUN
fcis-2965	114	33	.	.	PUNCT
fcis-2965	115	1	it	it	PRON
fcis-2965	115	2	can	can	AUX
fcis-2965	115	3	be	be	AUX
fcis-2965	115	4	seen	see	VERB
fcis-2965	115	5	from	from	ADP
fcis-2965	115	6	the	the	DET
fcis-2965	115	7	figure	figure	NOUN
fcis-2965	115	8	that	that	SCONJ
fcis-2965	115	9	the	the	DET
fcis-2965	115	10	average	average	ADJ
fcis-2965	115	11	localization	localization	NOUN
fcis-2965	115	12	error	error	NOUN
fcis-2965	115	13	of	of	ADP
fcis-2965	115	14	the	the	DET
fcis-2965	115	15	four	four	NUM
fcis-2965	115	16	localization	localization	NOUN
fcis-2965	115	17	algorithms	algorithms	NOUN
fcis-2965	115	18	is	be	AUX
fcis-2965	115	19	constantly	constantly	ADV
fcis-2965	115	20	decreasing	decrease	VERB
fcis-2965	115	21	as	as	ADP
fcis-2965	115	22	the	the	DET
fcis-2965	115	23	proportion	proportion	NOUN
fcis-2965	115	24	of	of	ADP
fcis-2965	115	25	anchor	anchor	NOUN
fcis-2965	115	26	nodes	node	NOUN
fcis-2965	115	27	increases	increase	NOUN
fcis-2965	115	28	,	,	PUNCT
fcis-2965	115	29	and	and	CCONJ
fcis-2965	115	30	the	the	DET
fcis-2965	115	31	localization	localization	NOUN
fcis-2965	115	32	performance	performance	NOUN
fcis-2965	115	33	of	of	ADP
fcis-2965	115	34	the	the	DET
fcis-2965	115	35	gcpso	gcpso	NOUN
fcis-2965	115	36	-	-	PUNCT
fcis-2965	115	37	hop	hop	NOUN
fcis-2965	115	38	algorithm	algorithm	NOUN
fcis-2965	115	39	shows	show	VERB
fcis-2965	115	40	obvious	obvious	ADJ
fcis-2965	115	41	advantages	advantage	NOUN
fcis-2965	115	42	.	.	PUNCT
fcis-2965	116	1	at	at	ADP
fcis-2965	116	2	the	the	DET
fcis-2965	116	3	anchor	anchor	NOUN
fcis-2965	116	4	node	node	NOUN
fcis-2965	116	5	ratio	ratio	NOUN
fcis-2965	116	6	of	of	ADP
fcis-2965	116	7	35	35	NUM
fcis-2965	116	8	%	%	NOUN
fcis-2965	116	9	,	,	PUNCT
fcis-2965	116	10	the	the	DET
fcis-2965	116	11	gcpsohop	gcpsohop	NOUN
fcis-2965	116	12	algorithm	algorithm	NOUN
fcis-2965	116	13	has	have	VERB
fcis-2965	116	14	the	the	DET
fcis-2965	116	15	smallest	small	ADJ
fcis-2965	116	16	average	average	ADJ
fcis-2965	116	17	localization	localization	NOUN
fcis-2965	116	18	error	error	NOUN
fcis-2965	116	19	and	and	CCONJ
fcis-2965	116	20	was	be	AUX
fcis-2965	116	21	11.16	11.16	NUM
fcis-2965	116	22	%	%	NOUN
fcis-2965	116	23	lower	low	ADJ
fcis-2965	116	24	than	than	ADP
fcis-2965	116	25	dv	dv	PROPN
fcis-2965	116	26	-	-	PROPN
fcis-2965	116	27	hop	hop	PROPN
fcis-2965	116	28	.	.	PUNCT
fcis-2965	117	1	it	it	PRON
fcis-2965	117	2	show	show	VERB
fcis-2965	117	3	that	that	SCONJ
fcis-2965	117	4	gcpso	gcpso	ADJ
fcis-2965	117	5	-	-	PUNCT
fcis-2965	117	6	hop	hop	NOUN
fcis-2965	117	7	algorithm	algorithm	NOUN
fcis-2965	117	8	can	can	AUX
fcis-2965	117	9	improve	improve	VERB
fcis-2965	117	10	node	node	ADJ
fcis-2965	117	11	localization	localization	NOUN
fcis-2965	117	12	accuracy	accuracy	NOUN
fcis-2965	117	13	and	and	CCONJ
fcis-2965	117	14	reduce	reduce	VERB
fcis-2965	117	15	localization	localization	NOUN
fcis-2965	117	16	error	error	NOUN
fcis-2965	117	17	.	.	PUNCT
fcis-2965	118	1	figure	figure	NOUN
fcis-2965	118	2	7	7	NUM
fcis-2965	118	3	shows	show	VERB
fcis-2965	118	4	the	the	DET
fcis-2965	118	5	relationship	relationship	NOUN
fcis-2965	118	6	of	of	ADP
fcis-2965	118	7	the	the	DET
fcis-2965	118	8	average	average	ADJ
fcis-2965	118	9	localization	localization	NOUN
fcis-2965	118	10	error	error	NOUN
fcis-2965	118	11	with	with	ADP
fcis-2965	118	12	the	the	DET
fcis-2965	118	13	number	number	NOUN
fcis-2965	118	14	of	of	ADP
fcis-2965	118	15	nodes	node	NOUN
fcis-2965	118	16	with	with	ADP
fcis-2965	118	17	the	the	DET
fcis-2965	118	18	same	same	ADJ
fcis-2965	118	19	proportion	proportion	NOUN
fcis-2965	118	20	of	of	ADP
fcis-2965	118	21	anchor	anchor	NOUN
fcis-2965	118	22	nodes	nod	VERB
fcis-2965	118	23	.	.	PUNCT
fcis-2965	119	1	as	as	ADP
fcis-2965	119	2	the	the	DET
fcis-2965	119	3	number	number	NOUN
fcis-2965	119	4	of	of	ADP
fcis-2965	119	5	nodes	node	NOUN
fcis-2965	119	6	increases	increase	NOUN
fcis-2965	119	7	,	,	PUNCT
fcis-2965	119	8	the	the	DET
fcis-2965	119	9	average	average	ADJ
fcis-2965	119	10	localization	localization	NOUN
fcis-2965	119	11	error	error	NOUN
fcis-2965	119	12	all	all	PRON
fcis-2965	119	13	decreases	decrease	VERB
fcis-2965	119	14	and	and	CCONJ
fcis-2965	119	15	gradually	gradually	ADV
fcis-2965	119	16	stabilizes	stabilize	VERB
fcis-2965	119	17	.	.	PUNCT
fcis-2965	120	1	the	the	DET
fcis-2965	120	2	average	average	ADJ
fcis-2965	120	3	localization	localization	NOUN
fcis-2965	120	4	error	error	NOUN
fcis-2965	120	5	of	of	ADP
fcis-2965	120	6	both	both	CCONJ
fcis-2965	120	7	the	the	DET
fcis-2965	120	8	ga	ga	PROPN
fcis-2965	120	9	-	-	PUNCT
fcis-2965	120	10	hop	hop	NOUN
fcis-2965	120	11	algorithm	algorithm	NOUN
fcis-2965	120	12	and	and	CCONJ
fcis-2965	120	13	the	the	DET
fcis-2965	120	14	pso	pso	NOUN
fcis-2965	120	15	-	-	PUNCT
fcis-2965	120	16	hop	hop	NOUN
fcis-2965	120	17	algorithm	algorithm	NOUN
fcis-2965	120	18	was	be	AUX
fcis-2965	120	19	smaller	small	ADJ
fcis-2965	120	20	than	than	ADP
fcis-2965	120	21	that	that	PRON
fcis-2965	120	22	of	of	ADP
fcis-2965	120	23	the	the	DET
fcis-2965	120	24	dv	dv	PROPN
fcis-2965	120	25	-	-	PUNCT
fcis-2965	120	26	hop	hop	PROPN
fcis-2965	120	27	algorithm	algorithm	NOUN
fcis-2965	120	28	,	,	PUNCT
fcis-2965	120	29	but	but	CCONJ
fcis-2965	120	30	it	it	PRON
fcis-2965	120	31	did	do	AUX
fcis-2965	120	32	not	not	PART
fcis-2965	120	33	reach	reach	VERB
fcis-2965	120	34	the	the	DET
fcis-2965	120	35	optimization	optimization	NOUN
fcis-2965	120	36	.	.	PUNCT
fcis-2965	121	1	since	since	SCONJ
fcis-2965	121	2	the	the	DET
fcis-2965	121	3	gcpso	gcpso	NOUN
fcis-2965	121	4	-	-	PUNCT
fcis-2965	121	5	hop	hop	NOUN
fcis-2965	121	6	algorithm	algorithm	NOUN
fcis-2965	121	7	is	be	AUX
fcis-2965	121	8	more	more	ADV
fcis-2965	121	9	accurate	accurate	ADJ
fcis-2965	121	10	on	on	ADP
fcis-2965	121	11	the	the	DET
fcis-2965	121	12	location	location	NOUN
fcis-2965	121	13	correction	correction	NOUN
fcis-2965	121	14	obtained	obtain	VERB
fcis-2965	121	15	from	from	ADP
fcis-2965	121	16	the	the	DET
fcis-2965	121	17	localization	localization	NOUN
fcis-2965	121	18	,	,	PUNCT
fcis-2965	121	19	the	the	DET
fcis-2965	121	20	average	average	ADJ
fcis-2965	121	21	localization	localization	NOUN
fcis-2965	121	22	error	error	NOUN
fcis-2965	121	23	is	be	AUX
fcis-2965	121	24	smaller	small	ADJ
fcis-2965	121	25	.	.	PUNCT
fcis-2965	122	1	figure	figure	NOUN
fcis-2965	122	2	6	6	NUM
fcis-2965	122	3	.	.	PUNCT
fcis-2965	123	1	the	the	DET
fcis-2965	123	2	average	average	ADJ
fcis-2965	123	3	localization	localization	NOUN
fcis-2965	123	4	error	error	NOUN
fcis-2965	123	5	changes	change	VERB
fcis-2965	123	6	with	with	ADP
fcis-2965	123	7	the	the	DET
fcis-2965	123	8	proportion	proportion	NOUN
fcis-2965	123	9	of	of	ADP
fcis-2965	123	10	the	the	DET
fcis-2965	123	11	anchor	anchor	NOUN
fcis-2965	123	12	nodes	node	NOUN
fcis-2965	123	13	figure	figure	VERB
fcis-2965	123	14	7	7	NUM
fcis-2965	123	15	.	.	PUNCT
fcis-2965	124	1	changes	change	NOUN
fcis-2965	124	2	of	of	ADP
fcis-2965	124	3	the	the	DET
fcis-2965	124	4	average	average	ADJ
fcis-2965	124	5	localization	localization	NOUN
fcis-2965	124	6	error	error	NOUN
fcis-2965	124	7	with	with	ADP
fcis-2965	124	8	the	the	DET
fcis-2965	124	9	number	number	NOUN
fcis-2965	124	10	of	of	ADP
fcis-2965	124	11	nodes	node	NOUN
fcis-2965	124	12	figure	figure	VERB
fcis-2965	124	13	8	8	NUM
fcis-2965	124	14	.	.	PUNCT
fcis-2965	125	1	average	average	ADJ
fcis-2965	125	2	localization	localization	NOUN
fcis-2965	125	3	error	error	NOUN
fcis-2965	125	4	along	along	ADP
fcis-2965	125	5	with	with	ADP
fcis-2965	125	6	the	the	DET
fcis-2965	125	7	node	node	ADJ
fcis-2965	125	8	communication	communication	NOUN
fcis-2965	125	9	radius	radius	NOUN
fcis-2965	125	10	relationship	relationship	NOUN
fcis-2965	125	11	for	for	ADP
fcis-2965	125	12	a	a	DET
fcis-2965	125	13	more	more	ADV
fcis-2965	125	14	comprehensive	comprehensive	ADJ
fcis-2965	125	15	analysis	analysis	NOUN
fcis-2965	125	16	of	of	ADP
fcis-2965	125	17	the	the	DET
fcis-2965	125	18	performance	performance	NOUN
fcis-2965	125	19	of	of	ADP
fcis-2965	125	20	the	the	DET
fcis-2965	125	21	gapso	gapso	NOUN
fcis-2965	125	22	-	-	PUNCT
fcis-2965	125	23	hop	hop	NOUN
fcis-2965	125	24	algorithm	algorithm	NOUN
fcis-2965	125	25	.	.	PUNCT
fcis-2965	126	1	figure	figure	NOUN
fcis-2965	126	2	8	8	NUM
fcis-2965	126	3	shows	show	VERB
fcis-2965	126	4	the	the	DET
fcis-2965	126	5	average	average	ADJ
fcis-2965	126	6	localization	localization	NOUN
fcis-2965	126	7	error	error	NOUN
fcis-2965	126	8	change	change	NOUN
fcis-2965	126	9	curve	curve	NOUN
fcis-2965	126	10	of	of	ADP
fcis-2965	126	11	the	the	DET
fcis-2965	126	12	nodes	node	NOUN
fcis-2965	126	13	at	at	ADP
fcis-2965	126	14	different	different	ADJ
fcis-2965	126	15	communication	communication	NOUN
fcis-2965	126	16	radii	radius	NOUN
fcis-2965	126	17	when	when	SCONJ
fcis-2965	126	18	the	the	DET
fcis-2965	126	19	anchor	anchor	NOUN
fcis-2965	126	20	node	node	NOUN
fcis-2965	126	21	ratio	ratio	NOUN
fcis-2965	126	22	is	be	AUX
fcis-2965	126	23	20	20	NUM
fcis-2965	126	24	%	%	NOUN
fcis-2965	126	25	.	.	PUNCT
fcis-2965	127	1	it	it	PRON
fcis-2965	127	2	can	can	AUX
fcis-2965	127	3	be	be	AUX
fcis-2965	127	4	seen	see	VERB
fcis-2965	127	5	from	from	ADP
fcis-2965	127	6	the	the	DET
fcis-2965	127	7	simulation	simulation	NOUN
fcis-2965	127	8	results	result	VERB
fcis-2965	127	9	that	that	SCONJ
fcis-2965	127	10	when	when	SCONJ
fcis-2965	127	11	r	r	NOUN
fcis-2965	127	12	hours	hour	NOUN
fcis-2965	127	13	as	as	ADP
fcis-2965	127	14	the	the	DET
fcis-2965	127	15	communication	communication	NOUN
fcis-2965	127	16	radius	radius	NOUN
fcis-2965	127	17	increases	increase	NOUN
fcis-2965	127	18	,	,	PUNCT
fcis-2965	127	19	the	the	DET
fcis-2965	127	20	average	average	ADJ
fcis-2965	127	21	localization	localization	NOUN
fcis-2965	127	22	error	error	NOUN
fcis-2965	127	23	begins	begin	VERB
fcis-2965	127	24	to	to	PART
fcis-2965	127	25	decrease	decrease	VERB
fcis-2965	127	26	.	.	PUNCT
fcis-2965	128	1	for	for	ADP
fcis-2965	128	2	example	example	NOUN
fcis-2965	128	3	,	,	PUNCT
fcis-2965	128	4	at	at	ADP
fcis-2965	128	5	r	r	NOUN
fcis-2965	128	6	=	=	SYM
fcis-2965	128	7	10	10	NUM
fcis-2965	128	8	m	m	PROPN
fcis-2965	128	9	,	,	PUNCT
fcis-2965	128	10	the	the	DET
fcis-2965	128	11	average	average	ADJ
fcis-2965	128	12	localization	localization	NOUN
fcis-2965	128	13	error	error	NOUN
fcis-2965	128	14	of	of	ADP
fcis-2965	128	15	the	the	DET
fcis-2965	128	16	nodes	node	NOUN
fcis-2965	128	17	of	of	ADP
fcis-2965	128	18	the	the	DET
fcis-2965	128	19	gcpso	gcpso	NOUN
fcis-2965	128	20	-	-	PUNCT
fcis-2965	128	21	hop	hop	NOUN
fcis-2965	128	22	algorithm	algorithm	NOUN
fcis-2965	128	23	was	be	AUX
fcis-2965	128	24	reduced	reduce	VERB
fcis-2965	128	25	by	by	ADP
fcis-2965	128	26	23.8	23.8	NUM
fcis-2965	128	27	%	%	NOUN
fcis-2965	128	28	compared	compare	VERB
fcis-2965	128	29	with	with	ADP
fcis-2965	128	30	that	that	PRON
fcis-2965	128	31	of	of	ADP
fcis-2965	128	32	the	the	DET
fcis-2965	128	33	dv	dv	PROPN
fcis-2965	128	34	-	-	PUNCT
fcis-2965	128	35	hop	hop	PROPN
fcis-2965	128	36	algorithm	algorithm	NOUN
fcis-2965	128	37	.	.	PUNCT
fcis-2965	129	1	when	when	SCONJ
fcis-2965	129	2	r	r	NOUN
fcis-2965	129	3	is	be	AUX
fcis-2965	129	4	greater	great	ADJ
fcis-2965	129	5	than	than	ADP
fcis-2965	129	6	35	35	NUM
fcis-2965	129	7	m	m	NOUN
fcis-2965	129	8	,	,	PUNCT
fcis-2965	129	9	although	although	SCONJ
fcis-2965	129	10	the	the	DET
fcis-2965	129	11	connectivity	connectivity	NOUN
fcis-2965	129	12	change	change	NOUN
fcis-2965	129	13	of	of	ADP
fcis-2965	129	14	the	the	DET
fcis-2965	129	15	network	network	NOUN
fcis-2965	129	16	increases	increase	VERB
fcis-2965	129	17	the	the	DET
fcis-2965	129	18	localization	localization	NOUN
fcis-2965	129	19	error	error	NOUN
fcis-2965	129	20	as	as	ADP
fcis-2965	129	21	the	the	DET
fcis-2965	129	22	communication	communication	NOUN
fcis-2965	129	23	radius	radius	NOUN
fcis-2965	129	24	increases	increase	NOUN
fcis-2965	129	25	.	.	PUNCT
fcis-2965	130	1	but	but	CCONJ
fcis-2965	130	2	then	then	ADV
fcis-2965	130	3	the	the	DET
fcis-2965	130	4	gapso	gapso	NOUN
fcis-2965	130	5	-	-	PUNCT
fcis-2965	130	6	hop	hop	NOUN
fcis-2965	130	7	algorithm	algorithm	NOUN
fcis-2965	130	8	is	be	AUX
fcis-2965	130	9	still	still	ADV
fcis-2965	130	10	46	46	NUM
fcis-2965	130	11	the	the	DET
fcis-2965	130	12	best	good	ADJ
fcis-2965	130	13	of	of	ADP
fcis-2965	130	14	all	all	DET
fcis-2965	130	15	the	the	DET
fcis-2965	130	16	algorithms	algorithm	NOUN
fcis-2965	130	17	.	.	PUNCT
fcis-2965	131	1	to	to	PART
fcis-2965	131	2	verify	verify	VERB
fcis-2965	131	3	the	the	DET
fcis-2965	131	4	effectiveness	effectiveness	NOUN
fcis-2965	131	5	and	and	CCONJ
fcis-2965	131	6	accuracy	accuracy	NOUN
fcis-2965	131	7	of	of	ADP
fcis-2965	131	8	the	the	DET
fcis-2965	131	9	gcpso	gcpso	NOUN
fcis-2965	131	10	-	-	PUNCT
fcis-2965	131	11	hop	hop	NOUN
fcis-2965	131	12	algorithm	algorithm	NOUN
fcis-2965	131	13	,	,	PUNCT
fcis-2965	131	14	six	six	NUM
fcis-2965	131	15	positioning	positioning	NOUN
fcis-2965	131	16	nodes	node	NOUN
fcis-2965	131	17	were	be	AUX
fcis-2965	131	18	selected	select	VERB
fcis-2965	131	19	in	in	ADP
fcis-2965	131	20	the	the	DET
fcis-2965	131	21	underground	underground	ADJ
fcis-2965	131	22	coal	coal	NOUN
fcis-2965	131	23	mine	mine	NOUN
fcis-2965	131	24	for	for	ADP
fcis-2965	131	25	the	the	DET
fcis-2965	131	26	validation	validation	NOUN
fcis-2965	131	27	experiment	experiment	NOUN
fcis-2965	131	28	,	,	PUNCT
fcis-2965	131	29	and	and	CCONJ
fcis-2965	131	30	the	the	DET
fcis-2965	131	31	experimental	experimental	ADJ
fcis-2965	131	32	data	datum	NOUN
fcis-2965	131	33	are	be	AUX
fcis-2965	131	34	shown	show	VERB
fcis-2965	131	35	in	in	ADP
fcis-2965	131	36	table	table	NOUN
fcis-2965	131	37	2	2	NUM
fcis-2965	131	38	.	.	PUNCT
fcis-2965	132	1	in	in	ADP
fcis-2965	132	2	table	table	NOUN
fcis-2965	132	3	2	2	NUM
fcis-2965	132	4	,	,	PUNCT
fcis-2965	132	5	the	the	DET
fcis-2965	132	6	actual	actual	ADJ
fcis-2965	132	7	coordinates	coordinate	NOUN
fcis-2965	132	8	of	of	ADP
fcis-2965	132	9	nodes	node	NOUN
fcis-2965	132	10	are	be	AUX
fcis-2965	132	11	(	(	PUNCT
fcis-2965	132	12	𝑥	𝑥	NOUN
fcis-2965	132	13	,	,	PUNCT
fcis-2965	132	14	𝑦	𝑦	NOUN
fcis-2965	132	15	)	)	PUNCT
fcis-2965	132	16	and	and	CCONJ
fcis-2965	132	17	the	the	DET
fcis-2965	132	18	measured	measure	VERB
fcis-2965	132	19	coordinates	coordinate	NOUN
fcis-2965	132	20	are	be	AUX
fcis-2965	132	21	(	(	PUNCT
fcis-2965	132	22	𝑥𝑒	𝑥𝑒	INTJ
fcis-2965	132	23	,	,	PUNCT
fcis-2965	132	24	𝑦𝑒	𝑦𝑒	PROPN
fcis-2965	132	25	)	)	PUNCT
fcis-2965	132	26	.	.	PUNCT
fcis-2965	133	1	from	from	ADP
fcis-2965	133	2	the	the	DET
fcis-2965	133	3	actual	actual	ADJ
fcis-2965	133	4	measurement	measurement	NOUN
fcis-2965	133	5	results	result	VERB
fcis-2965	133	6	,	,	PUNCT
fcis-2965	133	7	we	we	PRON
fcis-2965	133	8	can	can	AUX
fcis-2965	133	9	see	see	VERB
fcis-2965	133	10	that	that	SCONJ
fcis-2965	133	11	the	the	DET
fcis-2965	133	12	gcpso	gcpso	NOUN
fcis-2965	133	13	-	-	PUNCT
fcis-2965	133	14	hop	hop	NOUN
fcis-2965	133	15	algorithm	algorithm	NOUN
fcis-2965	133	16	is	be	AUX
fcis-2965	133	17	closer	close	ADJ
fcis-2965	133	18	to	to	ADP
fcis-2965	133	19	the	the	DET
fcis-2965	133	20	actual	actual	ADJ
fcis-2965	133	21	value	value	NOUN
fcis-2965	133	22	than	than	ADP
fcis-2965	133	23	other	other	ADJ
fcis-2965	133	24	algorithms	algorithm	NOUN
fcis-2965	133	25	,	,	PUNCT
fcis-2965	133	26	and	and	CCONJ
fcis-2965	133	27	thus	thus	ADV
fcis-2965	133	28	has	have	VERB
fcis-2965	133	29	smaller	small	ADJ
fcis-2965	133	30	localization	localization	NOUN
fcis-2965	133	31	error	error	NOUN
fcis-2965	133	32	and	and	CCONJ
fcis-2965	133	33	higher	high	ADJ
fcis-2965	133	34	accuracy	accuracy	NOUN
fcis-2965	133	35	.	.	PUNCT
fcis-2965	134	1	table	table	NOUN
fcis-2965	134	2	2	2	NUM
fcis-2965	134	3	.	.	PUNCT
fcis-2965	134	4	actual	actual	ADJ
fcis-2965	134	5	measurement	measurement	NOUN
fcis-2965	134	6	results	result	VERB
fcis-2965	134	7	5	5	NUM
fcis-2965	134	8	.	.	X
fcis-2965	134	9	conclusion	conclusion	NOUN
fcis-2965	134	10	an	an	DET
fcis-2965	134	11	improved	improved	ADJ
fcis-2965	134	12	dv	dv	PROPN
fcis-2965	134	13	-	-	ADJ
fcis-2965	134	14	hop	hop	PROPN
fcis-2965	134	15	algorithm	algorithm	NOUN
fcis-2965	134	16	is	be	AUX
fcis-2965	134	17	proposed	propose	VERB
fcis-2965	134	18	for	for	ADP
fcis-2965	134	19	the	the	DET
fcis-2965	134	20	identification	identification	NOUN
fcis-2965	134	21	of	of	ADP
fcis-2965	134	22	underground	underground	ADJ
fcis-2965	134	23	leakage	leakage	NOUN
fcis-2965	134	24	accidents	accident	NOUN
fcis-2965	134	25	.	.	PUNCT
fcis-2965	135	1	firstly	firstly	ADV
fcis-2965	135	2	,	,	PUNCT
fcis-2965	135	3	through	through	ADP
fcis-2965	135	4	the	the	DET
fcis-2965	135	5	anchor	anchor	NOUN
fcis-2965	135	6	node	node	PROPN
fcis-2965	135	7	optimization	optimization	NOUN
fcis-2965	135	8	scheme	scheme	NOUN
fcis-2965	135	9	,	,	PUNCT
fcis-2965	135	10	the	the	DET
fcis-2965	135	11	defect	defect	NOUN
fcis-2965	135	12	of	of	ADP
fcis-2965	135	13	the	the	DET
fcis-2965	135	14	anchor	anchor	NOUN
fcis-2965	135	15	node	node	NOUN
fcis-2965	135	16	combination	combination	NOUN
fcis-2965	135	17	is	be	AUX
fcis-2965	135	18	avoided	avoid	VERB
fcis-2965	135	19	.	.	PUNCT
fcis-2965	136	1	on	on	ADP
fcis-2965	136	2	the	the	DET
fcis-2965	136	3	basis	basis	NOUN
fcis-2965	136	4	of	of	ADP
fcis-2965	136	5	the	the	DET
fcis-2965	136	6	particle	particle	NOUN
fcis-2965	136	7	swarm	swarm	NOUN
fcis-2965	136	8	optimization	optimization	NOUN
fcis-2965	136	9	algorithm	algorithm	NOUN
fcis-2965	136	10	,	,	PUNCT
fcis-2965	136	11	a	a	DET
fcis-2965	136	12	genetic	genetic	ADJ
fcis-2965	136	13	chaotic	chaotic	ADJ
fcis-2965	136	14	particle	particle	NOUN
fcis-2965	136	15	swarm	swarm	NOUN
fcis-2965	136	16	optimization	optimization	NOUN
fcis-2965	136	17	algorithm	algorithm	NOUN
fcis-2965	136	18	(	(	PUNCT
fcis-2965	136	19	gcpso	gcpso	NOUN
fcis-2965	136	20	)	)	PUNCT
fcis-2965	136	21	is	be	AUX
fcis-2965	136	22	proposed	propose	VERB
fcis-2965	136	23	to	to	PART
fcis-2965	136	24	correct	correct	VERB
fcis-2965	136	25	the	the	DET
fcis-2965	136	26	estimated	estimate	VERB
fcis-2965	136	27	position	position	NOUN
fcis-2965	136	28	of	of	ADP
fcis-2965	136	29	dv	dv	PROPN
fcis-2965	136	30	-	-	PROPN
fcis-2965	136	31	hop	hop	PROPN
fcis-2965	136	32	.	.	PUNCT
fcis-2965	137	1	experimental	experimental	ADJ
fcis-2965	137	2	simulations	simulation	NOUN
fcis-2965	137	3	show	show	VERB
fcis-2965	137	4	that	that	SCONJ
fcis-2965	137	5	gcpso	gcpso	NOUN
fcis-2965	137	6	-	-	PUNCT
fcis-2965	137	7	hop	hop	NOUN
fcis-2965	137	8	algorithm	algorithm	NOUN
fcis-2965	137	9	has	have	VERB
fcis-2965	137	10	a	a	DET
fcis-2965	137	11	better	well	ADJ
fcis-2965	137	12	optimization	optimization	NOUN
fcis-2965	137	13	effect	effect	NOUN
fcis-2965	137	14	than	than	ADP
fcis-2965	137	15	dv	dv	PROPN
fcis-2965	137	16	-	-	PUNCT
fcis-2965	137	17	hop	hop	PROPN
fcis-2965	137	18	algorithm	algorithm	NOUN
fcis-2965	137	19	in	in	ADP
fcis-2965	137	20	reducing	reduce	VERB
fcis-2965	137	21	the	the	DET
fcis-2965	137	22	average	average	ADJ
fcis-2965	137	23	positioning	positioning	NOUN
fcis-2965	137	24	error	error	NOUN
fcis-2965	137	25	and	and	CCONJ
fcis-2965	137	26	improving	improve	VERB
fcis-2965	137	27	the	the	DET
fcis-2965	137	28	positioning	positioning	NOUN
fcis-2965	137	29	accuracy	accuracy	NOUN
fcis-2965	137	30	,	,	PUNCT
fcis-2965	137	31	which	which	PRON
fcis-2965	137	32	proves	prove	VERB
fcis-2965	137	33	the	the	DET
fcis-2965	137	34	feasibility	feasibility	NOUN
fcis-2965	137	35	and	and	CCONJ
fcis-2965	137	36	effectiveness	effectiveness	NOUN
fcis-2965	137	37	of	of	ADP
fcis-2965	137	38	gcpso	gcpso	ADJ
fcis-2965	137	39	-	-	PUNCT
fcis-2965	137	40	hop	hop	NOUN
fcis-2965	137	41	algorithm	algorithm	NOUN
fcis-2965	137	42	in	in	ADP
fcis-2965	137	43	the	the	DET
fcis-2965	137	44	underground	underground	PROPN
fcis-2965	137	45	safety	safety	NOUN
fcis-2965	137	46	supervision	supervision	NOUN
fcis-2965	137	47	process	process	NOUN
fcis-2965	137	48	in	in	ADP
fcis-2965	137	49	coal	coal	NOUN
fcis-2965	137	50	mines	mine	NOUN
fcis-2965	137	51	.	.	PUNCT
fcis-2965	138	1	acknowledgements	acknowledgement	NOUN
fcis-2965	138	2	the	the	DET
fcis-2965	138	3	scientific	scientific	ADJ
fcis-2965	138	4	research	research	NOUN
fcis-2965	138	5	project	project	NOUN
fcis-2965	138	6	"	"	PUNCT
fcis-2965	138	7	intelligent	intelligent	ADJ
fcis-2965	138	8	clothes	clothe	NOUN
fcis-2965	138	9	dryer	dryer	NOUN
fcis-2965	138	10	based	base	VERB
fcis-2965	138	11	on	on	ADP
fcis-2965	138	12	wireless	wireless	ADJ
fcis-2965	138	13	sensor	sensor	NOUN
fcis-2965	138	14	network	network	NOUN
fcis-2965	138	15	"	"	PUNCT
fcis-2965	138	16	of	of	ADP
fcis-2965	138	17	zhongshan	zhongshan	PROPN
fcis-2965	138	18	polytechnic	polytechnic	PROPN
fcis-2965	138	19	in	in	ADP
fcis-2965	138	20	2022	2022	NUM
fcis-2965	138	21	(	(	PUNCT
fcis-2965	138	22	project	project	NOUN
fcis-2965	138	23	no	no	INTJ
fcis-2965	138	24	.	.	PUNCT
fcis-2965	138	25	:	:	PUNCT
fcis-2965	138	26	kyb2204	kyb2204	X
fcis-2965	138	27	)	)	PUNCT
fcis-2965	138	28	.	.	PUNCT
fcis-2965	139	1	references	reference	NOUN
fcis-2965	139	2	[	[	X
fcis-2965	139	3	1	1	X
fcis-2965	139	4	]	]	X
fcis-2965	139	5	debessu	debessu	PROPN
fcis-2965	139	6	y	y	PROPN
fcis-2965	139	7	g，wu	g，wu	PROPN
fcis-2965	139	8	h	h	NOUN
fcis-2965	139	9	c	c	NOUN
fcis-2965	139	10	.modified	.modified	DET
fcis-2965	139	11	turbo	turbo	NOUN
fcis-2965	139	12	decoder	decoder	NOUN
fcis-2965	139	13	for	for	ADP
fcis-2965	139	14	location	location	NOUN
fcis-2965	139	15	in	in	ADP
fcis-2965	139	16	single	single	ADJ
fcis-2965	139	17	-	-	PUNCT
fcis-2965	139	18	frequency	frequency	NOUN
fcis-2965	139	19	networks[c]/	networks[c]/	NOUN
fcis-2965	139	20	/ieee	/ieee	PUNCT
fcis-2965	139	21	international	international	ADJ
fcis-2965	139	22	symposium	symposium	NOUN
fcis-2965	139	23	on	on	ADP
fcis-2965	139	24	bmsb，2012:1	bmsb，2012:1	PROPN
fcis-2965	139	25	-	-	PUNCT
fcis-2965	139	26	5	5	NUM
fcis-2965	139	27	.	.	PUNCT
fcis-2965	140	1	[	[	X
fcis-2965	140	2	2	2	NUM
fcis-2965	140	3	]	]	PUNCT
fcis-2965	140	4	stone	stone	NOUN
fcis-2965	140	5	,	,	PUNCT
fcis-2965	140	6	jia	jia	PROPN
fcis-2965	140	7	chuanjiang	chuanjiang	PROPN
fcis-2965	140	8	,	,	PUNCT
fcis-2965	140	9	liang	liang	PROPN
fcis-2965	140	10	huanhuan.improved	huanhuan.improve	VERB
fcis-2965	140	11	wireless	wireless	ADJ
fcis-2965	140	12	sensor	sensor	NOUN
fcis-2965	140	13	network	network	NOUN
fcis-2965	140	14	dv	dv	PROPN
fcis-2965	140	15	-	-	ADJ
fcis-2965	140	16	hop	hop	PROPN
fcis-2965	140	17	positioning	positioning	NOUN
fcis-2965	140	18	algorithm	algorithm	NOUN
fcis-2965	140	19	[	[	X
fcis-2965	140	20	j	j	X
fcis-2965	140	21	]	]	X
fcis-2965	140	22	journal	journal	NOUN
fcis-2965	140	23	of	of	ADP
fcis-2965	140	24	sensing	sense	VERB
fcis-2965	140	25	technology	technology	NOUN
fcis-2965	140	26	,	,	PUNCT
fcis-2965	140	27	2011,24	2011,24	PROPN
fcis-2965	140	28	(	(	PUNCT
fcis-2965	140	29	1	1	NUM
fcis-2965	140	30	):	):	PUNCT
fcis-2965	140	31	83	83	NUM
fcis-2965	140	32	-	-	SYM
fcis-2965	140	33	87	87	NUM
fcis-2965	140	34	.	.	PUNCT
fcis-2965	141	1	[	[	X
fcis-2965	141	2	3	3	X
fcis-2965	141	3	]	]	X
fcis-2965	141	4	ye	ye	NUM
fcis-2965	141	5	rong	rong	PROPN
fcis-2965	141	6	,	,	PUNCT
fcis-2965	141	7	zhao	zhao	PROPN
fcis-2965	141	8	lingkai	lingkai	PROPN
fcis-2965	141	9	.	.	PUNCT
fcis-2965	142	1	wireless	wireless	ADJ
fcis-2965	142	2	sensor	sensor	NOUN
fcis-2965	142	3	network	network	NOUN
fcis-2965	142	4	positioning	positioning	NOUN
fcis-2965	142	5	algorithm	algorithm	NOUN
fcis-2965	142	6	based	base	VERB
fcis-2965	142	7	on	on	ADP
fcis-2965	142	8	ant	ant	ADJ
fcis-2965	142	9	colony	colony	NOUN
fcis-2965	142	10	particle	particle	NOUN
fcis-2965	142	11	mixture	mixture	NOUN
fcis-2965	142	12	[	[	X
fcis-2965	142	13	j	j	X
fcis-2965	142	14	]	]	X
fcis-2965	142	15	.	.	PUNCT
fcis-2965	143	1	computer	computer	NOUN
fcis-2965	143	2	measurement	measurement	NOUN
fcis-2965	143	3	and	and	CCONJ
fcis-2965	143	4	control	control	NOUN
fcis-2965	143	5	,	,	PUNCT
fcis-2965	143	6	2011,19	2011,19	PROPN
fcis-2965	143	7	(	(	PUNCT
fcis-2965	143	8	3	3	NUM
fcis-2965	143	9	):	):	PUNCT
fcis-2965	143	10	732	732	NUM
fcis-2965	143	11	-	-	SYM
fcis-2965	143	12	735	735	NUM
fcis-2965	143	13	.	.	PUNCT
fcis-2965	144	1	[	[	X
fcis-2965	144	2	4	4	NUM
fcis-2965	144	3	]	]	X
fcis-2965	144	4	li	li	PROPN
fcis-2965	144	5	yahong	yahong	PROPN
fcis-2965	144	6	,	,	PUNCT
fcis-2965	144	7	feng	feng	PROPN
fcis-2965	144	8	donghua	donghua	PROPN
fcis-2965	144	9	.	.	PUNCT
fcis-2965	145	1	location	location	NOUN
fcis-2965	145	2	algorithm	algorithm	NOUN
fcis-2965	145	3	based	base	VERB
fcis-2965	145	4	on	on	ADP
fcis-2965	145	5	the	the	DET
fcis-2965	145	6	internet	internet	NOUN
fcis-2965	145	7	of	of	ADP
fcis-2965	145	8	things	thing	NOUN
fcis-2965	146	1	[	[	X
fcis-2965	146	2	j	j	X
fcis-2965	146	3	]	]	X
fcis-2965	146	4	.	.	PUNCT
fcis-2965	147	1	computer	computer	NOUN
fcis-2965	147	2	measurement	measurement	NOUN
fcis-2965	147	3	and	and	CCONJ
fcis-2965	147	4	control	control	NOUN
fcis-2965	147	5	,	,	PUNCT
fcis-2965	147	6	2012,20	2012,20	NUM
fcis-2965	147	7	(	(	PUNCT
fcis-2965	147	8	11	11	NUM
fcis-2965	147	9	):	):	PUNCT
fcis-2965	147	10	2916	2916	NUM
fcis-2965	147	11	-	-	SYM
fcis-2965	147	12	2918	2918	NUM
fcis-2965	147	13	.	.	PUNCT
fcis-2965	148	1	[	[	X
fcis-2965	148	2	5	5	X
fcis-2965	148	3	]	]	X
fcis-2965	148	4	ge	ge	PROPN
fcis-2965	148	5	yu	yu	PROPN
fcis-2965	148	6	,	,	PUNCT
fcis-2965	148	7	wang	wang	PROPN
fcis-2965	148	8	xueping	xueping	PROPN
fcis-2965	148	9	,	,	PUNCT
fcis-2965	148	10	liang	liang	PROPN
fcis-2965	148	11	jing	jing	PROPN
fcis-2965	148	12	.	.	PUNCT
fcis-2965	149	1	dv	dv	PROPN
fcis-2965	149	2	-	-	PUNCT
fcis-2965	149	3	hop	hop	PROPN
fcis-2965	149	4	localization	localization	NOUN
fcis-2965	149	5	improvement	improvement	NOUN
fcis-2965	149	6	based	base	VERB
fcis-2965	149	7	on	on	ADP
fcis-2965	149	8	frog	frog	ADJ
fcis-2965	149	9	algorithm	algorithm	NOUN
fcis-2965	150	1	[	[	X
fcis-2965	150	2	j	j	X
fcis-2965	150	3	]	]	X
fcis-2965	150	4	.	.	PUNCT
fcis-2965	151	1	computer	computer	NOUN
fcis-2965	151	2	applications	application	NOUN
fcis-2965	151	3	,	,	PUNCT
fcis-2965	151	4	2011,31	2011,31	NUM
fcis-2965	151	5	(	(	PUNCT
fcis-2965	151	6	4	4	NUM
fcis-2965	151	7	):	):	PUNCT
fcis-2965	151	8	922	922	NUM
fcis-2965	151	9	-	-	SYM
fcis-2965	151	10	925	925	NUM
fcis-2965	151	11	.	.	PUNCT
fcis-2965	152	1	[	[	X
fcis-2965	152	2	6	6	NUM
fcis-2965	152	3	]	]	PUNCT
fcis-2965	152	4	yi	yi	NOUN
fcis-2965	152	5	t	t	PROPN
fcis-2965	152	6	t，fang	t，fang	PROPN
fcis-2965	152	7	z	z	PROPN
fcis-2965	153	1	y，li	y，li	NOUN
fcis-2965	153	2	ｒ	ｒ	NOUN
fcis-2965	153	3	x	x	X
fcis-2965	153	4	.ｒmadv	.ｒmadv	NOUN
fcis-2965	153	5	-	-	PUNCT
fcis-2965	153	6	hop	hop	NOUN
fcis-2965	153	7	:	:	PUNCT
fcis-2965	153	8	an	an	DET
fcis-2965	153	9	improved	improved	ADJ
fcis-2965	153	10	dv	dv	PROPN
fcis-2965	153	11	-	-	ADJ
fcis-2965	153	12	hop	hop	NOUN
fcis-2965	153	13	localization	localization	NOUN
fcis-2965	153	14	algorithm[c]/	algorithm[c]/	PROPN
fcis-2965	153	15	/proceedings	/proceedings	PUNCT
fcis-2965	153	16	of	of	ADP
fcis-2965	153	17	the	the	DET
fcis-2965	153	18	2010	2010	NUM
fcis-2965	153	19	seventh	seventh	ADJ
fcis-2965	153	20	international	international	ADJ
fcis-2965	153	21	conference	conference	NOUN
fcis-2965	153	22	on	on	ADP
fcis-2965	153	23	information	information	NOUN
fcis-2965	153	24	technology	technology	NOUN
fcis-2965	153	25	:	:	PUNCT
fcis-2965	153	26	new	new	ADJ
fcis-2965	153	27	generation	generation	NOUN
fcis-2965	153	28	，	，	PUNCT
fcis-2965	153	29	las	las	PROPN
fcis-2965	153	30	vegas	vegas	PROPN
fcis-2965	153	31	，	，	PROPN
fcis-2965	153	32	nevada	nevada	PROPN
fcis-2965	153	33	，	，	PROPN
fcis-2965	153	34	2010:939	2010:939	NUM
fcis-2965	153	35	-	-	SYM
fcis-2965	153	36	943	943	NUM
fcis-2965	153	37	.	.	PUNCT
fcis-2965	154	1	[	[	X
fcis-2965	154	2	7	7	X
fcis-2965	154	3	]	]	X
fcis-2965	154	4	jiang	jiang	PROPN
fcis-2965	154	5	yusheng	yusheng	PROPN
fcis-2965	154	6	,	,	PUNCT
fcis-2965	154	7	feng	feng	PROPN
fcis-2965	154	8	yanhe	yanhe	PROPN
fcis-2965	154	9	.	.	PUNCT
fcis-2965	155	1	a	a	DET
fcis-2965	155	2	new	new	ADJ
fcis-2965	155	3	dv	dv	PROPN
fcis-2965	155	4	-	-	ADJ
fcis-2965	155	5	hop	hop	PROPN
fcis-2965	155	6	localization	localization	NOUN
fcis-2965	155	7	algorithm	algorithm	NOUN
fcis-2965	156	1	[	[	X
fcis-2965	156	2	j	j	X
fcis-2965	156	3	]	]	X
fcis-2965	156	4	.	.	PUNCT
fcis-2965	157	1	journal	journal	NOUN
fcis-2965	157	2	of	of	ADP
fcis-2965	157	3	sensing	sense	VERB
fcis-2965	157	4	technology	technology	NOUN
fcis-2965	157	5	,	,	PUNCT
fcis-2965	157	6	2010,23	2010,23	PROPN
fcis-2965	157	7	(	(	PUNCT
fcis-2965	157	8	12	12	NUM
fcis-2965	157	9	):	):	PUNCT
fcis-2965	157	10	1815	1815	NUM
fcis-2965	157	11	-	-	SYM
fcis-2965	157	12	1819	1819	NUM
fcis-2965	157	13	.	.	PUNCT
fcis-2965	158	1	[	[	X
fcis-2965	158	2	8	8	NUM
fcis-2965	158	3	]	]	PUNCT
fcis-2965	158	4	wang	wang	PROPN
fcis-2965	158	5	chaonan	chaonan	PROPN
fcis-2965	158	6	,	,	PUNCT
fcis-2965	158	7	ding	ding	NOUN
fcis-2965	158	8	enjie	enjie	NOUN
fcis-2965	158	9	,	,	PUNCT
fcis-2965	158	10	zhou	zhou	PROPN
fcis-2965	158	11	qiang	qiang	PROPN
fcis-2965	158	12	,	,	PUNCT
fcis-2965	158	13	et	et	PROPN
fcis-2965	158	14	al	al	PROPN
fcis-2965	158	15	.	.	PUNCT
fcis-2965	158	16	application	application	NOUN
fcis-2965	158	17	of	of	ADP
fcis-2965	158	18	wireless	wireless	ADJ
fcis-2965	158	19	sensor	sensor	NOUN
fcis-2965	158	20	network	network	NOUN
fcis-2965	158	21	[	[	X
fcis-2965	158	22	j	j	X
fcis-2965	158	23	]	]	X
fcis-2965	158	24	.	.	PUNCT
fcis-2965	159	1	journal	journal	PROPN
fcis-2965	159	2	of	of	ADP
fcis-2965	159	3	computer	computer	NOUN
fcis-2965	159	4	-	-	PUNCT
fcis-2965	159	5	aided	aid	VERB
fcis-2965	159	6	design	design	NOUN
fcis-2965	159	7	and	and	CCONJ
fcis-2965	159	8	graphics	graphic	NOUN
fcis-2965	159	9	,	,	PUNCT
fcis-2965	159	10	2007,19	2007,19	NUM
fcis-2965	159	11	(	(	PUNCT
fcis-2965	159	12	3	3	NUM
fcis-2965	159	13	):	):	PUNCT
fcis-2965	159	14	392	392	NUM
fcis-2965	159	15	-	-	SYM
fcis-2965	159	16	397	397	NUM
fcis-2965	159	17	.	.	PUNCT
fcis-2965	160	1	[	[	X
fcis-2965	160	2	9	9	NUM
fcis-2965	160	3	]	]	X
fcis-2965	160	4	chen	chen	PROPN
fcis-2965	160	5	xingzhou	xingzhou	PROPN
fcis-2965	160	6	,	,	PUNCT
fcis-2965	160	7	liao	liao	PROPN
fcis-2965	160	8	minghong	minghong	PROPN
fcis-2965	160	9	,	,	PUNCT
fcis-2965	160	10	lin	lin	PROPN
fcis-2965	160	11	jianhua	jianhua	PROPN
fcis-2965	160	12	.	.	PUNCT
fcis-2965	161	1	improvement	improvement	NOUN
fcis-2965	161	2	of	of	ADP
fcis-2965	161	3	node	node	ADJ
fcis-2965	161	4	localization	localization	NOUN
fcis-2965	161	5	of	of	ADP
fcis-2965	161	6	wireless	wireless	ADJ
fcis-2965	161	7	sensor	sensor	NOUN
fcis-2965	161	8	network	network	NOUN
fcis-2965	161	9	based	base	VERB
fcis-2965	161	10	on	on	ADP
fcis-2965	161	11	particle	particle	NOUN
fcis-2965	161	12	swarm	swarm	NOUN
fcis-2965	161	13	optimization	optimization	NOUN
fcis-2965	161	14	[	[	X
fcis-2965	161	15	j	j	X
fcis-2965	161	16	]	]	X
fcis-2965	161	17	.	.	PUNCT
fcis-2965	162	1	computer	computer	NOUN
fcis-2965	162	2	application	application	NOUN
fcis-2965	162	3	,	,	PUNCT
fcis-2965	162	4	2010,30	2010,30	NUM
fcis-2965	162	5	(	(	PUNCT
fcis-2965	162	6	7	7	NUM
fcis-2965	162	7	):	):	PUNCT
fcis-2965	162	8	1736	1736	NUM
fcis-2965	162	9	-	-	SYM
fcis-2965	162	10	1738	1738	NUM
fcis-2965	162	11	.	.	PUNCT
fcis-2965	163	1	[	[	X
fcis-2965	163	2	10	10	NUM
fcis-2965	163	3	]	]	PUNCT
fcis-2965	163	4	side	side	NOUN
fcis-2965	163	5	exuberant	exuberant	ADJ
fcis-2965	163	6	,	,	PUNCT
fcis-2965	163	7	zeng	zeng	PROPN
fcis-2965	163	8	jing	jing	PROPN
fcis-2965	163	9	.	.	PUNCT
fcis-2965	164	1	research	research	NOUN
fcis-2965	164	2	on	on	ADP
fcis-2965	164	3	non	non	ADJ
fcis-2965	164	4	-	-	ADJ
fcis-2965	164	5	ranging	ranging	ADJ
fcis-2965	164	6	node	node	ADJ
fcis-2965	164	7	localization	localization	NOUN
fcis-2965	164	8	algorithm	algorithm	NOUN
fcis-2965	164	9	based	base	VERB
fcis-2965	164	10	onquantum	onquantum	NOUN
fcis-2965	164	11	genetic	genetic	ADJ
fcis-2965	164	12	algorithm	algorithm	NOUN
fcis-2965	165	1	[	[	X
fcis-2965	165	2	j	j	X
fcis-2965	165	3	]	]	X
fcis-2965	165	4	.	.	PUNCT
fcis-2965	166	1	computer	computer	NOUN
fcis-2965	166	2	application	application	NOUN
fcis-2965	166	3	and	and	CCONJ
fcis-2965	166	4	software	software	NOUN
fcis-2965	166	5	,	,	PUNCT
fcis-2965	166	6	2013,30	2013,30	NUM
fcis-2965	166	7	(	(	PUNCT
fcis-2965	166	8	2	2	NUM
fcis-2965	166	9	):	):	PUNCT
fcis-2965	166	10	180	180	NUM
fcis-2965	166	11	-	-	SYM
fcis-2965	166	12	183	183	NUM
fcis-2965	166	13	.	.	PUNCT