A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks

In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation me...
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Autor*in:	Yanlong Sun [verfasserIn] Yazhou Yuan [verfasserIn] Qimin Xu [verfasserIn] Changchun Hua [verfasserIn] Xinping Guan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	underwater wireless sensor networks (uwsns) localization mobile anchor node rssi

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 19(2019), 20, p 4369
Übergeordnetes Werk:	volume:19 ; year:2019 ; number:20, p 4369

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s19204369

Katalog-ID:	DOAJ029806739

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520			\|a In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes.
650		4	\|a underwater wireless sensor networks (uwsns)
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allfields	10.3390/s19204369 doi (DE-627)DOAJ029806739 (DE-599)DOAJ928c80f4ed084d979d35d4445064b6a4 DE-627 ger DE-627 rakwb eng TP1-1185 Yanlong Sun verfasserin aut A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes. underwater wireless sensor networks (uwsns) localization mobile anchor node rssi Chemical technology Yazhou Yuan verfasserin aut Qimin Xu verfasserin aut Changchun Hua verfasserin aut Xinping Guan verfasserin aut In Sensors MDPI AG, 2003 19(2019), 20, p 4369 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:20, p 4369 https://doi.org/10.3390/s19204369 kostenfrei https://doaj.org/article/928c80f4ed084d979d35d4445064b6a4 kostenfrei https://www.mdpi.com/1424-8220/19/20/4369 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 20, p 4369
spelling	10.3390/s19204369 doi (DE-627)DOAJ029806739 (DE-599)DOAJ928c80f4ed084d979d35d4445064b6a4 DE-627 ger DE-627 rakwb eng TP1-1185 Yanlong Sun verfasserin aut A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes. underwater wireless sensor networks (uwsns) localization mobile anchor node rssi Chemical technology Yazhou Yuan verfasserin aut Qimin Xu verfasserin aut Changchun Hua verfasserin aut Xinping Guan verfasserin aut In Sensors MDPI AG, 2003 19(2019), 20, p 4369 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:20, p 4369 https://doi.org/10.3390/s19204369 kostenfrei https://doaj.org/article/928c80f4ed084d979d35d4445064b6a4 kostenfrei https://www.mdpi.com/1424-8220/19/20/4369 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 20, p 4369
allfields_unstemmed	10.3390/s19204369 doi (DE-627)DOAJ029806739 (DE-599)DOAJ928c80f4ed084d979d35d4445064b6a4 DE-627 ger DE-627 rakwb eng TP1-1185 Yanlong Sun verfasserin aut A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes. underwater wireless sensor networks (uwsns) localization mobile anchor node rssi Chemical technology Yazhou Yuan verfasserin aut Qimin Xu verfasserin aut Changchun Hua verfasserin aut Xinping Guan verfasserin aut In Sensors MDPI AG, 2003 19(2019), 20, p 4369 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:20, p 4369 https://doi.org/10.3390/s19204369 kostenfrei https://doaj.org/article/928c80f4ed084d979d35d4445064b6a4 kostenfrei https://www.mdpi.com/1424-8220/19/20/4369 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 20, p 4369
allfieldsGer	10.3390/s19204369 doi (DE-627)DOAJ029806739 (DE-599)DOAJ928c80f4ed084d979d35d4445064b6a4 DE-627 ger DE-627 rakwb eng TP1-1185 Yanlong Sun verfasserin aut A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes. underwater wireless sensor networks (uwsns) localization mobile anchor node rssi Chemical technology Yazhou Yuan verfasserin aut Qimin Xu verfasserin aut Changchun Hua verfasserin aut Xinping Guan verfasserin aut In Sensors MDPI AG, 2003 19(2019), 20, p 4369 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:20, p 4369 https://doi.org/10.3390/s19204369 kostenfrei https://doaj.org/article/928c80f4ed084d979d35d4445064b6a4 kostenfrei https://www.mdpi.com/1424-8220/19/20/4369 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 20, p 4369
allfieldsSound	10.3390/s19204369 doi (DE-627)DOAJ029806739 (DE-599)DOAJ928c80f4ed084d979d35d4445064b6a4 DE-627 ger DE-627 rakwb eng TP1-1185 Yanlong Sun verfasserin aut A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes. underwater wireless sensor networks (uwsns) localization mobile anchor node rssi Chemical technology Yazhou Yuan verfasserin aut Qimin Xu verfasserin aut Changchun Hua verfasserin aut Xinping Guan verfasserin aut In Sensors MDPI AG, 2003 19(2019), 20, p 4369 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:20, p 4369 https://doi.org/10.3390/s19204369 kostenfrei https://doaj.org/article/928c80f4ed084d979d35d4445064b6a4 kostenfrei https://www.mdpi.com/1424-8220/19/20/4369 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 20, p 4369
language	English
source	In Sensors 19(2019), 20, p 4369 volume:19 year:2019 number:20, p 4369
sourceStr	In Sensors 19(2019), 20, p 4369 volume:19 year:2019 number:20, p 4369
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	underwater wireless sensor networks (uwsns) localization mobile anchor node rssi Chemical technology
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authorswithroles_txt_mv	Yanlong Sun @@aut@@ Yazhou Yuan @@aut@@ Qimin Xu @@aut@@ Changchun Hua @@aut@@ Xinping Guan @@aut@@
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callnumber-first	T - Technology
author	Yanlong Sun
spellingShingle	Yanlong Sun misc TP1-1185 misc underwater wireless sensor networks (uwsns) misc localization misc mobile anchor node misc rssi misc Chemical technology A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
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topic_title	TP1-1185 A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks underwater wireless sensor networks (uwsns) localization mobile anchor node rssi
topic	misc TP1-1185 misc underwater wireless sensor networks (uwsns) misc localization misc mobile anchor node misc rssi misc Chemical technology
topic_unstemmed	misc TP1-1185 misc underwater wireless sensor networks (uwsns) misc localization misc mobile anchor node misc rssi misc Chemical technology
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title	A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
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title_full	A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
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title_sort	mobile anchor node assisted rssi localization scheme in underwater wireless sensor networks
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title_auth	A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
abstract	In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes.
abstractGer	In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes.
abstract_unstemmed	In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes.
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title_short	A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
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