Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Yanlong, Yuan, Yazhou, Xu, Qimin, Hua, Changchun, Guan, Xinping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832286/
https://www.ncbi.nlm.nih.gov/pubmed/31658608
http://dx.doi.org/10.3390/s19204369
_version_ 1783466135979556864
author Sun, Yanlong
Yuan, Yazhou
Xu, Qimin
Hua, Changchun
Guan, Xinping
author_facet Sun, Yanlong
Yuan, Yazhou
Xu, Qimin
Hua, Changchun
Guan, Xinping
author_sort Sun, Yanlong
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6832286
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68322862019-11-21 A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks Sun, Yanlong Yuan, Yazhou Xu, Qimin Hua, Changchun Guan, Xinping Sensors (Basel) Article 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. MDPI 2019-10-10 /pmc/articles/PMC6832286/ /pubmed/31658608 http://dx.doi.org/10.3390/s19204369 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Yanlong
Yuan, Yazhou
Xu, Qimin
Hua, Changchun
Guan, Xinping
A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
title A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
title_full A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
title_fullStr A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
title_full_unstemmed A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
title_short A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks
title_sort mobile anchor node assisted rssi localization scheme in underwater wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832286/
https://www.ncbi.nlm.nih.gov/pubmed/31658608
http://dx.doi.org/10.3390/s19204369
work_keys_str_mv AT sunyanlong amobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT yuanyazhou amobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT xuqimin amobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT huachangchun amobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT guanxinping amobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT sunyanlong mobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT yuanyazhou mobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT xuqimin mobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT huachangchun mobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks
AT guanxinping mobileanchornodeassistedrssilocalizationschemeinunderwaterwirelesssensornetworks