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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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 |
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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 |
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