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ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks

We study the problem of three-dimensional localization of the underwater mobile sensor networks using only range measurements without GPS devices. This problem is challenging because sensor nodes often drift with unknown water currents. Consequently, the moving direction and speed of a sensor node c...

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Detalles Bibliográficos
Autores principales: Zhou, Feng, Li, Yushi, Wu, Hejun, Ding, Zhimin, Li, Xiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472149/
https://www.ncbi.nlm.nih.gov/pubmed/30909417
http://dx.doi.org/10.3390/s19061414
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author Zhou, Feng
Li, Yushi
Wu, Hejun
Ding, Zhimin
Li, Xiying
author_facet Zhou, Feng
Li, Yushi
Wu, Hejun
Ding, Zhimin
Li, Xiying
author_sort Zhou, Feng
collection PubMed
description We study the problem of three-dimensional localization of the underwater mobile sensor networks using only range measurements without GPS devices. This problem is challenging because sensor nodes often drift with unknown water currents. Consequently, the moving direction and speed of a sensor node cannot be predicted. Moreover, the motion devices of the sensor nodes are not accurate in underwater environments. Therefore, we propose an adaptive localization scheme, ProLo, taking these uncertainties into consideration. This scheme applies the rigidity theory and maintains a virtual rigid structure through projection. We have proved the correctness of this three-dimensional localization scheme and also validated it using simulation. The results demonstrate that ProLo is promising for real mobile underwater sensor networks with various noises and errors.
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spelling pubmed-64721492019-04-26 ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks Zhou, Feng Li, Yushi Wu, Hejun Ding, Zhimin Li, Xiying Sensors (Basel) Article We study the problem of three-dimensional localization of the underwater mobile sensor networks using only range measurements without GPS devices. This problem is challenging because sensor nodes often drift with unknown water currents. Consequently, the moving direction and speed of a sensor node cannot be predicted. Moreover, the motion devices of the sensor nodes are not accurate in underwater environments. Therefore, we propose an adaptive localization scheme, ProLo, taking these uncertainties into consideration. This scheme applies the rigidity theory and maintains a virtual rigid structure through projection. We have proved the correctness of this three-dimensional localization scheme and also validated it using simulation. The results demonstrate that ProLo is promising for real mobile underwater sensor networks with various noises and errors. MDPI 2019-03-22 /pmc/articles/PMC6472149/ /pubmed/30909417 http://dx.doi.org/10.3390/s19061414 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
Zhou, Feng
Li, Yushi
Wu, Hejun
Ding, Zhimin
Li, Xiying
ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks
title ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks
title_full ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks
title_fullStr ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks
title_full_unstemmed ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks
title_short ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks
title_sort prolo: localization via projection for three-dimensional mobile underwater sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472149/
https://www.ncbi.nlm.nih.gov/pubmed/30909417
http://dx.doi.org/10.3390/s19061414
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