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A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs

As one of the important facilities for marine exploration, as well as environment monitoring, access control, and security, underwater wireless sensor networks (UWSNs) are widely used in related military and civil fields, since the sensor node localization is the basis of UWSNs’ application in vario...

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Autores principales: Luo, Junhai, Yang, Yang, Wang, Zhiyan, Chen, Yanping, Wu, Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435906/
https://www.ncbi.nlm.nih.gov/pubmed/32752059
http://dx.doi.org/10.3390/s20154293
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author Luo, Junhai
Yang, Yang
Wang, Zhiyan
Chen, Yanping
Wu, Man
author_facet Luo, Junhai
Yang, Yang
Wang, Zhiyan
Chen, Yanping
Wu, Man
author_sort Luo, Junhai
collection PubMed
description As one of the important facilities for marine exploration, as well as environment monitoring, access control, and security, underwater wireless sensor networks (UWSNs) are widely used in related military and civil fields, since the sensor node localization is the basis of UWSNs’ application in various related fields. Therefore, the research of localization algorithms based on UWSNs has gradually become one of the research hotspots today. However, unlike terrestrial wireless sensor networks (WSNs), many terrestrial monitoring and localization technologies cannot be directly applied to the underwater environment. Moreover, due to the complexity and particularity of the underwater environment, the localization of underwater sensor nodes still faces challenges, such as the localization ratio of sensor nodes, time synchronization, localization accuracy, and the mobility of nodes. In this paper, we propose a mobility-assisted localization scheme with time synchronization-free feature (MALS-TSF) for three-dimensional (3D) large-scale UWSNs. In addition, the underwater drift of the sensor node is considered in this scheme. The localization scheme can be divided into two phases. In Phase I, anchor nodes are distributed in the monitoring area, reducing the monitoring cost. Then, we address a time-synchronization-free localization scheme, to obtain the coordinates of the unknown sensor nodes. In Phase II, we use the method of two-way TOA to locate the remaining ordinary sensor nodes. The simulation results show that MALS-TSF can achieve a relatively high localization ratio without time synchronization.
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spelling pubmed-74359062020-08-24 A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs Luo, Junhai Yang, Yang Wang, Zhiyan Chen, Yanping Wu, Man Sensors (Basel) Article As one of the important facilities for marine exploration, as well as environment monitoring, access control, and security, underwater wireless sensor networks (UWSNs) are widely used in related military and civil fields, since the sensor node localization is the basis of UWSNs’ application in various related fields. Therefore, the research of localization algorithms based on UWSNs has gradually become one of the research hotspots today. However, unlike terrestrial wireless sensor networks (WSNs), many terrestrial monitoring and localization technologies cannot be directly applied to the underwater environment. Moreover, due to the complexity and particularity of the underwater environment, the localization of underwater sensor nodes still faces challenges, such as the localization ratio of sensor nodes, time synchronization, localization accuracy, and the mobility of nodes. In this paper, we propose a mobility-assisted localization scheme with time synchronization-free feature (MALS-TSF) for three-dimensional (3D) large-scale UWSNs. In addition, the underwater drift of the sensor node is considered in this scheme. The localization scheme can be divided into two phases. In Phase I, anchor nodes are distributed in the monitoring area, reducing the monitoring cost. Then, we address a time-synchronization-free localization scheme, to obtain the coordinates of the unknown sensor nodes. In Phase II, we use the method of two-way TOA to locate the remaining ordinary sensor nodes. The simulation results show that MALS-TSF can achieve a relatively high localization ratio without time synchronization. MDPI 2020-07-31 /pmc/articles/PMC7435906/ /pubmed/32752059 http://dx.doi.org/10.3390/s20154293 Text en © 2020 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
Luo, Junhai
Yang, Yang
Wang, Zhiyan
Chen, Yanping
Wu, Man
A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs
title A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs
title_full A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs
title_fullStr A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs
title_full_unstemmed A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs
title_short A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs
title_sort mobility-assisted localization algorithm for three-dimensional large-scale uwsns
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435906/
https://www.ncbi.nlm.nih.gov/pubmed/32752059
http://dx.doi.org/10.3390/s20154293
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