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Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks

Underwater wireless sensor networks (UWSNs) have become a new hot research area. However, due to the work dynamics and harsh ocean environment, how to obtain an UWSN with the best systematic performance while deploying as few sensor nodes as possible and setting up self-adaptive networking is an urg...

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Autores principales: Wei, Zhengxian, Song, Min, Yin, Guisheng, Wang, Hongbin, Ma, Xuefei, Song, Houbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539687/
https://www.ncbi.nlm.nih.gov/pubmed/28704959
http://dx.doi.org/10.3390/s17071619
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author Wei, Zhengxian
Song, Min
Yin, Guisheng
Wang, Hongbin
Ma, Xuefei
Song, Houbing
author_facet Wei, Zhengxian
Song, Min
Yin, Guisheng
Wang, Hongbin
Ma, Xuefei
Song, Houbing
author_sort Wei, Zhengxian
collection PubMed
description Underwater wireless sensor networks (UWSNs) have become a new hot research area. However, due to the work dynamics and harsh ocean environment, how to obtain an UWSN with the best systematic performance while deploying as few sensor nodes as possible and setting up self-adaptive networking is an urgent problem that needs to be solved. Consequently, sensor deployment, networking, and performance calculation of UWSNs are challenging issues, hence the study in this paper centers on this topic and three relevant methods and models are put forward. Firstly, the normal body-centered cubic lattice to cross body-centered cubic lattice (CBCL) has been improved, and a deployment process and topology generation method are built. Then most importantly, a cross deployment networking method (CDNM) for UWSNs suitable for the underwater environment is proposed. Furthermore, a systematic quar-performance calculation model (SQPCM) is proposed from an integrated perspective, in which the systematic performance of a UWSN includes coverage, connectivity, durability and rapid-reactivity. Besides, measurement models are established based on the relationship between systematic performance and influencing parameters. Finally, the influencing parameters are divided into three types, namely, constraint parameters, device performance and networking parameters. Based on these, a networking parameters adjustment method (NPAM) for optimized systematic performance of UWSNs has been presented. The simulation results demonstrate that the approach proposed in this paper is feasible and efficient in networking and performance calculation of UWSNs.
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spelling pubmed-55396872017-08-11 Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks Wei, Zhengxian Song, Min Yin, Guisheng Wang, Hongbin Ma, Xuefei Song, Houbing Sensors (Basel) Article Underwater wireless sensor networks (UWSNs) have become a new hot research area. However, due to the work dynamics and harsh ocean environment, how to obtain an UWSN with the best systematic performance while deploying as few sensor nodes as possible and setting up self-adaptive networking is an urgent problem that needs to be solved. Consequently, sensor deployment, networking, and performance calculation of UWSNs are challenging issues, hence the study in this paper centers on this topic and three relevant methods and models are put forward. Firstly, the normal body-centered cubic lattice to cross body-centered cubic lattice (CBCL) has been improved, and a deployment process and topology generation method are built. Then most importantly, a cross deployment networking method (CDNM) for UWSNs suitable for the underwater environment is proposed. Furthermore, a systematic quar-performance calculation model (SQPCM) is proposed from an integrated perspective, in which the systematic performance of a UWSN includes coverage, connectivity, durability and rapid-reactivity. Besides, measurement models are established based on the relationship between systematic performance and influencing parameters. Finally, the influencing parameters are divided into three types, namely, constraint parameters, device performance and networking parameters. Based on these, a networking parameters adjustment method (NPAM) for optimized systematic performance of UWSNs has been presented. The simulation results demonstrate that the approach proposed in this paper is feasible and efficient in networking and performance calculation of UWSNs. MDPI 2017-07-12 /pmc/articles/PMC5539687/ /pubmed/28704959 http://dx.doi.org/10.3390/s17071619 Text en © 2017 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
Wei, Zhengxian
Song, Min
Yin, Guisheng
Wang, Hongbin
Ma, Xuefei
Song, Houbing
Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
title Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
title_full Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
title_fullStr Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
title_full_unstemmed Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
title_short Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
title_sort cross deployment networking and systematic performance analysis of underwater wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539687/
https://www.ncbi.nlm.nih.gov/pubmed/28704959
http://dx.doi.org/10.3390/s17071619
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