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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5539687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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