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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Main Authors: Zhengxian Wei, Min Song, Guisheng Yin, Hongbin Wang, Xuefei Ma, Houbing Song
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/7/1619
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author Zhengxian Wei
Min Song
Guisheng Yin
Hongbin Wang
Xuefei Ma
Houbing Song
author_facet Zhengxian Wei
Min Song
Guisheng Yin
Hongbin Wang
Xuefei Ma
Houbing Song
author_sort Zhengxian Wei
collection DOAJ
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 doaj.art-4d1f69b0cb9844a89358c0cca4d7a7022022-12-22T02:18:05ZengMDPI AGSensors1424-82202017-07-01177161910.3390/s17071619s17071619Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor NetworksZhengxian Wei0Min Song1Guisheng Yin2Hongbin Wang3Xuefei Ma4Houbing Song5College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaInformation Technology Centre, Beijing Foreign Studies University, Beijing 100089, ChinaCollege of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaCollege of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaCollege of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, ChinaDepartment of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USAUnderwater 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.https://www.mdpi.com/1424-8220/17/7/1619UWSNnodes deploymentnetworkingsystematic performance
spellingShingle Zhengxian Wei
Min Song
Guisheng Yin
Hongbin Wang
Xuefei Ma
Houbing Song
Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks
Sensors
UWSN
nodes deployment
networking
systematic performance
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 UWSN
nodes deployment
networking
systematic performance
url https://www.mdpi.com/1424-8220/17/7/1619
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AT hongbinwang crossdeploymentnetworkingandsystematicperformanceanalysisofunderwaterwirelesssensornetworks
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