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Sensors 2017, 17(7), 1619;

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

College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
Science and Technology on Underwater Acoustic Autagonizing Laboratory, Systems Engineering Research Institute, Beijing 100094, China
Information Technology Centre, Beijing Foreign Studies University, Beijing 100089, China
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Author to whom correspondence should be addressed.
Received: 5 May 2017 / Revised: 27 June 2017 / Accepted: 7 July 2017 / Published: 12 July 2017
(This article belongs to the Special Issue Advances and Challenges in Underwater Sensor Networks)
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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. View Full-Text
Keywords: UWSN; nodes deployment; networking; systematic performance UWSN; nodes deployment; networking; systematic performance

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Wei, Z.; Song, M.; Yin, G.; Wang, H.; Ma, X.; Song, H. Cross Deployment Networking and Systematic Performance Analysis of Underwater Wireless Sensor Networks. Sensors 2017, 17, 1619.

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