DocumentCode :
2158575
Title :
An environment-friendly spectrum decision strategy for underwater wireless sensor networks
Author :
Yao, Guidan ; Jin, Zhigang ; Su, Yishan
Author_Institution :
School of Electronic and Information Engineering, Tianjin University, China
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
6370
Lastpage :
6375
Abstract :
In the underwater environment exist marine mammals and underwater wireless sensor networks (UWSNs), both of which use acoustic signals for communication. However, most of existing researches only focus on the performance, such as energy efficiency, packet error rates and propagation delay, of acoustic communication in UWSNs, which seems not friendly to marine mammals. With the purpose of sharing the scarce acoustic spectrum with marine mammals in a friendly way, an environment-friendly spectrum decision strategy is proposed in this paper. The strategy features a localization scheme for marine mammals and an environment-friendly channel allocation scheme. Based on the estimated locations of marine mammals, the transmission power and available channels are jointly allocated to the contending users. In this way, the proposed strategy can maximize the network capacity while avoiding interference with marine mammals. Simulation results show that the localization scheme has a success rate of localization around 90% and a relatively small average localization error at about 10m; the environment-friendly channel allocation scheme can work effectively as the locations of marine mammals change.
Keywords :
Acoustic communication (telecommunication); Ad hoc networks; Artificial neural networks; Channel allocation; Dolphins; Wireless sensor networks; Underwater wireless sensor networks (UWSNs); channel allocation; environment-friendly communication; spectrum decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7249339
Filename :
7249339
Link To Document :
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