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Deploying Wireless Sensors for Differentiated Coverage and Probabilistic Connectivity

Abstract : The deployment strategy for achieving differentiated coverage and probabilistic connectivity in wireless sensor networks is studied in this paper. A novel solution based on elitist non-dominated sorting genetic algorithm (NSGA-II) is proposed. Simulation results show that NSGA-II based strategy can meet the desired coverage requirements and maintain connectivity in a probabilistic manner with a relatively small number of sensors. In addition, for the applications in which the coverage requirement varies in some subareas, a local genetic operation is more time efficient and needs less variation in the original disposal than a renewed global optimization.
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Contributor : Yanjun Li Connect in order to contact the contributor
Submitted on : Wednesday, December 1, 2010 - 3:29:06 PM
Last modification on : Friday, February 4, 2022 - 3:11:44 AM
Long-term archiving on: : Wednesday, March 2, 2011 - 3:11:05 AM


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  • HAL Id : inria-00541959, version 1



Yanjun Li, Ye-Qiong Song, Zhu Yi-Hua, René Schott. Deploying Wireless Sensors for Differentiated Coverage and Probabilistic Connectivity. IEEE Wireless Communications and Networking Conference - WCNC 2010, Apr 2010, Sydney, Australia. ⟨inria-00541959⟩



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