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Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks

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Indexed by:会议论文

Date of Publication:2013-07-03

Included Journals:EI、CPCI-S、Scopus

Page Number:623-628

Key Words:wireless sensor networks; 3D terrain; dimensionality reduction; genetic algorithm; Delaunay triangulation; sensitivity; optimal coverage control

Abstract:The coverage problem of networks is one of the key issues researched in wireless sensor networks (WSNs). To find the optimal coverage solution of sensor networks is a pressing concern now. The terrain of the detection area is often more complex in the applications of three-dimensional sensor networks. In this paper, a new network coverage and optimization control strategy based on genetic algorithm is proposed to solve the deterministic coverage problem of sensor nodes. The fitness function of the associated genetic algorithm is determined on a two-dimensional plane and iterations are utilized to find optimal solutions. The simulations and results indicate that the coverage strategy is an efficient coverage strategy for the three-dimensional terrain.

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