DocumentCode
3115755
Title
Genetic Algorithm-Based 3D Coverage Research in Wireless Sensor Networks
Author
Lin Feng ; Zhenlong Sun ; Tie Qiu
Author_Institution
Sch. of Innovation Exp., Dalian Univ. of Technol., Dalian, China
fYear
2013
fDate
3-5 July 2013
Firstpage
623
Lastpage
628
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.
Keywords
genetic algorithms; iterative methods; wireless sensor networks; WSN; genetic algorithm-based 3D coverage research; iteration method; optimal coverage solution; optimization control strategy; three-dimensional sensor network; three-dimensional terrain; two-dimensional plane; wireless sensor network; Biological cells; Genetic algorithms; Sensitivity; Sociology; Statistics; Three-dimensional displays; Wireless sensor networks; 3D terrain; Delaunay triangulation; dimensionality reduction; genetic algorithm; optimal coverage control; sensitivity; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on
Conference_Location
Taichung
Print_ISBN
978-0-7695-4992-7
Type
conf
DOI
10.1109/CISIS.2013.112
Filename
6603961
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