K-Covered Wireless Sensor Network Optimization

摘要：

In this paper, a k-covered wireless sensor network optimization problem is considered to improve the quality of surveillance. In order to maximize the coverage area of wireless sensor network with k-covered hotspots and connected sensor nodes, a novel stochastic optimization technique named particle filter optimization (PFO) is proposed to obtain an optimal sensor placement. Simulation results indicate that the proposed algorithm is effective and efficient. Finally, it is demonstrated that the proposed algorithm exhibits a significant performance improvement over other benchmark methods, for example, genetic algorithm (GA) and particle swarm optimization (PSO) method.

作者: Jie Li Tianyou Chai Lisheng Fan Li Pan Jingkuan Gong

作者单位: Key Laboratory of Integrated Automaton for Process Industry,Northeastern University,Shenyang 110004, Key Laboratory of Integrated Automaton for Process Industry,Northeastern University,Shenyang 110004, Department of Electronic Engineering,Shantou University,243 Daxue Road,Shantou,Guangdong,P.R.China. General Research Institute for Nonferrous Metals,Beijing 100088,P.R.China Beijing Aeronautical Engineering and Technology Research Center,Mail Box 9203 15,Beijing,100076,P.R.

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 972-975

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）