Coverage optimization in wireless mobile sensor networks

Authors:
Xingzhen Bai;Shu Li;Changjun Jiang;Zhengzhong Gao
Affiliations:
Tongji Univ., Shanghai, China and Key Lab. for the Embedded System & Service Computing of Ministry of Education, Tongji Univ., Shanghai, China and College of Inf. & Elect. Eng., Shandong Univ. of ...;Electronics & Information Engineering School, Tongji University, Shanghai, China and Key Laboratory for the Embedded System & Service Computing of Ministry of Education, Tongji University, Shangha ...;Electronics & Information Engineering School, Tongji University, Shanghai, China and Key Laboratory for the Embedded System & Service Computing of Ministry of Education, Tongji University, Shangha ...;College of Information & Electrical Engineering, Shandong University of Science & Technology, Qingdao, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

The coverage of Wireless Sensor Networks (WSNs) is one of the most important measurement criteria of Qos. Optimal coverage of sensors is propitious to the maximum possible utilization of the available sensors. It can balance node energy consumption, and elongate network lifetime. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage of mobile sensor networks. We first analyze the node distribution of random deployed sensor networks. There are big coverage holes as the network size grows. In order to reduce energy consumption during node move process, we study the sensor network coverage optimization in the limited mobility model. The simulation results show that sensor node move in the limited region can also realize the coverage optimization, and it can reduce the moving distance greatly.