An Improved Particle Swarm Optimization-Based Coverage Control Method for Wireless Sensor Network

被引：0
作者：
Du, Huimin [1 ,2 ]
Ni, Qingjian [1 ,2 ]
Pan, Qianqian [3 ,4 ]
Yao, Yiyun [1 ]
Lv, Qing [1 ]
机构：
[1] Southeast Univ, Coll Software Engn, Nanjing, Jiangsu, Peoples R China
[2] Soochow Univ, Prov Key Lab Comp Informat Proc Technol, Suzhou, Peoples R China
[3] Southeast Univ, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China
[4] Southeast Univ, Sch Informat Sci & Engn, Nanjing, Jiangsu, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, ICSI 2014, PT II | 2014年 / 8795卷
关键词：
Wireless Sensor Network; Coverage Control; Discrete Particle Swarm Optimization; DEPLOYMENT; ALGORITHM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Coverage control plays a significant role in wireless sensor network (WSN) design. To meet a layout with a certain cover rate, movable nodes are maintained in deployment which accomplish self-organization through moving and changing topological structure. This paper proposes an improved discrete particle swarm optimization algorithm aimed at coverage control method of WSN, and the optimization is implemented under two processes: deployment planning and movement control. The method interpreted in this paper can be easily used solving such problems and the experiment result shows its efficiency, which will inspire new insights in this field.
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收藏
页码：114 / 124
页数：11
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