PSO Based Wireless Sensor Networks Coverage Optimization on DEMs

被引：0
|
作者：
Li, Wenli [1 ]
机构：
[1] Nanchang Inst Technol, Sch Informat Engn, Nanchang, Peoples R China
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2012年 / 6839卷
关键词：
Wireless Sensor Networks; Coverage; Digital Elevation Model; Particle Swarm Optimization; PARTICLE SWARM OPTIMIZATION;
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：
Wireless Sensor Networks (WSNs) coverage optimization is to maximize the coverage of WSNs while keeping service quality. This paper extends the problem to 2.5D and studies PSO based WSNs coverage optimization on Digital Elevation Models (DEMs). To compute network coverage on DEMs, a method of computing individual sensor node coverage is introduced. This paper also proposes an improved algorithm based on Dissipative Particle Swarm Optimization (DPSO). Simulation experiments show that the algorithm can effectively improve WSNs coverage on DEMs.
引用
收藏
页码：371 / 378
页数：8
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