Optimal Evolutionary-Based Deployment of Mobile Sensor Networks

被引：0
|
作者：
Shafiabady, Niusha [1 ]
Nekoui, Mohammad Ali [2 ]
机构：
[1] Azad Univ, Sci & Res Branch, Tehran, Iran
[2] K N T Univ Technol, Tehran, Iran
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5855卷
关键词：
Fully Informed Particle Swarm Optimization; Mobile sensor networks;
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：
Sensor deployment is an important issue in designing sensor networks. Here both energy consumption and coverage factors of mobile sensor networks are optimized in two phases using fully informed particle swarm optimization (FIPSO) that has proved to have a good achievement and given good results. The method has been applied on three sets of data to test its efficiency. All results have been perfectly good.
引用
收藏
页码：563 / +
页数：2
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