Coverage Control Strategy Based on Multi-Objective Optimization of Immune Clone in Wireless Sensor Networks

被引：0
|
作者：
Yang, Zhen [1 ]
Chen, Liwan [1 ]
Liu, Sha [1 ]
Liu, Zilu [1 ]
Chen, Qiang [1 ]
Li, Hongbing [1 ,2 ]
机构：
[1] Chongqing Collaborat Innovat Subctr Geol Environm, Chongqing, Peoples R China
[2] Chongqing Engn Res Ctr Internet Things & Intellig, Key Lab Intelligent Informat Proc & Control Chong, Chongqing, Peoples R China
来源：
2018 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2018年
关键词：
Wireless sensor networks; coverage rate; immune clone; multi-objective; optimization; FRAMEWORK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve the problem of optimal network coverage in wireless sensor network area monitoring, the artificial immune principle is introduced into the network coverage, and the binary sensing model is established. With the target radius and coverage rate, the immune cloning multi-objective algorithm is used to solve the model. The results were compared to genetic algorithms. The experimental results show that the immune clone multi-objective optimization algorithm is more reasonable for the location of sensor locations in the same monitoring area, avoiding coverage redundancy, saving energy and improving the coverage of wireless sensor networks.
引用
收藏
页码：79 / 85
页数：7
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