Multi-objective Quantum Genetic Algorithm in WSNs Distribution Optimization

被引：0
|
作者：
Wen, Hao [1 ]
Ren, Hong-liang [1 ]
机构：
[1] Zhejiang Univ Technol, Informat Coll, Hangzhou 310014, Zhejiang, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2012): ALGORITHMS, PATTERN RECOGNITION AND BASIC TECHNOLOGIES | 2013年 / 8784卷
关键词：
Wireless sensor networks; distribution optimization; quantum genetic algorithm; coverage rate; energy;
D O I：
10.1117/12.2013799
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To achieve lower energy and higher detection coverage simultaneously in scattering distribution wireless sensor networks (WSNs), a multi-objective optimization function combined with area coverage and node-communication energy is constructed. Based on the multi-objective quantum genetic algorithm (Mo-QGA) proposed by Li Bin and Zhuang-zhen Quan et al, we have obtained optimum solutions close to Pareto front. Experimental results indicate that the Mo-QGA has advantages both on efficiency and coverage, as well as low energy.
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页数：7
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