Multi-objective quantum genetic algorithm in WSNs distribution optimization

Hao Wen; Hong-liang Ren

doi:10.1117/12.2013799

13 March 2013 Multi-objective quantum genetic algorithm in WSNs distribution optimization

Hao Wen, Hong-liang Ren

Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 87840H (2013) https://doi.org/10.1117/12.2013799
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

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.

Citation Download Citation

Hao Wen and Hong-liang Ren "Multi-objective quantum genetic algorithm in WSNs distribution optimization", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87840H (13 March 2013); https://doi.org/10.1117/12.2013799

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