Topography-aware sensor deployment optimization with CMA-ES
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic Algorithms
International Journal of Intelligent Information Technologies
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In this paper, we propose a novel and efficient genetic algorithm to the optimal sensor placement of nodes for a wireless sensor network designed to monitor enemy vehicles in a hostile region. A notable feature of our genetic algorithm is the combination of mutation derived from physics and crossover in which heterogeneity between genes is removed by pairing nearest two-dimensional genes. Making experiments by a new simulator that is developed to improve time performance of the sensor deployment simulator based on the geographic information system, we demonstrated the superiority of the proposed genetic algorithm.