Genetic simulated annealing based coverage-enhancing algorithm for deployment of directional Doppler sensors system

Ke Zhang, Wei Zhang, Haitao Jia, Chengjun Guo
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引用次数: 2

Abstract

Doppler sensors system is a kind of directional sensing system, and its coverage is different from omnidirectional sensing system. In this paper, we propose a GSACEA (Genetic Simulated Annealing based Coverage-Enhancing Algorithm) for the problem of coverage-enhancing in Doppler sensor networks. GSACEA combines the genetic algorithm and the simulated annealing algorithm into the solution for coverage-enhancing in directional Doppler sensor networks. By simulations, comparing our proposed algorithm with other classic directional sensor networks coverage-enhancing algorithm, GSACEA can achieve higher area coverage rate with lesser iterative computing times.
基于遗传模拟退火的定向多普勒传感器系统部署覆盖增强算法
多普勒传感器系统是一种定向传感系统,其覆盖范围不同于全向传感系统。针对多普勒传感器网络中的覆盖增强问题,提出了一种基于遗传模拟退火的覆盖增强算法(GSACEA)。GSACEA将遗传算法和模拟退火算法结合到定向多普勒传感器网络的覆盖增强解决方案中。仿真结果表明,与其他经典的方向传感器网络覆盖增强算法相比,GSACEA算法可以在较少的迭代计算次数下实现更高的区域覆盖率。
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