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QPSO based actor optimal deployment in WSAN
基于QPSO的WSAN中执行器优化部署研究

Keywords: wireless sensor and actor networks (WSAN),quantum-behaved particle swarm optimization (QPSO),real-time coverage,node optimal deployment,particle evolution,communication frequency
无线传感器执行器网络
,量子粒子群优化,实时覆盖,节点优化部署,粒子进化,通信频率

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Abstract:

To improve the efficiency of WSAN, based on QPSO, this paper proposed a new coverage optimization strategy for actor deployment in WSAN. It adopted a number of particles independently searching for solution space, to share the current global optimal value at a certain communication rate. Through experiments, the results show that the proposed method can improve the real-time coverage rate, and then compare the performances of this algorithm with other latest WSAN deployment algorithms.

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