基于改进粒子群算法的无线传感器网络覆盖优化OA北大核心CSTPCD
Wireless sensor network coverage optimization based on improved particle swarm optimization
为了解决粒子群算法的无线传感器网络覆盖方法存在的容易出现局部收敛的问题,提出基于改进粒子群的无线传感器网络覆盖优化方法.分析基本粒子群算法进行无线传感器网络覆盖优化的过程,找出其存在的局部收敛问题,通过采用拟万有引力和库仑力两种拟物方案,在粒子速度进化过程中融入拟物力,对基本粒子群算法的速度修正过程实施优化,避免粒子群算法出现局部收敛问题,降低重复覆盖率,完成无线传感器网络覆盖优化.实验结果表明,改进粒子群算法具有更快的收敛效率,对无线传感网络的覆盖优化效果更好.
Since the traditional wireless sensor network coverage methods are prone to produce local convergence,a method of wireless sensor network coverage optimization based on improved particle swarm optimization is proposed. The process of wire-less sensor network coverage optimization based on particle swarm optimization is analyzed to find out the local convergence prob-lem. The schemes of quasi universal gravitation and quasi Coulomb force are used to integrate…查看全部>>
梁俊卿
青岛理工大学 计算机工程学院,山东 青岛 266033
信息技术与安全科学
粒子群算法无线传感器网络覆盖收敛效率
particle swarm optimization algorithmwireless sensornetwork coverageconvergence efficiency
《现代电子技术》 2017 (17)
32-35,4
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