基于速度差分变异粒子群的RFID网络优化

Optimization of RFID networks based on velocity differential mutation-particle swarm algorithm

针对RFID网络资源分布不合理问题,建立RFID网络系统优化模型,提出一种带压缩因子和惯性权重的速度差分变异粒子群(VDM-PSO)算法来优化网络中读写器的规划部署。压缩因子和惯性权重保证算法前期搜索的快速性和后期搜索的精确性,速度差分变异操作有效保持粒子群体的多样性,摆脱局部极点的束缚。仿真结果表明,该算法较基本粒子群(PSO)算法群体多样性增强,适应度更佳,能够更好实现网络资源分布。

To solve the problem of RFID networks management and the deployment of readers,a mathematical model and a optimization algorithm called velocity differential mutation-particle swarm algorithm were proposed.The compression factor and inertia weight ensured the rapidity of the algorithm’s previous search and the accuracy of its later search.By adding the velocity mutation operation to the PSO algorithm,the population diversity was maintained and the bondage of local pole was eliminated. The simulation results show the high efficiency of VDM-PSO in enhancing population diversity,optimizing fitness,and realizing better distribution of network resources.