基于GCPSO算法的RFID读写器网络规划的研究

Research on RFID Network Planning Based on GCPSO Algorithm

无线射频识别(RFID)在现实中有广泛的应用,RFID网络规划是RFID网络部署的核心挑战。提出了一种新的GCPSO算法来实现RFID网络优化调度规划,该算法以广泛学习粒子群优化算法(MCPSO)思想为基础,针对从群之间没有信息的交流而降低算法速度问题,设定一种中心交流机制。同时在参数的设置中结合高斯分布的概念,以提高算法的收敛性。为了证明所提出GCPSO算法的效率和性能,将其与MCPSO算法、PSO基本算法共同对15个读写器进行网络规划并做比较。实验结果表明,改进后的粒子群算法GCPSO不仅收敛性能和速度上有了明显的增强,而且实现了RFID读写器网络良好规划。

Radio Frequency Identification（RFID） has a widespread application in reality,and RFID wirelss network planning is a core challenge in the deployment of RFID networks.A new approach GCPSO for optimal scheduling of RFID network have been Proposed.The algorithm based on our proposed MCPSO algorithm.According to no information between slave and reducing the rate algorithm,set a central communication mechanism.At the same time combines the Gaussian distribution in controlling the parameters to improve the convergence ability.To demonstrate the efficiency of the proposed GCPSO algorithm,it is compared with MCPSO and basic PSO algorithm,and used for network planning.Experimental results show that the improved particle swarm algorithm not only convergence functions and speed have greatly improved but also the RFID network better network planning.