Optimizing Radio Frequency Identification Networks Planning by using Particle Swarm Optimization Algorithm with Fuzzy Logic Controller and Mutation

One of the main problems for radio frequency identification (RFID) networks planning is to optimize readers position. The problem of RFID networks planning (RNP) includes many goals like coverage, interference, load balancing and economic efficiency. In this paper, we try to introduce a particle swarm optimization (PSO) algorithm-based method to improve RFID networks planning in which a Fuzzy logic controller and a mutation operator have been used to prevent quick algorithm convergence to local optimum. According to the findings, the recommended algorithm comparing other evolutionary algorithms locates readers in places where the goals of RFID networks planning could be achieved at the lowest cost.

Keywords:

Radio Frequency Identification , Coverage , Interference , Load Balance , Economic Efficiency , Particle Swarm Optimization