Using parallel particle swarm optimization for RFID reader-to-reader anti-collision

With the wide application of radio frequency identification (RFID) technology, the possibility of the collision among readers may increase. When the number of RFID readers is large, the dimension of the RFID reader collision problem will be huge. To solve the high-dimensional RFID reader-to-reader collision problem effectively, we improve the parallel cooperative co-evolution particle swarm optimization (PCCPSO) algorithm by adopting the hybrid adaptive strategy of the inertia weight. In addition, we make parallelism implementation of the improved algorithm. Then, we use the improved algorithm to solve the RFID reader-to-reader anti-collision problem. In the experiments, we compare the improved distributed parallel particle swarm optimization (IDPPSO) algorithm with the PCCPSO algorithm, and make Wilcoxon test on the results. The experimental results demonstrate IDPPSO algorithm has better performance.