PSO Based Indoor RFID Network Planning

Abstract

Network planning in general is an important concept due to its effect on cost, coverage, efficiency and other important factors. Radio Frequency Identification (RFID) network, which consists of a number of readers, tags, and antennas is considered in the simulation test. The cost of the RFID network depends mainly on the number of the readers used in the design. It follows that the number and positions of the readers play an important role in the planning of the network. This paper presents two methods for planning the indoor RFID network by adopting one algorithm of intelligent optimization, which is called Particle Swarm Optimization (PSO). These two methods are referred to as static planning and dynamic planning. The results show that the algorithm successfully covered the area with a minimum number of readers. The simulation results of the second method give a better solution than the first one.