Research into Network Optimization based on PSO Algorithm in RFID Network Layout
نویسنده
چکیده
How to make the RFID reader have better coverage and improve the accuracy of transmitting information has always been the research direction. In this paper, the RFID reader individual is corresponded with particles in PSO. First of all, establish the optimization function by interfering with signals in the RFID network with distribution density of reader and data transmission load as the target of optimization. Second, aiming at the deficiency of PSO algorithm the Monte Carlo simulation and opposition-based learning strategy are introduced to make particles of the PSO algorithm jump out of the local optimization and improve the algorithm’s efficiency. Finally, the simulation experiment shows that algorithm in this paper and QPSO have been significantly improved in signal interference, reader distribution density and data transmission load, so they can effectively improve the efficiency of RFID network layout.
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