RFID Networks Planning Using BF-PSO
RFID network planning (RNP) problem is a core challenge in the widespread application of RFID networks. In this paper, we develop a new mathematical model for planning RFID networks with multiple objectives, including carbon emissions, economic efficiency, load balance, interference between readers and coverage. Bacteria Foraging oriented by Particle Swarm Optimization (BF-PSO) is to solve optimize the proposed model. To demonstrate the effectiveness and efficiency of BF-PSO, the simulation results are compared with Bacteria Foraging Optimization (BFO), a real-coded Genetic Algorithm (RGA) and the Self-adaptive ES (SA-ES) on the RFID network planning problem.
KeywordsBF-PSO RFID network planning Carbon emissions
Unable to display preview. Download preview PDF.
- 1.Hossain, M.M., Prybutok, V.R.: Consumer Acceptance of RFID Technology: An Exploratory Study. Engineering Management 55(2), 316–328 (2008)Google Scholar
- 2.Chen, H.N., Zhu, Y.L.: RFID Networks Planning Using Evolutionary Algorithms and Swarm Intelligence. In: 4th IEEE International Conference on Wireless Communications. Networking and Mobile Computing, pp. 1–4. IEEE Press, Piscataway (2008)Google Scholar
- 4.Forni, F., Giampaolo, E., Marrocco, G.: RFID-network Planning by Particle Swarm Optimization. In: 4th European Conference on Antennas and Propagation, pp. 1–5. IEEE Press, Piscataway (2010)Google Scholar
- 7.Korani, W.M., Dorrah, H.T., Emara, H.M.: Bacterial Foraging Oriented by Particle Swarm Optimization Strategy for PID Tuning. In: 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 445–450. IEEE Press, Piscataway (2009)Google Scholar