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RFID Networks Planning Using BF-PSO

  • Qiwei Gu
  • Kai Yin
  • Ben Niu
  • Hanning Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)

Abstract

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.

Keywords

BF-PSO RFID network planning Carbon emissions 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Qiwei Gu
    • 1
  • Kai Yin
    • 1
  • Ben Niu
    • 1
    • 2
    • 4
  • Hanning Chen
    • 3
  1. 1.College of ManagementShenzhenChina
  2. 2.Hefei Institute of Intelligent Machines, Chinese Academy of SciencesHefeiChina
  3. 3.Shenyang Institute of Automation Chinese Academy of SciencesShenyangChina
  4. 4.Institute for Cultural IndustriesShenzhen UniversityShenzhenChina

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