• DocumentCode
    3119247
  • Title

    Hierarchical multiobjective RFID network planning using firefly algorithm

  • Author

    Bacanin, Nebojsa ; Tuba, Milan ; Jovanovic, Raka

  • Author_Institution
    Grad. Sch. of Comput. Sci., Megatrend Univ. Belgrade, Belgrade, Serbia
  • fYear
    2015
  • fDate
    17-19 May 2015
  • Firstpage
    282
  • Lastpage
    285
  • Abstract
    This paper presents implementation of the firefly algorithm adapted for solving hierarchical multi-objective radio frequency identification (RFID) network planning problem. This problem belongs to the group of hard optimization problems since it employs many objectives and constraints. Firefly algorithm has been proven as a robust algorithm for solving such tasks. We used hierarchical approach where total coverage was required, along with minimization of the number of used readers, interference and transmitted power. Empirical tests were conducted on six standard RFID benchmark sets with clustered and random topologies. In comparative analysis with other state-of-the-art metaheuristics which were tested using the same benchmark sets, our proposed approach exhibited uniformly better performance.
  • Keywords
    interference suppression; minimisation; radiofrequency identification; radiofrequency interference; telecommunication network planning; telecommunication network topology; firefly algorithm; hard optimization problem; hierarchical multiobjective RFID network planning problem; interference minimization; radio frequency identification clustering; random topology; robust algorithm; state-of-the-art metaheuristics; Algorithm design and analysis; Benchmark testing; Clustering algorithms; Interference; Optimization; Planning; Radiofrequency identification; RFID network planning; constrained optimization; firefly algorithm; nature inspired algorithms; swarm intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Research (ICTRC), 2015 International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICTRC.2015.7156477
  • Filename
    7156477