• DocumentCode
    246605
  • Title

    On RFID Network Topology Design for Internet of Things

  • Author

    Po-Jen Chuang ; Wei-Ting Tsai

  • Author_Institution
    Dept. of Electr. Eng., Tamkang Univ., Taipei, Taiwan
  • fYear
    2014
  • fDate
    20-23 Dec. 2014
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    This paper introduces a new optimization-based IGAA approach to pursue a better RFID topology design with more favorable reader deployment and system performance. The new approach adopts an advanced multi-objective fitness function and improved genetic annealing algorithms (GAA) to enhance and outperform existing RFID topology designs. The operation is simple and effective: Involving a gene-stirring operation to help preserve good genes and locate optimal solutions for reader deployment. Experimental evaluation shows that when compared with related approaches, IGAA can yield better solution quality with less search time.
  • Keywords
    Internet of Things; genetic algorithms; radiofrequency identification; simulated annealing; telecommunication network topology; Internet of Things; RFID network topology design; advanced multiobjective fitness function; gene-stirring operation; improved genetic annealing algorithms; optimization-based IGAA approach; Algorithm design and analysis; Annealing; Genetic algorithms; Genetics; Network topology; Radiofrequency identification; Topology; Genetic Annealing Algorithms; RFID networks; experimental evaluation; optimization-based approaches; topology design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking (FGCN), 2014 8th International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-1-4799-7779-6
  • Type

    conf

  • DOI
    10.1109/FGCN.2014.13
  • Filename
    7024335