• DocumentCode
    3366808
  • Title

    A Middleware-Based Model for Redundant Reader Elimination Using Plant Growth Simulation Algorithm

  • Author

    Shilei Lu ; Shunzheng Yu

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    36
  • Lastpage
    40
  • Abstract
    Eliminating redundant readers is a significant way to improve the performance of the radio frequency identification (RFID) networks. This paper proposes a middleware-based model for redundant reader elimination, which is formulated as a multi-dimensional optimization problem. It uses the data in RFID middleware to distinguish redundant readers and no "write-to-tag" operations are required. The Plant Growth Simulation Algorithm (PGSA) is employed to search the optimal adjustable parameters. The simulation results reveal that the proposed approach outperforms other algorithms in terms of optimization precision and computing time.
  • Keywords
    computational complexity; middleware; radiofrequency identification; search problems; telecommunication computing; PGSA; REP; RFID middleware-based model; multidimensional optimization problem; nondeterministic polynomial problem; optimal adjustable parameter searching; performance improvement; plant growth simulation algorithm; radio frequency identification networks; redundant reader elimination problem; write-to-tag operations; Algorithm design and analysis; Computational modeling; Distributed algorithms; Low earth orbit satellites; Mathematical model; Optimization; Radiofrequency identification; Plant Growth Simulation Algorithm (PGSA); Radio Frequency Identification (RFID); Redundant Reader Elimination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.15
  • Filename
    6746351