• DocumentCode
    67444
  • Title

    Grouping of RFID Tags via Strongly Selective Families

  • Author

    Yi-Sheng Su ; Jiun-Ren Lin ; Tonguz, Ozan

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chang Jung Christian Univ., Tainan, Taiwan
  • Volume
    17
  • Issue
    6
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    1120
  • Lastpage
    1123
  • Abstract
    This letter proposes a novel scheme for grouping of radio-frequency identification (RFID) tags, based on strongly selective families (SSFs). Grouping of RFID tags allows verifying the integrity of groups of objects without external systems such as databases or verifiers, and can be extended to identify missing objects. The existing scheme is based on Gallager´s low-density parity-check (LDPC) codes and, as such, it cannot easily achieve designated decoding guarantees due to its pseudo-random nature. Motivated by the strongly selective property of SSFs, this study proposes grouping of RFID tags via SSFs, such that designated decoding guarantees are more easily achieved. Simulation and theoretical results are presented, demonstrating that the proposed scheme can greatly improve the performance of the existing one.
  • Keywords
    decoding; parity check codes; radiofrequency identification; random number generation; Gallager low-density parity-check codes; LDPC codes; RFID tag grouping; SSF; decoding; missing objects; pseudorandom nature; radiofrequency identification tags; strongly selective family; Arrays; Decoding; Encoding; Error analysis; Parity check codes; RFID tags; Grouping of radio-frequency identification (RFID) tags; integrity; missing-object identification; strongly selective families (SSFs);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2013.051313.130068
  • Filename
    6517352