• DocumentCode
    84065
  • Title

    Towards More Efficient Cardinality Estimation for Large-Scale RFID Systems

  • Author

    Yuanqing Zheng ; Mo Li

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    22
  • Issue
    6
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1886
  • Lastpage
    1896
  • Abstract
    Radio frequency identification (RFID) cardinality estimation with an accuracy guarantee is of practical importance in various large-scale RFID applications. This paper proposes a fast RFID cardinality estimation protocol, named Zero-One Estimator (ZOE). ZOE only requires 1-bit response from the RFID tags per estimation round. More importantly, ZOE rapidly converges to optimal parameter configurations and achieves higher estimation efficiency compared to existing protocols. ZOE guarantees arbitrary accuracy requirement without imposing heavy computation and memory overhead at RFID tags except the routine operations of C1G2 standard. ZOE also provides reliable cardinality estimation with unreliable channels due to the robust protocol design. We prototype ZOE using the USRP software defined radio and the Intel WISP tags. We extensively evaluate the performance of ZOE compared to existing protocols, which demonstrates encouraging results in terms of estimation accuracy, time efficiency, as well as robustness over a large range of tag population.
  • Keywords
    access protocols; radiofrequency identification; software radio; C1G2 standard; Intel WISP tags; RFID cardinality estimation protocol; USRP software defined radio; ZOE; arbitrary accuracy requirement; large-scale RFID systems; optimal parameter configurations; radiofrequency identification; robust protocol design; zero-one estimator; Accuracy; Estimation; Positron emission tomography; Probabilistic logic; Protocols; RFID tags; Cardinality estimation; radio frequency identification (RFID) systems;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2013.2288352
  • Filename
    6656968