• DocumentCode
    253008
  • Title

    A bit-error based capture model for EPCglobal RFID systems

  • Author

    Schantin, A. ; Ruland, C.

  • Author_Institution
    Fac. of Natural Sci. & Eng., Univ. of Siegen, Siegen, Germany
  • fYear
    2014
  • fDate
    Sept. 30 2014-Oct. 3 2014
  • Firstpage
    221
  • Lastpage
    226
  • Abstract
    The tag inventory process in systems according to the EPCglobal UHF RFID Air Interface Protocol is based on framed slotted ALOHA (FSA). For FSA, the well-known maximum throughput of 0.37 is reached when the number of allocated slots is equal to the number of contending tags. These values do not hold when captures happen in the system, i.e. when information can be recovered from collision slots. In this work, we propose a new capture model that allows us to calculate the capture probability in a noisy channel, depending on the occupation number of a slot. We will apply the model to AWGN, as well as fading channels, and show the expected capture probabilities for these cases. We will further show how the proposed model can be used to estimate the throughput improvement in a system when forward error correction is employed during the tag inventory.
  • Keywords
    AWGN channels; access protocols; error statistics; fading channels; inventory management; radiofrequency identification; AWGN; Bit-Error Based Capture Model; EPCglobal RFID systems; EPCglobal UHF RFID air interface protocol; FSA; capture probability calculate; collision slots; fading channels; forward error correction; framed slotted ALOHA; noisy channel; occupation number; tag inventory process; throughput improvement estimation; Backscatter; Channel models; Forward error correction; Noise; Probability density function; Random variables; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2014 52nd Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2014.7028459
  • Filename
    7028459