• DocumentCode
    2925726
  • Title

    Exploiting signal strength detection and collision cancellation for tag identification in RFID systems

  • Author

    Bonuccelli, Maurizio A. ; Lonetti, Francesca ; Martelli, Francesca

  • Author_Institution
    Dipt. di Inf., Univ. di Pisa, Pisa, Italy
  • fYear
    2009
  • fDate
    5-8 July 2009
  • Firstpage
    500
  • Lastpage
    506
  • Abstract
    Radio Frequency IDentification (RFID) systems are becoming more and more popular in the field of ubiquitous computing, in particular for objects identification. An RFID system is composed by one or more readers and a number of tags. One of the main issues in an RFID network is the fast and reliable identification of all tags in the reader range. The reader issues some queries, and tags properly answer. Then, the reader must identify the tags from such answers. This is crucial for most applications. Since the transmission medium is shared, the typical problem to be faced is a MAC-like one, i.e. to avoid or limit the number of tags transmission collisions. We propose a protocol which, under some assumptions about transmission techniques, achieves a 60% performance on the average (in terms of transmitted bits). It is based on a proper recursive splitting of the concurrent tags sets and on signal storing and later cancellation, until all tags have been identified.
  • Keywords
    protocols; radiofrequency identification; signal detection; RFID systems; collision cancellation; radio frequency identification protocol; signal storing; signal strength detection; tag identification; ubiquitous computing; Batteries; Broadcasting; Costs; Passive RFID tags; Protocols; RFID tags; Radio frequency; Radiofrequency identification; Signal detection; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications, 2009. ISCC 2009. IEEE Symposium on
  • Conference_Location
    Sousse
  • ISSN
    1530-1346
  • Print_ISBN
    978-1-4244-4672-8
  • Electronic_ISBN
    1530-1346
  • Type

    conf

  • DOI
    10.1109/ISCC.2009.5202281
  • Filename
    5202281