• DocumentCode
    2908998
  • Title

    Energy-Efficient Parallel Singulation in RFID

  • Author

    Ali, Kashif ; Oteafy, Sharief M A ; Hassanein, Hossam S.

  • Author_Institution
    Sch. of Comput., Queen´´s Univ., Kingston, ON, Canada
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Tag collisions impose a significant hindrance to reading rates of Radio Frequency Identification systems. The parallel singulation approach, being a major milestone, clusters tags and autonomously interrogates each cluster in parallel. This technique reduces the number of tags being interrogated at a given time, reducing collisions, and achieves higher reading rates. However, such an approach faces two limitations as the number of clusters increase. The exponential increase in tag responses may hinder tag functionality due to energy spent on communication. Moreover, energy inefficiency is incurred at cluster-heads to process significantly more tag responses. These issues overshadow the promising benefits of employing parallel singulation. In this paper, we remedy such hindrances by proposing energy efficient enhancements to the parallel singulation technique. The essence of these enhancements lies in minimizing an important measure of communication overhead, referred to as tags traffic rate, which indicates the efficiency of interrogation cycles in communicating with all tags without incurring unnecessary overhead. Analyses carried out via simulation demonstrate significant improvements by the proposed schemes in reducing energy consumption of cluster-heads, without posing constraints on tag operations nor incurring significant degradation of reading rates.
  • Keywords
    radiofrequency identification; RFID; energy-efficient parallel singulation; radio frequency identification systems; tag collisions; tags traffic rate; Algorithm design and analysis; Clustering algorithms; Communications Society; Concurrent computing; Energy consumption; Energy efficiency; Partitioning algorithms; Peer to peer computing; RFID tags; Radiofrequency identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5502428
  • Filename
    5502428