• DocumentCode
    1974805
  • Title

    Modeling and performance analysis of device discovery in Bluetooth Low Energy networks

  • Author

    Jia Liu ; Canfeng Chen ; Yan Ma

  • Author_Institution
    Inst. of Network Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    1538
  • Lastpage
    1543
  • Abstract
    Bluetooth Low Energy (BT LE) is a low power air interface technology recently released by the Bluetooth Special Interest Group (BT SIG). As a promising radio, BT LE realizes many designing features to fulfill foreseeable requirements of short range communication, such as fast device discovery, power-saving transmitting, encryption and authentication, etc. In this paper, we focus on the modeling and performance analyzing of the device discovery process in BT LE networks. A general model for device discovery on multi-channel is proposed primarily, which is then tailored and simplified for the BT LE case, where three broadcasting channels are used. Via theoretical analysis, our study reveals that some potential pitfalls are residing in the current version of BT LE specification, i.e. improper parameter settings can significantly deteriorate the device discovery latency and increase meaningless energy consumption. We accordingly propose several strategies seeking ways to tackle the problem. The results of extensive simulation show that our strategies can largely reduce undesirable latency and effectively improve the efficiency of device discovery in BT LE networks.
  • Keywords
    Bluetooth; BT LE networks; BT LE specification; BT SIG; Bluetooth Special Interest Group; Bluetooth low-energy networks; authentication; broadcasting channels; device discovery latency; device discovery process; encryption; low-power air interface technology; power-saving transmission; short-range communication; theoretical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503332
  • Filename
    6503332