• DocumentCode
    1823140
  • Title

    Black Bridge: A Scatternet Formation Algorithm for Solving a New Emerging Problem

  • Author

    Yang, Yanqin ; Guo, Minyi ; Tang, Feilong ; Zhang, Gongwei

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao-Tong Univ., Shanghai, China
  • Volume
    2
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    470
  • Lastpage
    475
  • Abstract
    Nowadays, it has become common to equip a device with Bluetooth. As such devices become pervasive in the world; much work has been done on forming them into a network, however, almost all the Bluetooth scatternet formation algorithms assume devices are homogeneous. Even the exceptional algorithms barely mentioned a little about the different characteristics of devices like computational abilities, traffic loads for special nodes like bridge nodes or super nodes, which are usually the bottleneck in the scatternet. In this paper , we treat the devices differently not only based on the hardware characteristics, but also considering other conditions like different classes, different groups and so on. We use a two-phase scatternet formation algorithm here: in the first phase, construct scatternets for a specified kind of devices; in the second phase, connect these scatternets by using least other kinds of devices as bridge nodes. Finally, we give some applications to show the benefit of classification.
  • Keywords
    Bluetooth; Bluetooth; scatternet formation algorithm; Bluetooth; Bridges; Computer science; Hardware; Master-slave; Mobile communication; Mobile handsets; Personal area networks; Scattering; Telecommunication traffic; Algorithm; Bluetooth; Scatternet; Wireless network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.292
  • Filename
    5284147