• DocumentCode
    3159665
  • Title

    A Self-Adjustable Rate Control in Wireless Body Area Networks

  • Author

    Baek, Young-Mi ; Lee, Byung-Hwa ; Yun, Jeongbae ; Cho, Keuchul ; Han, Kijun

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Kyungpook Nat. Univ., Daegu, South Korea
  • fYear
    2009
  • fDate
    27-29 Dec. 2009
  • Firstpage
    404
  • Lastpage
    407
  • Abstract
    The convergent feature of traffic in wireless body area networks (WBANs) makes congestion in certain areas which are the place of events and/or the location of sensor nodes near a sink. Congestion brings packet loss, retransmission, and delay at the node and it also causes the consumption of additional energy. Therefore there is no doubt that congestion needs to be controlled efficiently. In this paper, we suggest a self-adjustable rate control in WBANs. Our scheme performs rate control dynamically each node based on a predication model which uses rate function including congestion risk degree and valuation function, without requiring congestion detection and congestion notification steps. We carry out the operation of our scheme and have demonstrated our rate control to be efficient. We also show that the negative effects from network congestion can be greatly mitigated as compared with a no rate control mechanism.
  • Keywords
    body area networks; telecommunication congestion control; congestion risk degree; packet loss; rate function; self-adjustable rate control; sensor nodes; valuation function; wireless body area networks; Algorithm design and analysis; Base stations; Body sensor networks; Communication system traffic control; Computer science; Cost accounting; Delay; Scattering; Traffic control; Wireless sensor networks; component; rate control; wireless body area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks and Communications, 2009. NETCOM '09. First International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-5364-1
  • Electronic_ISBN
    978-0-7695-3924-9
  • Type

    conf

  • DOI
    10.1109/NetCoM.2009.38
  • Filename
    5383973