• DocumentCode
    3254948
  • Title

    On measuring available bandwidth in wireless networks

  • Author

    Johnsson, Andreas ; Björkman, Mats

  • Author_Institution
    Res. Area Packet Syst., Ericsson Res., Stockholm
  • fYear
    2008
  • fDate
    14-17 Oct. 2008
  • Firstpage
    861
  • Lastpage
    868
  • Abstract
    BART is a state-of-the-art active end-to-end bandwidth measurement method that estimates not only the available bandwidth but also the link capacity of the bottleneck link. It uses a Kalman filter to give estimates in real time during a measurement session. In this paper, we have studied the impact of 802.11 networks on the bandwidth estimates produced by BART. The Kalman filter used by BART is tunable, and one of the contributions of this paper is to show how the Kalman filter should be adjusted to improve real-time tracking and estimation accuracy when the bottleneck is an 802.11 link. Further, the paper contributes by discussing how to interpret the estimates produced by BART and similar bandwidth estimation tools relying on self-induced congestion when used in wireless scenarios. An analysis show that the BART estimates produced are correct - but corresponds to a fair share of the wireless link rather than to the unused capacity. However, the estimates do indicate how much bandwidth an application or device in the wireless network can expect when sending and/or receiving network traffic.
  • Keywords
    IEEE standards; Kalman filters; bandwidth allocation; target tracking; telecommunication traffic; wireless LAN; wireless channels; BART; IEEE 802.11 networks; Kalman filter; available bandwidth measurement; bandwidth estimation tools; link capacity; network traffic; real-time tracking; wireless LAN; wireless link; wireless networks; Area measurement; Bandwidth; Computer science; IP networks; Portable computers; Probes; State estimation; Telecommunication traffic; Traffic control; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, 2008. LCN 2008. 33rd IEEE Conference on
  • Conference_Location
    Montreal, Que
  • Print_ISBN
    978-1-4244-2412-2
  • Electronic_ISBN
    978-1-4244-2413-9
  • Type

    conf

  • DOI
    10.1109/LCN.2008.4664295
  • Filename
    4664295