• DocumentCode
    2892948
  • Title

    Multi-Channel Wireless Traffic Sensing and Characterization for Cognitive Networking

  • Author

    Tamma, Bheemarjuna Reddy ; Baldo, Nicola ; Manoj, B.S. ; Rao, Ramesh R.

  • Author_Institution
    California Inst. for Telecommun. & Inf. Technol., UC San Diego, San Diego, CA, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Traffic sensing and characterization is an important building block of cognitive networking systems; however, it is very challenging in multi-channel multi-radio wireless networks. The contributions of this paper include the following: (i) a discussion of packet sampling for traffic sensing in multi-channel wireless networks, (ii) a comparison of various time-based sampling strategies using the Kullback-Leibler Divergence (KLD) measure, (iii) a study of the effect of the sampling parameters on the accuracy of the sampling strategies, (iv) the proposal of a new metric (Traffic Intensity) which estimates the busyness of channels by taking into consideration not only the successfully received packets but also corrupt or broken packets, and (v) some preliminary results on the characterization of a campus 802.11 network environment in a spatio-temporal fashion.
  • Keywords
    radio access networks; radiocommunication; telecommunication traffic; wireless LAN; wireless channels; Kullback-Leibler Divergence measure; campus 802.11 network environment; cognitive networking systems; multichannel multiradio wireless networks; multichannel wireless networks; multichannel wireless traffic characterization; multichannel wireless traffic sensing; packet sampling; spatio-temporal fashion; time-based sampling strategies; Communication system traffic control; Condition monitoring; Frequency; Sampling methods; Sensor phenomena and characterization; Switches; Telecommunication traffic; Wireless LAN; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199197
  • Filename
    5199197