• DocumentCode
    2785191
  • Title

    A network calculus approach to delay evaluation of IEEE 802.11 DCF

  • Author

    Xie, Jing ; Jiang, Yuming

  • Author_Institution
    Dept. of Telematics, Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2010
  • fDate
    10-14 Oct. 2010
  • Firstpage
    560
  • Lastpage
    567
  • Abstract
    Stochastic network calculus is an evolving theory for network performance guarantee analysis. Although many theoretical results of this theory have been developed, there still lack applicable examples to demonstrate how it may be used. This paper exemplifies applying stochastic network calculus to delay analysis of the IEEE 802.11 distributed coordination function (DCF). Analyzing and obtaining the stochastic characteristics of the single packet service time is the primary task. Then the stochastic behavior of the DCF is characterized by a time-domain server model, which describes the cumulative service time provided to an arrival flow using a probabilistic bound. Based on this server model, we obtain delay bounds for different arrival processes. In addition, the delay bounds also take buffer size into account. The analytical bounds are further discussed using numerical results. Through these, we present a stochastic network calculus approach to delay evaluation of the DCF.
  • Keywords
    calculus of communicating systems; telecommunication networks; wireless LAN; DCF; IEEE 802.11; delay evaluation; distributed coordination function; probabilistic bound; stochastic network calculus approach; Algebra; Calculus; Delay; IEEE 802.11 Standards; Servers; Stochastic processes; Time domain analysis; Delay bound; IEEE 802.11 DCF; Stochastic network calculus; Stochastic service curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks (LCN), 2010 IEEE 35th Conference on
  • Conference_Location
    Denver, CO
  • ISSN
    0742-1303
  • Print_ISBN
    978-1-4244-8387-7
  • Type

    conf

  • DOI
    10.1109/LCN.2010.5735773
  • Filename
    5735773