Performance modeling of IEEE 802.11 DCF using equilibrium point analysis

Xingang Wang, Geyong Min, John E. Mellor

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding

    12 Citations (Scopus)

    Abstract

    Modeling and performance analysis of MAC protocols for WLANs have attracted lots of research efforts because they could help to discover the inherent cause of many problems, give insight into the parameter settings and may even suggest potential novel solutions. Although many analytical models for IEEE 802.11 Distributed Coordination Function (DCF) have been reported, most studies did not consider the dynamics of traffic sources but concentrated on its throughput performance under the saturation condition assuming that there is always a packet available for transmission in each station for the simplicity of analytical modeling and derivation. The comprehensive performance study under nonsaturated traffic situations is still an open problem. In this paper, we propose an analytical performance model for IEEE 802.11 DCF protocol and present how to model the binary backoff scheme under more flexible traffic source. We validate the accuracy of the model by comparing the analytical results with those obtained from simulation experiments.

    Original languageEnglish
    Title of host publicationProceedings - 20th International Conference on Advanced Information Networking and Applications
    Pages281-286
    Number of pages6
    Volume1
    DOIs
    Publication statusPublished - 15 May 2006
    Event20th International Conference on Advanced Information Networking and Applications - Vienna, Austria
    Duration: 18 Apr 200620 Apr 2006

    Conference

    Conference20th International Conference on Advanced Information Networking and Applications
    CountryAustria
    CityVienna
    Period18/04/0620/04/06

    ASJC Scopus subject areas

    • Engineering(all)

    Fingerprint Dive into the research topics of 'Performance modeling of IEEE 802.11 DCF using equilibrium point analysis'. Together they form a unique fingerprint.

    Cite this