• DocumentCode
    104409
  • Title

    Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters

  • Author

    Parker, Ben M. ; Schormans, John Alexander ; Gilmour, Steven G.

  • Author_Institution
    Southampton Stat. Sci. Res. Inst., Univ. of Southampton, Southampton, UK
  • Volume
    4
  • Issue
    1
  • fYear
    2015
  • fDate
    1 2015
  • Firstpage
    21
  • Lastpage
    29
  • Abstract
    The IEEE 802.11 standard uses Carrier Sense Multiple Access with Collision Avoidance to avoid multiple devices simultaneous transmitting on a shared transmission medium. In this study, Bianchi´s model for IEEE 802.11 is studied and the authors suggest some important improvements. Firstly, they expand the state space of the Markov chain to model the evolution of a network, instead of a single device. Secondly, they relax the assumption that the network must be saturated. Thirdly, they extend the model to allow for heterogeneous devices with different transmission profiles. They use this new model to perform Monte Carlo simulation to discover the impact of the minimum and maximum contention window times (CWmin and CWmax) in the standard on measures of throughput in a network. By exhaustive search over a parameter space, they find optimal values for these devices for any given network model, and show that the recommended parameters in the IEEE 802.11 standard are not optimal. They consider both average and minimum throughput, and show that increases in throughput of around 8% are possible for saturated networks, and that even greater improvements are possible for any case in which the traffic sources are not homogeneous, that is, any real scenario.
  • Keywords
    Markov processes; Monte Carlo methods; carrier sense multiple access; wireless LAN; Bianchi model; CWmax; CWmin; IEEE 802.11 standard; Markov chain; Monte Carlo simulation; carrier sense multiple access; collision avoidance; exhaustive search; heterogeneous device; maximum contention window time; minimum contention window time; trafflc source;
  • fLanguage
    English
  • Journal_Title
    Networks, IET
  • Publisher
    iet
  • ISSN
    2047-4954
  • Type

    jour

  • DOI
    10.1049/iet-net.2013.0021
  • Filename
    6994374