• DocumentCode
    2975421
  • Title

    State based multiple channel selection in multi-channel wireless networks

  • Author

    Phillips, Brian ; Tummala, Murali ; McEachen, John C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA, USA
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    1061
  • Lastpage
    1066
  • Abstract
    In this paper, we present an innovative scheme to favor the selection of M out of N available high-performing channels in multi-channel wireless networks through the application of states to individual channels. One channel selection scheme is random selection, which can lead to poor network performance when one or more data channels are disadvantaged. This is due to the inability of random selection to discriminate between high performing and disadvantaged channels. The novel proposed channel selection scheme is shown to perform nearly as well as the highest performing of N channels when one or more channels are disadvantaged. We develop a Markov-chain-based theoretical model and then present simulation results validating a significant performance increase of the proposed channel selection scheme.
  • Keywords
    Markov processes; channel allocation; performance evaluation; radio networks; wireless channels; Markov chain-based theoretical model; data channel; high-performing channel; innovative scheme; multichannel wireless network; network performance; random selection; state based multiple channel selection; Equations; Markov processes; Mathematical model; Monitoring; Radiation detectors; Vectors; Wireless networks; Multi-channel wireless networks; ad hoc networks; channel selection; state based; wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MILITARY COMMUNICATIONS CONFERENCE, 2011 - MILCOM 2011
  • Conference_Location
    Baltimore, MD
  • ISSN
    2155-7578
  • Print_ISBN
    978-1-4673-0079-7
  • Type

    conf

  • DOI
    10.1109/MILCOM.2011.6127437
  • Filename
    6127437