• DocumentCode
    476052
  • Title

    Minimum transmission period in multi-radio wireless mesh networks

  • Author

    Huang, He-Jiao ; Peng, Yun ; Cao, Xiao-lu ; Wang, Xiao-long

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Shenzhen
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1317
  • Lastpage
    1322
  • Abstract
    Multi-channel and multi-radio wireless mesh networks (WMNs), one of next generation network techniques, was arranged to cover larger extension and provide better wireless communication. WMNs, multi-hop wireless networks contribute to expand the territory of wired network and reduce upfront. Given several traffic demands on gateway nodes in the backbone network, how to fulfill them in minimum transmission period is one important issue. This problem is studied in this paper. Traffic flows are evenly allocated within network and more than one channel is assigned on one link, if network interface cards are enough. In addition, our simulation shows that, technology presented in this paper can improve network performance greatly. Transmission period is much smaller than that of centralized greedy channel assignment and minimum hop routing. At the same time, network average interference can be reduced by a certain degree.
  • Keywords
    radio networks; telecommunication network routing; telecommunication traffic; backbone network; centralized greedy channel assignment; minimum hop routing; minimum transmission period; multichannel networks; multihop wireless networks; multiradio wireless mesh networks; network average interference; network interface cards; next generation network techniques; Interference; Network interfaces; Next generation networking; Routing; Spine; Spread spectrum communication; Telecommunication traffic; Traffic control; Wireless communication; Wireless mesh networks; Channel assignment; Network optimization; Routing; Wireless Mesh Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620609
  • Filename
    4620609