• DocumentCode
    2937179
  • Title

    Link Probability Based Opportunistic Routing Metric in Wireless Network

  • Author

    Li, Yanhua ; Liu, Yuan-an ; Luo, Pengkui

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing
  • Volume
    2
  • fYear
    2009
  • fDate
    6-8 Jan. 2009
  • Firstpage
    308
  • Lastpage
    312
  • Abstract
    Opportunistic routing is a new design trend of wireless network routing protocol. It takes good advantages of the broadcast nature of wireless network. The source can use multiple potential paths to deliver the packets to the destination. The routing metric used for selecting the forwarder lists is very important for designing the opportunistic routing scheme. In this paper, we propose a novel routing metric STR (successful transmission rate) to choose the forwarder list, which is based on total successful transmission rate. It considers multi-links contribution, instead of one "best" link information used in ETX. We also introduce the fair opportunistic routing with linear coding (FORLC) scheme using our STR metric. The extensive simulation results show that the opportunistic routing with our STR metrics can always outperform ETXbased ExOR scheme. The maximum benefit of the throughput using the STR based FORLC can be 30% more than the ETX based MORE. It also has at most 10 times throughputs than traditional routing protocol.
  • Keywords
    linear codes; radio networks; routing protocols; ETXbased ExOR scheme; fair opportunistic routing; linear coding; link probability; opportunistic routing metric; successful transmission rate; wireless network routing protocol; Broadcasting; Computer networks; Costs; Mobile communication; Mobile computing; Network coding; Routing protocols; Throughput; Unicast; Wireless networks; Opportunistic routing; routing metric; wireless routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-0-7695-3501-2
  • Type

    conf

  • DOI
    10.1109/CMC.2009.170
  • Filename
    4797138