• DocumentCode
    3589406
  • Title

    A MANET multipath routing algorithm based on network coding

  • Author

    Wu, Chen ; Wei-wei, Hou ; Liang, Hong ; Zhen-xing, Yu

  • Author_Institution
    Dept. of Autom., Northwestern Polytech. of Univ., Xian, China
  • fYear
    2012
  • Firstpage
    5448
  • Lastpage
    5453
  • Abstract
    Most of current studies on Ad Hoc network use redundant transmission to ensure reliability of data transmission, such as multi-path or retransmission. The size of redundant transmission decides whether multipath transmission is efficient or not. Network coding technology provides a method which can effectively reduce the size of redundant transmission on multi-path traffic. Given Ad Hoc networks´ features, we establish a multi-path data transmission model and apply the linear random network coding method to it. Then, we propose a practical network coding scheme, complete code design of the network coding part, and successful implement the network coding/decoding process on qualnet5.0. Several comparative experiments are completed. The simulation results show that the improved protocol has significantly reduced the amount of 40% standard redundancy so as to improve network communication capacity.
  • Keywords
    data communication; decoding; mobile ad hoc networks; network coding; routing protocols; telecommunication network reliability; telecommunication traffic; MANET multipath routing algorithm; ad hoc network; data transmission reliability; linear random network coding method; multipath data transmission model; multipath traffic; network code design; network coding-decoding process; network communication capacity; qualnet 5.0 simulation; redundant transmission; Ad hoc networks; Data communication; Electronic mail; IP networks; Network coding; Redundancy; Routing; Ad Hoc; multi-path routing; network coding; qualnet5.0 simulation; redundant transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390891