• DocumentCode
    3038058
  • Title

    Game-based modeling of node cooperation in Ad Hoc networks

  • Author

    Wang, Kun ; Wu, Meng ; Ding, Chao ; Lu, Weifeng

  • Author_Institution
    Inst. of IOT & WSN, Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2010
  • fDate
    14-15 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In Ad Hoc network, all the network functions count on node cooperation. Forwarding packets of other nodes is a basic example of such cooperation. However, nodes may not be interested in forwarding the requesting packets due to selfish or malicious reasons, which significantly degrades the network performance. Therefore, in respect of node forwarding process, we propose a global punishment-based repeated-game model and investigate equilibrium conditions of packet forwarding strategies when the whole network is in a cooperative state. This model takes node rationales into consideration. Moreover, in order to reduce the selfish nodes´ future payoff to stimulate cooperation, metamodel is utilized to design forwarding strategies. Simulation results show that proposed game model with punishment mechanism can promote node forwarding probability.
  • Keywords
    ad hoc networks; game theory; ad hoc networks; equilibrium conditions; game-based modeling; global punishment-based repeated-game model; metamodel; network performance; node cooperation; node forwarding probability; packet forwarding; punishment mechanism; Ad hoc networks; Chaos; Computer networks; Educational institutions; Game theory; Mobile ad hoc networks; Nash equilibrium; Relays; Waste materials; Wireless sensor networks; Game theory; MANETs (Ad Hoc); Metamodel; Nash equilibrium; Node cooperation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communications Conference (WOCC), 2010 19th Annual
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-7597-1
  • Type

    conf

  • DOI
    10.1109/WOCC.2010.5510684
  • Filename
    5510684