• DocumentCode
    2694827
  • Title

    Preventing selfish behavior in Ad Hoc networks

  • Author

    Seredynski, M. ; Bouvry, P. ; Klopotek, M.A.

  • Author_Institution
    Univ. of Luxembourg, Luxembourg
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3554
  • Lastpage
    3560
  • Abstract
    Cooperation enforcement is one of the key issues in ad hoc networks. In this paper we proposes a new strategy driven approach that aims at discouraging selfish behavior among network participants. Each node is using a strategy that defines conditions under which packets are being forwarded. Such strategy is based on the notion of trust and activity of the source node of the packet. This way network participants are forced to forward packets and to reduce the amount of time spent in a sleep mode. To evaluate strategies we use a new game theory based model of an ad hoc network. A genetic algorithm (GA) is applied to find good strategies. Experimental results show that our approach makes selfish behavior unattractive.
  • Keywords
    ad hoc networks; game theory; genetic algorithms; ad hoc networks; game theory; genetic algorithm; node cooperation enforcement; packet forwarding; packet source node; selfish behavior; strategy driven approach; Ad hoc networks; Batteries; Costs; Energy consumption; Game theory; Genetic algorithms; Mobile ad hoc networks; Network topology; Packet switching; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424933
  • Filename
    4424933