• DocumentCode
    1788386
  • Title

    Information dissemination in vehicular networks via evolutionary game theory

  • Author

    Jun Zhang ; Gauthier, Vincent ; Labiod, Houda ; Banerjee, Adrish ; Afifi, Hossam

  • Author_Institution
    Telecom Paristech, Paris, France
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    124
  • Lastpage
    129
  • Abstract
    We study the problem of information dissemination in vehicular networks in this paper. Crucial information, such as traffic jamming status, is usually broadcasted inside the network. Each vehicle in the network has its own choice to either forward or drop packets for others. Although the energy consumption in general is not an issue in vehicular networks, forwarding every received packets is still not preferred as it may result in congestion in transmission. We model this problem via evolutionary game theory to investigate the cooperative behavior among vehicles. Simulation results show that, the cooperation ratio in the network is proportional to the setting of synergy factor for the evolutionary game. When nodes change their strategies according to the evolutionary game, information can be disseminated as fast as flooding scheme, while more bandwidth can be reserved.
  • Keywords
    cooperative communication; energy consumption; evolutionary computation; game theory; information dissemination; vehicular ad hoc networks; cooperative behavior; energy consumption; evolutionary game theory; information dissemination; traffic jamming status; vehicular networks; Ad hoc networks; Decision support systems; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883306
  • Filename
    6883306