• DocumentCode
    3777714
  • Title

    Power allocation of jamming attackers against PEV charging stations: A game theoretical approach

  • Author

    Zhesheng Zhang;Wei Yuan;Fanyu You

  • Author_Institution
    School of Electron. Inf. & Commun., Huazhong University of Science and Technology, Wuhan, China
  • fYear
    2015
  • Firstpage
    111
  • Lastpage
    116
  • Abstract
    This paper considers a system consisting of multiple attackers, lots of charging stations and plug-in electric vehicles (PEVs). The attackers conduct channel jamming attacks and benefit from snatching customers (i.e., PEVs) from the victim charging stations. Suppose that the attackers are selfish and they attempt to maximize their own average net revenue per unit time. We aim to investigate the problem of how to appropriately choose its transmit power to conduct the jamming attack for every attacker. We formulate this problem as a noncooperative game, and show the existence of its solution, i.e., a Nash equilibrium (NE). Due to the existence of some coupling constraints, the game is a Generalized Nash equilibrium problem (GNEP), which is usually hard to solve. To overcome this challenge, here we introduce a variation inequality (VI) approach. More specifically, we treat the game as a VI problem, and prove the existence of its solution. We develop an iterative algorithm to compute the solution to the VI problem, which corresponds to an NE of our game. Numerical results demonstrate the effectiveness and the efficiency of our proposed algorithm.
  • Keywords
    "Jamming","Games","Interference","Charging stations","Resource management","Electric vehicles","Nash equilibrium"
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2015 7th International Conference of
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2015.7492792
  • Filename
    7492792