• DocumentCode
    3449009
  • Title

    Power Control Based on Non-cooperative Game in Wireless Sensor Networks

  • Author

    Li Hui ; Liu Chun ; Li Hua

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2013
  • fDate
    1-3 Nov. 2013
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    How to improve the energy utilization efficiency and prolong survival time of network has been an important issue in the field of wireless sensor network. In view of the energy-constrained situation in wireless sensor networks, we introduce game theory with non-cooperative game mode to optimize the network energy distribution. Regard the sensor nodes as rational participants in the decision-making process, nodes have mutual dependency and can make their own decisions according to their own situation. We select the most favorable strategy for the node after weighing of various power strategies through rigorous mathematical theory and model derivation. In this paper, we prove the existence of Nash equilibrium in the proposed algorithm. The experimental data and simulation show that the model provided in the paper can really optimize the resource distribution and prolong the lifetime of networks.
  • Keywords
    decision making; game theory; optimisation; power control; telecommunication power management; wireless sensor networks; Nash equilibrium; decision-making process; energy utilization efficiency; game theory; mathematical theory; network energy distribution optimization; network survival time; noncooperative game mode; power control; sensor nodes; wireless sensor networks; Educational institutions; Game theory; Games; Mathematical model; Multiaccess communication; Power control; Wireless sensor networks; Wireless sensor networks; non-cooperative game; power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4799-2808-8
  • Type

    conf

  • DOI
    10.1109/ICINIS.2013.41
  • Filename
    6754690