• DocumentCode
    2098553
  • Title

    Transmission scheme selection based on coalition formation game in wireless sensor networks

  • Author

    Wu, Dan ; Cai, Yueming ; Li, Ning

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    11-14 Nov. 2010
  • Firstpage
    332
  • Lastpage
    337
  • Abstract
    Due to the constrained energy, energy efficiency becomes the primary objective in the design of wireless sensor networks, where extending network lifetime is considered as one of the energy efficient techniques. In addition, the advantage of the cooperative MIMO scheme over the non-cooperative SISO scheme doesn´t always exist, if considering the cost in term of the addition overhead. So we should focus on how to select a proper transmission scheme so as to achieve the energy efficiency. For this purpose, we model the transmission scheme selection problem as a non-transferable coalition formation game with the characteristic function based on the network lifetime. Further, we propose an algorithm using a simple merge-and-split rule based on the Pareto order to obtain the final coalitional structure which can reflect which transmission scheme is exploited, and which cluster nodes are chosen to collaborate with the cluster head. Furthermore, we give and analyze the properties of the proposed game model and algorithm, respectively. We also provide extensive simulation results which demonstrate the effectiveness of our proposed game model and algorithm.
  • Keywords
    MIMO communication; Pareto distribution; cooperative communication; wireless sensor networks; Pareto order; cluster head; coalition formation game; cooperative MIMO scheme; merge-and-split rule; network lifetime; noncooperative SISO scheme; transmission scheme selection; wireless sensor networks; Artificial intelligence; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2010 12th IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-6868-3
  • Type

    conf

  • DOI
    10.1109/ICCT.2010.5689220
  • Filename
    5689220