• DocumentCode
    631674
  • Title

    DGA: Distributed genetic algorithm based relay assignment in cooperative communication

  • Author

    Ruijian An ; Yusheng Ji

  • Author_Institution
    Nat. Inst. of Inf., Grad. Univ. for Adv. Studies, Tokyo, Japan
  • fYear
    2013
  • fDate
    1-5 July 2013
  • Firstpage
    861
  • Lastpage
    866
  • Abstract
    A crucial challenge in the implementation of cooperative protocol is how to assign relay nodes properly. In this paper, we address the relay assignment issue in the wireless networks where the source nodes, destination nodes and relay nodes are randomly distributed in a large area. Without any kind of central controller, we try to solve the relay assignment problem in a distributed manner with the local information. Based on this network model, we developed a Distributed Genetic Algorithm (DGA) based scheme to pursue a better system capacity compared with other distributed algorithms. We also presented a brief discussion and analysis on the DGA algorithm. At last, extensive simulations show that the DGA outperforms other distributed algorithms with obvious improvement of the system capacity and converges fast.
  • Keywords
    cooperative communication; distributed algorithms; genetic algorithms; protocols; relay networks (telecommunication); DGA algorithm; central controller; cooperative communication; cooperative protocol; destination nodes; distributed genetic algorithm based relay assignment; relay assignment problem; relay nodes; source nodes; system capacity; wireless networks; Algorithm design and analysis; Biological cells; Computational modeling; Genetic algorithms; Relays; Sociology; Statistics; Cooperative communication; Distributed genetic algorithms; Relay assignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International
  • Conference_Location
    Sardinia
  • Print_ISBN
    978-1-4673-2479-3
  • Type

    conf

  • DOI
    10.1109/IWCMC.2013.6583670
  • Filename
    6583670