• DocumentCode
    2768009
  • Title

    P2P File Sharing System over MANET based on Swarm Intelligence: A Cross-Layer Design

  • Author

    Hoh, Cheng-Chang ; Hwang, Ren-Hung

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chung-Cheng Univ.
  • fYear
    2007
  • fDate
    11-15 March 2007
  • Firstpage
    2674
  • Lastpage
    2679
  • Abstract
    The dynamic nature of MANET causes many challenges in designing robust and scalable P2P system. Although flooding-based techniques are shown to be robust in highly dynamic network, it leads to poor efficiency in terms of bandwidth usage and scalability. In this paper, we propose an efficient and scalable P2P file sharing system based on swarm intelligence for MANET, referred to as P2PSI. By applying the behavior of the real ant colonies, P2PSI owns the capability of adaptive learning and is able to cope with mobility problem without flooding. Moreover, we also present a cross-layer architecture for P2PSI to reduce the redundant message overhead and query latency. Performance of our cross-layer design P2PSI is compared with two existing cross-layer design service discovery protocols, namely, CLdsr and CLdsr through simulations. The simulation results show that our cross-layer design P2PSI achieves better performance in terms of control overhead, request success ratio, and path length.
  • Keywords
    ad hoc networks; learning (artificial intelligence); mobile communication; particle swarm optimisation; peer-to-peer computing; MANET; P2P file sharing system; adaptive learning; cross-layer design; flooding-based techniques; query latency; redundant message overhead; service discovery protocols; swarm intelligence; Broadcasting; Communications Society; Cross layer design; Delay; Mobile ad hoc networks; Particle swarm optimization; Peer to peer computing; Protocols; Robustness; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
  • Conference_Location
    Kowloon
  • ISSN
    1525-3511
  • Print_ISBN
    1-4244-0658-7
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2007.497
  • Filename
    4224742