• DocumentCode
    1701077
  • Title

    USMI: An Ultra-Node Selection Mechanism with Incentive in P2P Network

  • Author

    Ying, Huo ; Zhigang, Chen

  • Author_Institution
    Coll. of Comput. Sci., Shaoguan Univ., Shaoguan, China
  • fYear
    2010
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    The performance of P2P networks have decreased severely because of the large number of free-riders. How to incentive nodes to provide service is an important factor to improve the performance of P2P networks. A novel ultra-node selection mechanism with incentive called USMI is presented in this paper. The main contributions of USMI are following: 1) any node in USMI has a value called utility. The utility integrates the parameters including physical capability, voluntary and anticipation to future, differing from the general ultra-node selection which is only based on physical capability and unconsidered free-riding. The ultra-nodes is selected based on the utility value; 2) the ultra-nodes are endow with supervising privilege and they can identify and prevent the free-riders through the parameter of voluntary; 3) the probability of supervising is calculated based on game theory. It´s been shown that USMI increases the total number of file shared, improves the file querying success rate, decreases the average querying hops, and ensures the cost is small at the same time in the Simulation experiments. The ultra-node overlay of USMI is steady and robust.
  • Keywords
    game theory; peer-to-peer computing; P2P network; USMI; game theory; incentive nodes; physical capability; ultra node overlay; ultra node selection mechanism; Bandwidth; Games; Network topology; Peer to peer computing; Probability; Robustness; Topology; P2P; free-riding; inspirit; supervise; ultra-node;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2010 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4244-8626-7
  • Electronic_ISBN
    978-0-7695-4258-4
  • Type

    conf

  • DOI
    10.1109/MINES.2010.36
  • Filename
    5670933