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Volume 39 Issue 8
Aug.  2017
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LIU Hao, CHEN Zhigang, ZHANG Lianming. Research on Node Incentive Protocol in Selfish Mobile Peer-to-peer Network[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1986-1992. doi: 10.11999/JEIT161335
Citation: LIU Hao, CHEN Zhigang, ZHANG Lianming. Research on Node Incentive Protocol in Selfish Mobile Peer-to-peer Network[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1986-1992. doi: 10.11999/JEIT161335

Research on Node Incentive Protocol in Selfish Mobile Peer-to-peer Network

doi: 10.11999/JEIT161335
Funds:

The National Natural Science Foundation of China (61572191, 61571188), The Natural Science Foundation of Hunan Province (2017JJ2124), The Outstanding Youth Scientific Research Foundation of Department of Education, Hunan Province (15B125), The Key Construction Course of Computer Application Technology in Hunan Province

  • Received Date: 2016-12-08
  • Rev Recd Date: 2017-05-19
  • Publish Date: 2017-08-19
  • In view of the selfishness of nodes in mobile Peer-to-Peer (P2P) network, combined with its features of the resource-constrained, self-organization and opening, this paper proposes a novel Incentive Protocol DAIP of mobile P2P network based on Double Auction model of incomplete information on both sides. The incentive mechanism adopts virtual currency payment method. The node calculates the evaluation of a message forwarding based on the virtual currency, resource state of it and the property of message, then gives the corresponding price according to the evaluation and game strategy. Through the game analysis, the linear strategy Bayes Nash equilibrium solution of DAIP strategy is given, which makes each node to maximize its own benefits, encourages them to cooperate with the message forwarding, and then improves the success rate of message forwarding in the network system. Analysis and simulation show that this incentive mechanism is able to effectively reduce the system's energy consumption, improve the success rate of message forwarding in the whole network system, and improve the overall effectiveness of the system.
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