Research Article
An Incentive Mechanism for P2P Network Using Accumulated-Payoff Based Snowdrift Game Model
@INPROCEEDINGS{10.1007/978-3-319-47509-7_12, author={Ruoxi Sun and Wei Li and Haijun Zhang and Yong Ren}, title={An Incentive Mechanism for P2P Network Using Accumulated-Payoff Based Snowdrift Game Model}, proceedings={Game Theory for Networks. 6th International Conference, GameNets 2016, Kelowna, BC, Canada, May 11-12, 2016, Revised Selected Papers}, proceedings_a={GAMENETS}, year={2017}, month={1}, keywords={P2P Snowdrift game Incentive mechanism Scale-free network}, doi={10.1007/978-3-319-47509-7_12} }- Ruoxi Sun
Wei Li
Haijun Zhang
Yong Ren
Year: 2017
An Incentive Mechanism for P2P Network Using Accumulated-Payoff Based Snowdrift Game Model
GAMENETS
Springer
DOI: 10.1007/978-3-319-47509-7_12
Abstract
Cooperation between participators has played a very important role in P2P Network. Whereas, in contradiction to the original design philosophy of P2P file sharing system, it is difficult to guarantee the cooperation of these participators and hard to maintain a high stability of the network due to the selfishness of people without behavior constraints. In this paper, we propose a novel incentive mechanism using Accumulated-Payoff Based Snowdrift Game (APBSG) model to improve frequency of cooperation for P2P network. The performance analysis of this model and simulation results show that APBSG can reduce the sensitivity of cooperation to the selfishness of nodes, which promotes the cooperative behavior in P2P network to a large extent. Meanwhile, we reveal the relationship between the degree distribution and the frequency of cooperation by analyzing APBSG features under small-world and scale-free network. The result suggests that we can adopt different strategies according to degrees of nodes to achieve better stability for P2P network.