一种P2P网络的重复博弈激励机制

Incentive mechanisms for P2P network based on repeated game

P2P网络中节点的自私行为极大地降低了系统的可用性,相应解决方案是建立有效的激励机制。在借鉴博弈理论的基础上,并结合P2P网络的特点,提出了一种基于重复博弈的激励机制,构建了该模型的有限状态自动机。该模型通过引入对自私节点的惩罚机制,同时制定相关的行为规则,来激励理性节点为使其自身收益最大化而向整个网络贡献资源。仿真结果与分析表明该模型能有效地惩罚自私节点,威慑其放弃自私行为。

The selfishness of nodes degrades the system usability of P2P network.The corresponding solutions to this prob-lem could be establishing effective mechanisms of incentive.The features of P2P network is taken into account,an incentive model for P2P network is proposed in this paper,which comes from matching game.This paper also implements the finite state machine of the incentive model.Punishing mechanisms to selfish peers and some essential norms are introduced in this model,which stimulates rational peers to maximize their own utility and contribute their free resource.Analysis and simula-tion results testify that this model can effectively punish selfish peersa,nd make them drop selfish behaviors.