Resreach Of P2P Incentive Mechanism Based On Evolutionary Game Theory

P2P (peer-to-peer) network has the characteristics of dynamic, anonymity and self-organization, and most of the nodes in P2P network are lack of positive attitude to provide services to the others. So the problems of free-riding, the tragedy of common, and whitewashing in reputation model have becoming more and more serious.On the basis of analysis and summary of the existing incentive mechanism and research of the evolutionary game theory which based on the assumption of boundedly rationality and has advantage in research of the nodes'behavior in P2P system over the traditional game theory, and in order to solve the above three problems, a novel incentive mechanism with punishment based on reputation model is proposed.This paper uses evolutionary game theory to analysis and prove that under certain conditions the new mechanism can solve the above three problems of free-riding, the tragedy of common and whitewashing. Then, based on game theory we calculate the best solution of the nodes' contribution.Finally, we use the simulation methods by using the specific parameter settings to verify the following conclusion:under certain conditions, the punishment mechanism can prevent whitewashing, and the reputation model with punishment mechanism can prevent free-riding and the tragedy of common, and the accuracy of best solution of the nodes'contribution formula.