Research On Incentive Mechanism Based On Game Theory In Opportunity Network

The opportunity network is composed of flexible smart mobile devices.The network mainly relies on the "store-carrier-forward" method to complete the service.With the popularization of the existing mobile intelligent devices,the study of opportunity network has attracted the attention of many scholars.At present,there is a hypothesis that node actively forwards data for other nodes in opportunity network.However,when the node is limited by its own energy,memory space,CPU processing power.Nodes do not forward data in order to find interesting content and survive.Therefore,the node behaves selfishly.The Related research shows that selfish nodes can affect network performance.But the number of selfish nodes is large,the network will be paralyzed.Therefore,this paper proposes an incentive mechanism based on game theory to solve the problem of selfish nodes.This paper analyzes the causes of selfish nodes and their effects on network performance.This paper solves the problem of node selfish behavior according to the knowledge of trust and game theory.In this paper,the expected revenue is calculated based on the interaction process,selection strategy and utility function.Firstly,the single-stage game model is constructed.Secondly,the concept of trust is introduced and the trust is added to the punishment strategy of "Tit For Tat strategy".Finally,the infinite repetition game model is established.The factors affecting the single-stage game model and the infinite repetition game model were analyzed.The discount factor representing the future expectation was introduced into the repeated game model.The Nash equilibrium solution and the incentive consistency condition were obtained.The influence of the discount factor and the trust penalty period was analyzed on the node cooperation.The infinite repetition game model can not dynamically represent the game process.Therefore,this paper use thereplication dynamic equation to represent the dynamic evolution process of the infinite repetition game model drawing the evolution phase diagram of the stability.To verify the incentive mechanism proposed in this paper can promote network nodes to participate in the process of data forwarding.In this paper,ONE is selected to verify the effectiveness of the model.ONE is specially developed for opportunistic network environment.The simulation environment is built by configuring different parameter files.Simulation results show that the incentive mechanism based on game theory can effectively promote node cooperation,improve transmission success rate and reduce transmission delay.