Research On Dynamic Routing Algorithm For Multi-hop Cognitive Radio Network Based On Game Theory

The technology of cognitive radio network is one of the hot pots in the field of wireless communication.In this paper,the related theory and key technology of multi-hop cognitive radio network has been elaborated.Based on game theory,we study the dynamic routing problem of multi-hop cognitive radio network problem.The main research work is as follows:Firstly,for the problem of multi-hop cognitive radio network routing,under the condition of satisfying the QoS of the primary user,the game model based on graph is established according to the different utility functions of the primary and secondary users.and a fair and effective alliance income distribution rule and a multi-hop cognitive radio network cooperative routing algorithm are proposed,and the stability of the algorithm is proved through theoretical analysis.Simulation results show that when the main user cooperative way to transmit the data,with the number of secondary users increasing,which can improve the throughput of the primary user significantly than the direct transmission way.The algorithm not only achieves the use of authorized spectrum resources by primary and secondary users,but also improves the suage of spectrum effectively.Secondly,a self node incentive mechanism is proposed based on evolutionary game theory for multi-hop cognitive radio network.According to the characteristics of multi-hop cognitive wireless network,the game model of node forwarding data is established.Then,a cooperative strategy based on condition is proposed to encourage the nodes to cooperate,and the dynamic and stability analysis of the incentive model is carried out by using evolutionary game theory.The mechanism allows the node in the game process through continuous adjustment,find the most in line with their own required interests of the game strategy.Simulation results show that,the convergence state of the network and the ability to resist some nodes variation are not the same due to the different proportions of the nodes.It also shows that the design of appropriate cost based on conditional cooperation can effectively improve the effectiveness of the incentive mechanism and reduce the adverse effects of selfish nodes on the performance of multi-hop cognitive radio network communication.