Resource Allocation Research Based On Game Theory For Underwater Scenario

In recent years,as the exploitation of land resources has approached saturation,people have gradually turned their attention to underwater.The advancement of underwater business applications makes data traffic rapidly increase in underwater networks.The traditional underwater acoustic core network has already been under huge load pressure,and it is difficult to meet the requirements of users for communication service quality.With the development of wireless optical technology,the sound-light hybrid network as a more flexible network structure mode has gradually attracted the attention of experts and scholars.In this hybrid network,the wireless optical network is superimposed on the coverage of the underwater acoustic network.It can provide better service to the user nodes with a data rate superior to the underwater acoustic transmission.Therefore,the data traffic in the underwater acoustic network is offloaded into the wireless optical network for transmission,which can effectively alleviate the load pressure of the underwater acoustic network and improve the throughput of the system.However,in the current research on the allocation of network resources,there are few studies on underwater scenes,and no consideration is given to how to allocate network resources economically and effectively.In this paper,we use game theory as a breakthrough point,and carry out research on the game strategy of both users and operators to achieve the rational allocation of underwater network resources.Firstly,by analyzing the system requirements of the underwater network,the three modules-communication model,mobile model and data transmission model are designed in detail.And we completed the construction of the underwater networking structure.On the basis of this network structure,a network resource scheduling mechanism based on auction game theory is proposed.Through the auction,the underwater user node has a chance to offload data stream into the wireless optical network,using optical link to transmit.The algorithm considers the economic utility of users and operators as well as the overall performance level of the underwater network.Through the game between the two players,it finally proves that when the sum of the two players' utility is maximal,the overall offloading capability of the network is also improved.In the auction mechanism,the user's utility value is reduced due to the constant bidding.At the same time,since only user who wins the auction can access the wireless optical network,the fairness of the user is declining.Under this circumstance,we propose a network resource scheduling mechanism based on crowded game theory to solve the problem of user's utility and fairness.First of all,the user's utility function is given to determine whether to access the wireless optical network on the basis of link status of the current network.In addition,an offloading decision mechanism is proposed.According to this mechanism,it is judged whether the optimal wireless optical transmission can be realized,and corresponding decisions are made to maximize its utility.The simulation results show that based on the instantaneous data rate of the wireless light,the strategy of crowding games can avoid the collision problem caused by the excessive offloading of the data stream.In the case of ensuring the quality of service,maximize the network performance.