Task Offloading And Content Caching Strategy For Vehicular Network Based On Edge Cooperation

With the continuous development of intelligent vehicle technology,related applications,which are computationally intensive and time delays ensitive,rapidly emerging and put forward higher and higher requiremen ts for vehicle terminal devices and vehicular networks.In order to meeting the users’ demands,the vehicular edge computing technology,which was born out of this,has also been extensively studied and applied.Vehicular edge computing technology deploys edge servers with computing and storage resources on roadside units closer to the vehicles and expands the vehicles computing and caching capacity.Thus,vehicle users can enjoy these high demand applications with lower latency and higher experience quality.However,in actual traffic scenarios,the number of vehicles in different regions results in different load pressures on edge ser vers.Relying solely on a single edge server is difficult to ensure the quality of service for vehicle users.In this regard,this paper proposes a vehicular edge computing task offloading and content caching scheme ba sed on multi edge cooperation,which aims to solve the problem of insu fficient utilization of system resources through multi edge cross region cooperation,so as to reduce the delay cost of vehicle users in the process of task offloading and content acquisition.The main research contents include the following two points:Firstly,this paper proposes a task offloading and resource allocation scheme based on multi edge collaboration for multi edge vehicle network scenarios.In order to fully utilize the edge resource and achieve load balancing.Considering that the vehicle adopts apartial offloading mode,the tasks can be processed on vehicles and further offloaded among edges.The channel allocation for wireless transmission in this process is also conducted.Then the optimization subject with goal of minimizing task processing delay is ultimately established.In order to improve the efficiency of solving optimization objectives and algorithm feasibility,this paper proposes a two-stage iterative algorithm based on game theory,which can obtain an optimal solution to the original problem in a lower time complexity.Simulation compared with other existing task offloading schemes under different scenarios shows that this scheme is effective in reducing vehicle task processing delays.Secondly,this paper proposes a vehicle content caching and distribu tion scheme based on multiedge collaboration.For the purpose of optimize the utilization of caching resources and vehicles content acquiring delay.Considering the overall benefits of the system,multiple edge servers jointly decide on the content caching scheme,while introducing vehi cles as edge caching nodes to assist content distribution.The content de livery nodes are chosen and communication resource are allocated.In ad dition,two types of content with different characteristics are considered,and the impact of user preferences on cache policies is taken into consideration Finally,an optimization problem was established with the goal of reducing the latency of users accessing content.Therefore,this paper proposes a two-stage heuristic algorithm which can efficiently solve the original problem and has practical application value.Through simulation and comparison with other content caching schemes under various sc enarios,the effectiveness of this scheme in optimizing vehicle acquisition content latency is proved.