Research On Optimization Of Joint Resource Allocation In Vehicle Edge Network

The Internet of Vehicles combines vehicle-vehicle and vehicle-infrastructure communication modes to build a vehicle self-organizing network,which can effectively improve the safety and reliability of the transportation system.Vehicle-mounted terminal services include safe traffic services such as safety early warning and vehicle collision prevention,which require millisecond processing speeds.Therefore,it is necessary to consider introducing mobile edge computing into the Internet of Vehicles to form an in-vehicle edge network to optimize the offloading of computing tasks.On the one hand,it can increase the processing speed of computing tasks,and on the other hand,it can ensure the quality of network communication services.However,the current research on resource management and allocation of in-vehicle edge networks only considers guaranteeing the quality of in-vehicle terminal communication services,while ignoring the processing benefits of edge computing servers,and cannot effectively motivate edge computing servers to provide effective computing and communication services.Therefore,this thesis proposes a joint resource allocation optimization algorithm for the vehicle edge network.It not only considers the auction mechanism to increase the revenue of the edge computing server,but also considers the allocation of more computing and communication resources to the vehicle terminal with a higher security level task,thereby improving the vehicle Reliability of the edge network.The main contents of this thesis are as follows:(1)The optimization algorithm for joint allocation of vehicle edge network resources based on the auction of computing resources and communication resources is proposed.In order to solve the matching problem between multiple in-vehicle terminals and multiple edge computing servers in the Internet of Vehicles,a vehicle-mounted edge network computing offload model was constructed,and the computing resources and communication resources of the edge computing servers were auctioned to the vehicle-mounted terminal,and the successful vehicle-mounted terminal was bid.Offload the computing task to the corresponding edge computing server for processing.The optimization problem of joint allocation of vehicle edge network resources with the goal of maximizing the revenue of edge computing servers is constructed,and a multi-round joint auction algorithm is proposed.Vehicle terminals that successfully bid can directly obtain the services of edge computing servers,and vehicle terminals that fail to bid will be in the next round.In the auction,the bidding bid is increased according to the bidding strategy,and finally the edge computing server revenue is optimized.The simulation results show that compared with the traditional single-round sealed sequential combined auction algorithm,the proposed multi-round joint auction algorithm can effectively increase the revenue of edge computing servers.(2)The optimization algorithm for joint allocation of vehicle edge network resources based on the security priority of computing tasks is proposed.Aiming at the security problem of computing tasks in vehicle terminals,a vehicle edge network computing offload model is constructed to allocate more computing and communication resources to vehicle terminals with higher security tasks,improving the reliability of the Internet of Vehicles,and using network slicing technology.Allocate resources for vehicle-mounted terminals of the same security level task.Constructed a security priority based on-vehicle edge network resource joint allocation optimization problem,and proposed a network slicing resource scheduling algorithm.The vehicle-mounted terminal bids and bids according to the task security priority,and the edge computing server calculates the revenue,and prioritizes the vehicle-mounted terminal with a higher security level.Scheduling idle resources.The simulation results show that compared with the traditional optimized scheduling algorithm for reserved resources,the proposed algorithm can not only effectively increase the revenue of edge computing servers,but also ensure the reliability of the Internet of Vehicles.