Research On Task Offloading In Internet Of Vehicles Based On Mobile Cross-cell Edge Computing

With the continuous development of Internet of Vehicles(IOV)in the future,the data flow of automobile application is growing explodes.However,the on-board unit of the vehicle itself cannot meet the demand of Computing delay of its own application.The emergence of Mobile Edge Computing(MEC)technology can solve such problems well.MEC technology is to deploy the MEC server on the edge of the network close to the user,aiming to sink the functions of Mobile Cloud Computing(MCC)around the user.Thereby reducing the transmission delay between the user and the server,and better satisfying the large needs of users.At the same time,due to the use of mobile edge computing in the process of vehicle driving,there are still many resource constraints that need to be studied and resolved.For example,when the vehicle is moving across areas,the computing resources are limited,causing its own communication resources to become idle;and under different transmission modes Problems such as interference caused by channel reuse.Therefore,aiming at the problem of resource limitation in the Internet of Vehicles,this paper first analyzes the task unloading mode based on MEC in the Internet of Vehicles.Then,research the car network based on the relay coordination under the inter-district switch in unloading strategy ahead of time,the car in car networking inter-district task for limited unloading problems,based on the inter-district switch relay coordination unloading under the strategy of the task ahead of time delay optimization calculation,through the choice of the division of tasks and uninstall mode of the joint strategy to carry on the design,and the integrated design of time delay as the optimization goal,create task vehicle timing optimization calculation formula,above the choice of the unloading mode not only fully consider the car in addition to the task of vehicle in the network,other vehicles limited computing resources,The relationship between tasks and whether the results need to be returned are also analyzed when the tasks are divided.The simulation results show that compared with the dynamic unload scheduling strategy,the advance unload strategy proposed in this paper takes less time to complete the task.Final relay coordination in advance for strategy under unloading of channel multiplexing interference problems,based on relay coordination are studied in advance uninstall strategy channel resource allocation scheme,the scheme based on the modeling optimized system transmission rate,by the method of mathematical analysis,separate continuous variables and discrete variables analysis,and combined with the power control and channel matched to optimize the system transmission rate,channel matching using binary chart in Hungary algorithm for solving maximum matching.The simulation results show that the proposed optimization algorithm can improve the transmission rate of the system compared with the traditional method under the same task.