To solve the problem of task unloading when computing and communication resources are insufficient in the dynamic environment of Internet of vehicles,this paper proposed a multi-objective task unloading method oriented to vehicle edge computing.The paper established the communication model and computing model in vehicle edge computing,considered the task delay constraints of each vehicle application,designed a multi-objective optimization objective function,jointly optimized the delay and energy consumption costs,and proposed a multi-objective task unloading algorithm by introducing cross mutation,non-dominated sorting,congestion ranking and other technologies.The experiment shows that compared to other task offloading methods,the proposed method significantly reduces the processing time and energy consumption for tasks.
关键词
车联网/车辆边缘计算/任务卸载调度/遗传算法/多目标优化
Key words
internet of vehicles/vehicle edge computing/task offloading dispatching/genetic algorithm/multi-objective optimization
维普
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