Abstract: The present disclosure discloses a method of multi-access edge computing task offloading based on D2D in IoV environment, which models a task offloading strategy, a transmission power and a channel resource allocation mode as a mixed integer nonlinear programming problem, wherein an optimization problem is to maximize the sum of time delay and energy consumption benefits of all CUE in cellular communication with a base station in the IoV system. This method has low time complexity, may effectively utilize channel resources of the IoV system, and ensures the delay reliability of the DUE for which the local V2V data exchange is performed in the form of D2D communication. In the meantime, the time delay and energy consumption of CUE are both close to the minimum, thus meeting the IoV requirements of low time delay and high reliability.

Abstract: The present disclosure discloses a method of multi-access edge computing task offloading based on D2D in IoV environment, which models a task offloading strategy, a transmission power and a channel resource allocation mode as a mixed integer nonlinear programming problem, wherein an optimization problem is to maximize the sum of time delay and energy consumption benefits of all CUE in cellular communication with a base station in the IoV system. This method has low time complexity, may effectively utilize channel resources of the IoV system, and ensures the delay reliability of the DUE for which the local V2V data exchange is performed in the form of D2D communication. In the meantime, the time delay and energy consumption of CUE are both close to the minimum, thus meeting the IoV requirements of low time delay and high reliability.