Joint Task Offloading Method Based on MEC in Internet of Vehicles

Abstract

With the rapid development of intelligent vehicles and the Internet of Things (IoT), Internet of Vehicles (IoV) technology is gradually being applied in more streets. However, traditional cloud computing is unable to meet the higher requirements of the IoV system. Mobile edge computing (MEC), which is suitable for mobile networks, provides a better paradigm for intelligent transportation systems (ITS). This paper proposes a joint task offloading method based on MEC (JTOM) in the IoV environment. Firstly, it obtains the sequence of transferable routes for onboard tasks in the system. Then, it determines the offloading location of the tasks based on the task requirements and computing resources. Finally, it optimizes multiple objectives using the non-dominated sorting genetic algorithm II (NSGA-II) with the latency and energy consumption as the optimization goals. In the end, experiments are conducted to prove the feasibility of JTOM.