Edge Task Offloading Method for Power Internet of Things Based on Multi-round Combined Auction

As a key technology of power Internet of Things, multi-access edge (MEC) computing promotes the deep integration of Internet of Things (IoT) and smart grid. However, most of the current studies carry out task offloading and resource allocation from the perspective of benefit to the user side, ignoring the motivation of the edge side to provide services. In this paper, a multi-round combined auction algorithm is proposed for the power Internet of Things scenario of multi-terminal business-multi-edge IoT agent, which can meet the needs of different levels of business while maximizing the edge side profits. The experimental results show that this method can effectively improve the edge profit, and has a good effect on the success rate of task offloading and the resource utilization of the edge IoT agent.