Offloading Strategies for Mobile Edge Computing Based on Multi-Attribute Preferences in Smart Grids

In recent years, with the emergence of new services such as intelligent inspection and distributed power supply, power wireless networks carry more and more types of services, which have different requirements for communication delay, reliability, bandwidth, and service priority. Mobile Edge Computing (MEC) can meet the differentiated quality of service requirements of today's smart power services, while also improving business efficiency. In this paper, we propose a multi-attribute preference offloading decision scheme for power MEC scenarios. The method mainly focuses on the preference of different power services for service quality requirements, and constructs a resource allocation scheme that can guarantee the priority transmission of urgent power services while taking into account user preferences, with the goal of minimizing user task delay costs and energy costs, so as to maximize system benefits. Simulation results demonstrate the effectiveness of this scheme.