Flow-of-traffic prediction program based mobile edge computing for Internet of vehicles using double auction

Flow-of-traffic prediction program based mobile edge computing for Internet of vehicles using double auction

Blog Article

With an aim of maximizing the efficiency of edge offloading and the resource utilization of edge computing server simultaneously, a new flow-of-traffic prediction based edge computing offloading solution was proposed for Internet of vehicles (IoV).Firstly, both the efficiency utility function of vehicle and the resource utilization of mobile edge computing (MEC) server were established by considering task Underwear priority.Next, the formulated dual-objective optimization problem was transformed into a double auction problem between vehicles and MEC servers.Finally, based on the designed flow-of-traffic based pricing Intimates Set Bottoms function of vehicle and MEC server, a McAfee auction algorithm was adopted to complete the edge computing process.

Simulation results show that benefiting from the flow-of-traffic prediction information, the proposed solution can significantly improve both the efficiency of computation offloading and the utilization of computation resource.