Ant Colony Optimization Based Dynamic Scheduling Routing Algorithm in Internet of Vehicles

摘要

I use the average energy consumption and end-to-end delay as reference, virtualize resource features for resource allocation and task scheduling, and ensure QoS service quality through hybrid ant colony optimization algorithm and simulated annealing algorithm. Finally, the simulation results show that the average energy consumption drops by about 0.04J, and the end-to-end delay decreases by about 100ms.