Application of Collaborative Computing in Multi UAV MEC Network Optimization
Absrtact:In order to improve the overall performance of multi UAV mobile edge computing(MEC)network,this paper introduces the application of cooperative computing in the optimization of multi UAV MEC network,analyzes the process of building the model of multi UAV cooperative computing network in detail,discusses the optimization solution methods under various unloading modes,and comprehensively evaluates and optimizes the simulation results.Firstly,a complete network model including drones,ground terminals,and communication links was established,laying the foundation for subsequent optimization work.Subsequently,for different unloading modes,this article adopts different optimization algorithms for solving,aiming to reduce system energy consumption and improve task completion efficiency.The simulation results show that through the application of collaborative computing,the multi drone MEC network can achieve performance optimization in various offloading modes,especially in reducing computing latency and improving resource utilization,achieving significant results.