计算机科学
移动边缘计算
分布式计算
强化学习
数学优化
调度(生产过程)
作者
Runfeng Chen,Li Cui,Yuli Zhang,Jin Chen,Kailing Yao,Yang Yang,Changhua Yao,Han Han
出处
期刊:International Conference on Wireless Communications and Signal Processing
日期:2020-10-21
卷期号:: 245-250
被引量:2
标识
DOI:10.1109/wcsp49889.2020.9299801
摘要
With the advantages of flexibility, diversity and intelligence, unmanned aerial vehicle (UAV) networks have been widely used in executing missions, which can take advantage of mobile edge computing (MEC) technology to shorten the completion time of tasks. This paper investigates the minimization of total delay of all members in MEC-assisted UAV swarms. Firstly, the offloading model is proposed, where members adjust the offloading ratio and transmission channels jointly. And the First Come First Served (FCFS) Queuing Model is introduced in remote computing, which is proved to have a better performance than averaging computing resource. Secondly, the optimization problem is formulated as an offloading game. It is proved that the game is an exact potential game (EPG) and it has at least one pure strategy Nash Equilibrium (NE). To solve the NE, a distributed offloading algorithm based on concurrent best response (CBR) is designed. Finally, the simulations show that the convergence speed of the proposed algorithm is much faster than traditional BR and the proposed optimization method can reduce the delay of missions effectively.
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