期刊
IEEE WIRELESS COMMUNICATIONS
卷 29, 期 4, 页码 78-85出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.103.2100286
关键词
Autonomous aerial vehicles; Edge computing; Task analysis; Monitoring; Agriculture; Computer architecture; Vehicle dynamics
类别
资金
- National Key R&D Program of China [2020YFB1807602]
- National Natural Science Foundation of China [61901231, 62071223, 62031012, 61931011, 62222107, 62271267]
- Young Elite Scientist Sponsorship Program by CAST
- China Postdoctoral Science Foundation [2020M671480]
- Postdoctoral Science Foundation of Jiangsu Province [2020Z295]
- open project of the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology [KF20202102]
- National Key Scientific Instrument and Equipment Development Project [61827801]
This article presents the latest advancements in UAV swarm-enabled edge computing, including applications, architectures, implementation considerations, and enabling technologies. Moreover, future research directions, challenges, and open issues are outlined.
Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to be promising in the sixth generation wireless communication networks due to their wide application sensories and flexible deployment. However, most of the existing works focus on edge computing enabled by a single or a small scale UAVs, which are very different from UAV swarm-enabled edge computing. In order to facilitate the practical applications of UAV swarm-enabled edge computing, the state of the art research is presented in this article. The potential applications, architectures and implementation considerations are illustrated. Moreover, the promising enabling technologies for UAV swarm-enabled edge computing are discussed. Furthermore, we outline challenges and open issues in order to shed light on the future research directions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据