Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges
Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu, Chao Dong, and Rose, Qingyang Hu

TL;DR
This paper reviews the potentials, architectures, enabling technologies, and challenges of UAV swarm-enabled edge computing, highlighting its significance for future wireless networks and practical applications.
Contribution
It provides a comprehensive overview of UAV swarm-enabled edge computing, including potential applications, architectures, promising technologies, and future research challenges.
Findings
Identifies key enabling technologies for UAV swarm edge computing.
Discusses architectural designs and implementation considerations.
Outlines open challenges and future research directions.
Abstract
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.
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Taxonomy
TopicsUAV Applications and Optimization · Distributed Control Multi-Agent Systems · Advanced Image and Video Retrieval Techniques
