survey

A Survey on UAV-Enabled Edge Computing: Resource Management Perspective

Authors:

Sheik Mohammad Mostakim Fattah,

Muhammad Ali BabarAuthors Info & Claims

ACM Computing Surveys, Volume 56, Issue 3

Article No.: 78, Pages 1 - 36

https://doi.org/10.1145/3626566

Published: 21 October 2023 Publication History

Abstract

Edge computing facilitates low-latency services at the network’s edge by distributing computation, communication, and storage resources within the geographic proximity of mobile and Internet-of-Things devices. The recent advancement in Unmanned Aerial Vehicle (UAV) technologies has opened new opportunities for edge computing in military operations, disaster response, or remote areas where traditional terrestrial networks are limited or unavailable. In such environments, UAVs can be deployed as aerial edge servers or relays to facilitate edge computing services. This form of computing is also known as UAV-enabled Edge Computing (UEC), which offers several unique benefits such as mobility, line-of-sight, flexibility, computational capability, and cost-efficiency. However, the resources on UAVs, edge servers, and Internet-of-Things devices are typically very limited in the context of UEC. Efficient resource management is therefore a critical research challenge in UEC. In this article, we present a survey on the existing research in UEC from the resource management perspective. We identify a conceptual architecture, different types of collaborations, wireless communication models, research directions, key techniques, and performance indicators for resource management in UEC. We also present a taxonomy of resource management in UEC. Finally, we identify and discuss some open research challenges that can stimulate future research directions for resource management in UEC.

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Index Terms

A Survey on UAV-Enabled Edge Computing: Resource Management Perspective
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. General and reference
  1. Document types
    1. Surveys and overviews

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 56, Issue 3

March 2024

977 pages

EISSN:1557-7341

DOI:10.1145/3613568

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Publication History

Published: 21 October 2023

Online AM: 04 October 2023

Accepted: 18 September 2023

Revised: 21 July 2023

Received: 09 October 2022

Published in CSUR Volume 56, Issue 3

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https://doi.org/10.1109/ACCESS.2025.3538676
Baktayan AZahary ASikora AWelte D(2024)Computational offloading into UAV swarm networks: a systematic literature reviewEURASIP Journal on Wireless Communications and Networking10.1186/s13638-024-02401-42024:1Online publication date: 7-Sep-2024
https://doi.org/10.1186/s13638-024-02401-4
Tao MLi XFeng JLan DDu JWu C(2024)Multi-Agent Cooperation for Computing Power Scheduling in UAVs Empowered Aerial Computing SystemsIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.345903542:12(3521-3535)Online publication date: 12-Sep-2024
https://dl.acm.org/doi/10.1109/JSAC.2024.3459035
Chen SDu PLiu ZQing CZhang X(2024)Energy-Efficient Trajectory Design and Computing Offloading in UAV-Aided IoT Networks2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops)10.1109/ICCCWorkshops62562.2024.10693739(1-6)Online publication date: 7-Aug-2024
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Qin LZheng YGao Y(2024)Enhancing UAV-based edge computing: a study on nonhovering operations and two-stage optimization strategiesApplied Intelligence10.1007/s10489-024-05737-y54:21(10780-10801)Online publication date: 1-Nov-2024
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