JOURNAL ARTICLE

Mobile Edge Computing in Unmanned Aerial Vehicle Networks

Fuhui ZhouRose Qingyang HuZan LiYuhao Wang

Year: 2020 Journal:   IEEE Wireless Communications Vol: 27 (1)Pages: 140-146   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Unmanned aerial vehicle (UAV)-enabled communication networks are promising in the fifth and beyond wireless communication systems. In this paper, we shed light on three UAV-enabled mobile edge computing (MEC) architectures. Those architectures have been receiving ever increasing research attention for improving computation performance and decreasing execution latency by integrating UAV into MEC networks. We present a comprehensive survey for the state-of-the-art research in this domain. Important implementation issues are clarified. Moreover, in order to provide an enlightening guidance for future research directions, key challenges and open issues are discussed.

Keywords:
Computer science Open research Mobile edge computing Edge computing Key (lock) Latency (audio) Wireless Domain (mathematical analysis) Enhanced Data Rates for GSM Evolution Low latency (capital markets) Mobile computing Computer network Distributed computing Telecommunications Computer security

Metrics

257
Cited By
55.55
FWCI (Field Weighted Citation Impact)
14
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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