Research on unmanned aerial vehicle-assisted communication and information security issues based on mobile edge computing

Yulong Tang; Erqing Zhang; Yanan Cai; Likun Lu; Weichun Yang

doi:10.1117/12.3028947

22 May 2024 Research on unmanned aerial vehicle-assisted communication and information security issues based on mobile edge computing

Yulong Tang, Erqing Zhang, Yanan Cai, Likun Lu, Weichun Yang

Author Affiliations +

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317617 (2024) https://doi.org/10.1117/12.3028947
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

Unmanned Aerial Vehicle (UAV)-assisted mobile edge computing (MEC) technology has garnered extensive attention with the widespread adoption of 5G technology, owing to its flexibility, improved system capacity and computational capabilities, and ability to overcome complex geographical environments. This paper initially elucidates the advantages of UAV-assisted MEC systems in the current communication domain, outlining the definitions of various modules within the UAV-assisted MEC architecture. Subsequently, it summarizes the main application scenarios and key technologies, providing a concise description of the design approach for UAV MEC systems and highlighting the information security issues therein. Finally, the paper discusses the challenges and prospects for future research in this field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yulong Tang, Erqing Zhang, Yanan Cai, Likun Lu, and Weichun Yang "Research on unmanned aerial vehicle-assisted communication and information security issues based on mobile edge computing", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317617 (22 May 2024); https://doi.org/10.1117/12.3028947

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