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20 October 2023 A two-stage task scheduling algorithm for unmanned aerial vehicles-assisted mobile edge computing
Hua Qu, Yucheng Xue, Jihong Zhao, Qian Gao, Xing Li
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Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291613 (2023) https://doi.org/10.1117/12.3005000
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China
Abstract
Unmanned Aerial Vehicle (UAV) into Mobile Edge Computing (MEC) systems can effectively expand their flexibility and coverage. The current research trend in UAV-assisted MEC is mainly focused on optimizing flight control and minimizing energy consumption. However, there is a lack of research on task scheduling in UAV-assisted MEC scenarios. This paper proposes a two-stage task scheduling method that minimizes the task processing cost while optimizing task execution order to reduce the execution time of tasks. The results of the study show that the proposed algorithm outperforms other baseline methods in terms of completing all tasks with the shortest execution time. This further validates the efficiency of the proposed algorithm and its potential for improving the system efficiency of UAV-assisted MEC.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Hua Qu, Yucheng Xue, Jihong Zhao, Qian Gao, and Xing Li "A two-stage task scheduling algorithm for unmanned aerial vehicles-assisted mobile edge computing", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291613 (20 October 2023); https://doi.org/10.1117/12.3005000
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KEYWORDS
Unmanned aerial vehicles
Data transmission
Relays
Process modeling
Computing systems
Mathematical optimization
Telecommunications
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