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28 July 2022 Delay optimization in UAV-enabled mobile-edge computing collaborative system
Shuaipeng Jia, Xinye Cai
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Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123030M (2022) https://doi.org/10.1117/12.2642591
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China
Abstract
Unmanned aerial vehicles (UAVs) have also been investigated to act as flying edge nodes due to their efficient mobility. In this paper, we build a collaborative mobile edge computing (MEC) system with multiple unmanned aerial vehicles and the base station (BS), where the UAVs and the BS are deployed as edge computing servers. In this system, we minimize the system delay by jointly optimizing the deployment of UAVs, task offloading, and resource allocation. To provide users with better service quality, a heuristic algorithm FIDE is proposed to solve this problem. First, we determine the location of UAVs by fuzzy clustering, then we get the optimal resource allocation by the Lagrange-multiplier method, and finally we apply the partitioning idea to group users and use co-evolution to obtain the offloading scheme of users. The simulation results show that our proposed approach outperforms other baseline approaches under the same conditions.
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Shuaipeng Jia and Xinye Cai "Delay optimization in UAV-enabled mobile-edge computing collaborative system", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123030M (28 July 2022); https://doi.org/10.1117/12.2642591
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KEYWORDS
Unmanned aerial vehicles
Computing systems
Fuzzy logic
Optimization (mathematics)
Evolutionary algorithms
Remote sensing
Systems modeling
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