An energy-efficient multi-stage alternating optimization scheme for UAV-mounted mobile edge computing networks-Reference-Cited by-同舟云学术

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An energy-efficient multi-stage alternating optimization scheme for UAV-mounted mobile edge computing networks

Published:2023-08-21 Issue:1 Volume:106 Page:57-80
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Wang Zhenqian^ORCID,Rong Huigui

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hunan Province of China

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-023-01210-9.pdf

Reference32 articles.

1. Pham Q-V, Fang F, Ha VN, Le M, Ding Z, Le LB, Hwang W-J (2019) A survey of multi-access edge computing in 5G and beyond: fundamentals, technology integration, and state-of-the-art. arXiv preprint arXiv:1906.08452

2. Siriwardhana Y, Porambage P, Liyanage M, Ylianttila M (2021) A survey on mobile augmented reality with 5G mobile edge computing: architectures, applications, and technical aspects. IEEE Commun Surv Tutor 23(2):1160–1192

3. Huda SA, Moh S (2022) Survey on computation offloading in UAV-Enabled mobile edge computing. J Netw Comput Appl 201:103341

4. Abrar M, Ajmal U, Almohaimeed ZM, Gui X, Akram R, Masroor R (2021) Energy efficient UAV-enabled mobile edge computing for IoT devices: a review. IEEE Access 9:12779

5. Li C, Xia J, Liu F, Li D, Fan L, Karagiannidis GK, Nallanathan A (2021) Dynamic offloading for multiuser muti-CAP MEC networks: a deep reinforcement learning approach. IEEE Trans Veh Technol 70(3):2922–2927

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1. Back-and-Forth (BaF): a new greedy algorithm for geometric path planning of unmanned aerial vehicles;Computing;2024-07-01

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