Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Tan, Lin;Guo, Songtao*;Zhou, Pengzhan;Kuang, Zhufang;Long, Saiqin;...

通讯作者：

Guo, Songtao;Zhou, PZ

作者机构：

[Guo, Songtao; Zhou, Pengzhan; Guo, ST; Tan, Lin] Chongqing Univ, Key Lab Dependable Serv Comp Cyber Phys Soc, Minist Educ, Chongqing 400044, Peoples R China.

[Guo, Songtao; Zhou, Pengzhan; Guo, ST; Tan, Lin] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China.

[Kuang, Zhufang] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.

[Long, Saiqin; Li, Zhetao] Jinan Univ, Coll Informat Sci & Technol, Natl Joint Engn Res Ctr Network Secur Detect & Pro, Guangzhou 510632, Peoples R China.

通讯机构：

[Zhou, PZ ; Guo, ST] C

Chongqing Univ, Key Lab Dependable Serv Comp Cyber Phys Soc, Minist Educ, Chongqing 400044, Peoples R China.

Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China.

语种：

英文

关键词：

Autonomous aerial vehicles;Task analysis;Collaboration;Edge computing;Servers;Optimization;Resource management;multi-UAV deployment;task offloading;resource allocation;differential evolution;deep reinforcement learning

期刊：

IEEE Transactions on Intelligent Transportation Systems

ISSN：

1524-9050

年：

2024

DOI：

10.1109/TITS.2024.3432818

基金类别：

National Natural Science Foundation of China [62272069, 62202072, 62203077, 62072477]; Natural Science Key Foundation of Chongqing [CSTB2024NSCQ-LZX0129]; Fundamental Research Funds for the Central Universities [2023CDJYGRH-ZD06, 2021CDJXDJH006]; Hunan Provincial Natural Science Foundation of China [2024JJ5648]; National Key Research and Development Program of China [2023YFD2201703]

机构署名：

本校为其他机构

院系归属：

计算机与信息工程学院

摘要：

Unmanned aerial vehicle (UAV) edge computing systems provide easy-to-deploy and low-cost services at those areas with inadequate infrastructure by deploying UAVs as moving edge servers for large-scale users. However, user devices are generally distributed unevenly in a large area, which makes it difficult for existing efforts to cope with this realistic scenario for optimal deployment of UAVs. Therefore, this paper considers a multiple UAV (Multi-UAV) Collaborative edge Computing (UCC) system by utilizing collaboration among them to split computation tasks at UAVs to balance the load and impro...

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