Joint UAV deployment, SF placement, and collaborative task scheduling in heterogeneous multi‐UAV‐empowered edge intelligence

To support artificial intelligence (AI)‐involved tasks offloaded from the mobile devices (MDs), it is necessary to equip the Unmanned Aerial Vehicle (UAV) with custom‐made co‐processor (CP) for handling AI workloads in multi‐UAV‐empowered Edge Intelligence. Existing CPU‐oriented task scheduling algo...

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Bibliographic Details
Published in:	IET communications Vol. 17; no. 5; pp. 641 - 657
Main Authors:	Wang, Yangang, Wei, Xianglin, Wang, Hai, Fan, Jianhua, Chen, Juan, Zhao, Kuang, Hu, Yongyang
Format:	Journal Article
Language:	English
Published:	Stevenage John Wiley & Sons, Inc 01.03.2023 Wiley
Subjects:	Algorithms Artificial intelligence Central processing units Collaboration CPUs Decision making Edge computing Energy consumption Evolutionary algorithms Evolutionary computation Field programmable gate arrays Greedy algorithms Heuristic iterative methods Linear programming Microprocessors Mixed integer mobile computing non‐linear programming Optimization Placement Pricing policies Response time Scheduling Software Task scheduling Unmanned aerial vehicles
ISSN:	1751-8628, 1751-8636
Online Access:	Get full text
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