Digital-Twin-Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Digital-Twin-Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach

Published:2023-09-01 Issue:17 Volume:10 Page:15362-15375
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tang Xin¹^ORCID,Li Xiaohuan¹^ORCID,Yu Rong²^ORCID,Wu Yuan³^ORCID,Ye Jin⁴,Tang Fengzhu¹,Chen Qian¹

Affiliation:

1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, China

2. School of Automation, Guangdong University of Technology, Guangzhou, China

3. State Key Laboratory of Internet of Things for Smart City and the Department of Computer and Information Science, University of Macau, Macau, China

4. Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronics and Information, Guangxi University, Nanning, China

Funder

Guangxi Natural Science Foundation of China

National Natural Science Foundation of China

Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing

National Key Research and Development Program of China

Research Grant of University of Macau

Guangdong-Macau Joint Laboratory for Advanced and Intelligent Computing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10227658/10089851.pdf?arnumber=10089851

Reference31 articles.

1. Joint Deployment and Task Scheduling Optimization for Large-Scale Mobile Users in Multi-UAV-Enabled Mobile Edge Computing

2. Robust visual tracking with channel attention and focal loss

3. NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm

4. An iterative strategy for task assignment and path planning of distributed multiple unmanned aerial vehicles

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