Reinforcement-Learning-Assisted Multi-UAV Task Allocation and Path Planning for IIoT-Reference-Cited by-同舟云学术

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Reinforcement-Learning-Assisted Multi-UAV Task Allocation and Path Planning for IIoT

Published:2024-08-15 Issue:16 Volume:11 Page:26766-26777
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhao Guodong¹^ORCID,Wang Ye²^ORCID,Mu Tong³,Meng Zhijun¹^ORCID,Wang Zichen¹

Affiliation:

1. School of Aeronautic Science and Engineering, Beihang University, Beijing, China

2. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China

3. Department of Automation, North China University of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10623554/10445457.pdf?arnumber=10445457

Reference40 articles.

1. UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges

2. Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting

3. Evaluating AoI-Centric HARQ Protocols for UAV Networks

4. Industrial Internet of Things: Challenges, Opportunities, and Directions

5. The wild west of drones: a review on autonomous- UAV traffic-management

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Guest Editorial Special Issue on Current Research Trends and Open Challenges for Industrial Internet of Things;IEEE Internet of Things Journal;2024-08-15

2. Rescue path planning for urban flood: A deep reinforcement learning–based approach;Risk Analysis;2024-08-11

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