Multi-UAV Cooperative Search in Multi-Layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Multi-UAV Cooperative Search in Multi-Layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach

Published:2024-06-09 Issue: Volume: Page:2791-2796
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Wu Jiaqi¹,Luo Jingjing¹,Jiang Changkun²,Gao Lin¹

Affiliation:

1. School of Electronics and Information Engineering, Harbin Institute of Technology,Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology,Shenzhen,China

2. Shenzhen University,Department of Computer Engineering,Shenzhen,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622367.pdf?arnumber=10622367

Reference16 articles.

1. Multiple Moving Targets Surveillance Based on a Cooperative Network for Multi-UAV

2. Dynamic Discrete Pigeon-Inspired Optimization for Multi-UAV Cooperative Search-Attack Mission Planning

3. Autonomous Cooperative Search Model for Multi-UAV With Limited Communication Network

4. Multi-UAV Cooperative Search Based on Reinforcement Learning With a Digital Twin Driven Training Framework

5. Edge Computing Enabled Energy-Efficient Multi-UAV Cooperative Target Search

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