Centroid-Guided Target-Driven Topology Control Method for UAV Ad-Hoc Networks Based on Tiny Deep Reinforcement Learning Algorithm-Reference-Cited by-同舟云学术

Centroid-Guided Target-Driven Topology Control Method for UAV Ad-Hoc Networks Based on Tiny Deep Reinforcement Learning Algorithm

Published:2024-06-15 Issue:12 Volume:11 Page:21083-21091
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Li Jiaxin¹^ORCID,Yi Peng¹^ORCID,Duan Tong¹^ORCID,Wang Yawen¹^ORCID,Zhang Zhen¹,Yu Jing¹^ORCID,Hu Tao¹^ORCID

Affiliation:

1. Department of Information & Communication Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China

Funder

National Key Research and Development Program for Young Scientists of China

Key Science and Technology Project of Henan Province: Research and Demonstration Application of Key Technology for Endogenous Safety in Intelligent Networked Vehicles

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10472321.pdf?arnumber=10472321

Reference23 articles.

1. Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends

2. A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

3. UAV Swarm Intelligence: Recent Advances and Future Trends

4. Flying Ad-Hoc Networks (FANETs): A survey

5. Self-Organization Drone-Based Unmanned Aerial Vehicles (UAV) Networks

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