On UAV Serving Node Deployment for Temporary Coverage in Forest Environment: A Hierarchical Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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On UAV Serving Node Deployment for Temporary Coverage in Forest Environment: A Hierarchical Deep Reinforcement Learning Approach

Published:2023-07 Issue:4 Volume:32 Page:760-772
ISSN:2075-5597
Container-title:Chinese Journal of Electronics
language:
Short-container-title:Chinese J. Elect.

Author:

Wang Li¹,Wu Xuewei²,Wang Yanhui²,Xiao Zhe¹,Li Liang¹,Fei Aiguo¹

Affiliation:

1. School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,China,100867

2. School of Electronic Engineering, Beijing University of Posts and Telecommunications,Beijing,China,100867

Funder

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9970761/10168779/10168809.pdf?arnumber=10168809

Reference21 articles.

1. An Initial Critical Summary of Models for Predicting the Attenuation of Radio Waves by Trees

2. Attenuation of Spruce, Pine, and Deciduous Woodland at C-Band

3. ITU-R P.833–9 (09/2016): 2016, Attenuation in Vegetation;P Series Radiowave Propagation,0

4. Collaborative Fuzzy Clustering From Multiple Weighted Views

Cited by 1 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. Maximizing UAV fog deployment efficiency for critical rescue operations: A multi-objective optimization approach;Future Generation Computer Systems;2024-10

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