The study of DDPG based spatiotemporal dynamic deployment optimization of Air-Ground ad hoc network for disaster emergency response

The study of DDPG based spatiotemporal dynamic deployment optimization of Air-Ground ad hoc network for disaster emergency response

In situations where natural disasters damage public communication networks, self-organized emergency communication networks play a vital role as important resources for disaster monitoring and emergency response. Geographical conditions, communication capacity, power availability, terminals’ positio...

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Bibliographic Details
Main Authors: Yuhui Zeng, Xicheng Tan, Moquan Sha, Zeenat Khadim Hussain, Tongliang Lin, Jianguang Tu, Huamin Wang, Bocai Liu, Chaopeng Li, Fang Huang, Zongyao Sha
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Deep Reinforcement Learning
Ad Hoc Network
Spatiotemporal Optimization
Artificial Intelligence
Disaster Monitoring
Emergency Response
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224000621

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http://www.sciencedirect.com/science/article/pii/S1569843224000621

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