Deep Reinforcement Learning-Based Deployment Method for Emergency Communication Network

Deep Reinforcement Learning-Based Deployment Method for Emergency Communication Network

Emergency communication networks play a crucial role in disaster relief operations. Current automated deployment strategies based on rule-driven or heuristic algorithms struggle to adapt to the dynamic and heterogeneous network environments in disaster scenarios, while manual command deployment is c...

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Bibliographic Details
Main Authors: Bo Huang, Yiwei Lu, Hao Ma, Changsheng Yin, Ruopeng Yang, Yongqi Shi, Yu Tao, Yongqi Wen, Yihao Zhong
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
emergency communication
reinforcement learning
neural network
deployment problem
Online Access:https://www.mdpi.com/2076-3417/15/14/7961
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