Faulty Links’ Fast Recovery Method Based on Deep Reinforcement Learning

Faulty Links’ Fast Recovery Method Based on Deep Reinforcement Learning

Aiming to address the high recovery delay and link congestion issues in the communication network of Wide-Area Measurement Systems (WAMSs), this paper introduces Software-Defined Networking (SDN) and proposes a deep reinforcement learning-based faulty-link fast recovery method (DDPG-LBBP). The DDPG-...

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Bibliographic Details
Main Authors: Wanwei Huang, Wenqiang Gui, Yingying Li, Qingsong Lv, Jia Zhang, Xi He
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Algorithms
Subjects:
wide-area measurement system communication network
software-defined network
deep reinforcement learning
gated recurrent neural network
backup path
Online Access:https://www.mdpi.com/1999-4893/18/5/241
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