BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network

BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network

To address the problems of poor applicability of existing fault link recovery algorithms in network topology migration and backup path congestion, this paper proposes a backup path algorithm based on graph convolutional neural to improve deep deterministic policy gradient. First, the BPDM-GCN backup...

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Bibliographic Details
Main Authors: Wanwei Huang, Huicong Yu, Yingying Li, Xi He, Rui Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Future Internet
Subjects:
wide-area measurement system communication network
software defined network
graph convolutional neural
backup path
Online Access:https://www.mdpi.com/1999-5903/17/5/194
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