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This paper presents a Graph Attention Residual Network-based routing and fault-tolerant scheduling mechanism (GRFS) for data flow in power communication networks, addressing issues of permanent faults that disrupt time-sensitive networking (TSN). The proposed system architecture utilizes a cyclic queuing and forwarding model and incorporates a D3QN algorithm to optimize routing and scheduling, significantly improving performance metrics in both ideal and fault states. Simulation results indicate that GRFS o

Author
hemalatha
Language
EN

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