journal article·2024Open access

Graph Attention Residual Network Based Routing and Fault-Tolerant Scheduling Mechanism for Data Flow in Power Communication Network

Zhihong Lin, Zeng Zeng, Yituan Yu, Yinlin Ren, Xuesong Qiu, Jinqian Chen

Computers, Materials & Continua· Volume 81· Issue 1

Abstract

For permanent faults (PF) in the power communication network (PCN), such as link interruptions, the time-sensitive networking (TSN) relied on by PCN, typically employs spatial redundancy fault-tolerance methods to keep servic... | Find, read and cite all the research you need on Tech Science Press
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Research context

OpenAlex topics: Power Systems and Technologies · Smart Grid Security and Resilience · Smart Grid and Power Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (38)

Show source-provided references
1. A survey of key protocols and application scenarios of time-sensitive networking
2. Fed-TSN: Joint failure probability-based federated learning for fault-tolerant time-sensitive networks10.1109/TNSM.2023.3273396 ↗
3. Fault tolerant list scheduler for time-triggered communication in time-sensitive networks10.12720/jcm.16.7.250-258 ↗
4. Fault-tolerant dynamic scheduling and routing for TSN based in-vehicle networks
5. On fault-tolerant scheduling of time sensitive networks
6. Reliability-aware scheduling and routing for messages in time-sensitive networking
7. ASIL-decomposition based routing and scheduling in safety-critical time-sensitive networking
8. Meta-heuristic-based multipath joint routing and scheduling of time-triggered traffic for time-sensitive networking in IIoT
9. Routing and scheduling of time-triggered traffic in time-sensitive networks10.1109/TII.2019.2950887 ↗
10. A heuristic-based dynamic scheduling and routing method for industrial TSN networks
11. Online rerouting and rescheduling of time-triggered flows for fault tolerance in time-sensitive networking10.1109/TCAD.2022.3197523 ↗
12. Self-Healing protocol: Repairing scheduels online after link failures in time-triggered networks
13. Run-time recovery and failure analysis of time-triggered traffic in time sensitive networks10.1109/ACCESS.2021.3092572 ↗
14. SRv6-based time-sensitive networks (TSN) with low-overhead rerouting10.1002/nem.2215 ↗
15. Achieving safety and performance with reconfiguration protocol for ethernet TSN in automotive systems10.1016/j.sysarc.2021.102208 ↗
16. Joint routing and scheduling with cyclic queuing and forwarding for time-sensitive networks10.1109/TVT.2022.3216958 ↗
17. CQF-based joint routing and scheduling algorithm in time-sensitive networks
18. enDRTS: Deep reinforcement learning based deterministic scheduling for chain flows in TSN
19. Deep reinforcement learning aided no-wait flow scheduling in time-sensitive networks
20. Joint routing and scheduling optimization in time-sensitive networks using graph-convolutional-network-based deep reinforcement learning10.1109/JIOT.2022.3188826 ↗
21. Flexible cyclic queuing and forwarding for time-sensitive software-defined networks10.1109/TNSM.2022.3198171 ↗
22. Injection time planning: Making CQF practical in time-sensitive networking
23. On-line traffic scheduling optimization in IEEE 802.1 Qch based time-sensitive networks
24. An efficient pro-active fault-tolerance scheduling of IEEE 802.1Qbv time-sensitive network10.1109/JIOT.2021.3118002 ↗
25. Fault tolerance in time-sensitive networking with mixed-critical traffic
26. Delay characterization of mobile-edge computing for 6G time-sensitive services10.1109/JIOT.2020.3023933 ↗
27. Toward efficient time-sensitive network scheduling10.1109/TAES.2021.3127311 ↗
28. A comparison of fault-tolerance concepts for IEEE 802.1 time sensitive networks (TSN)
29. DRLS: A deep reinforcement learning based scheduler for time-triggered ethernet
30. Deep reinforcement learning based deterministic routing and scheduling for mixed-criticality flows10.1109/TII.2022.3222314 ↗
31. A comprehensive survey on graph neural networks10.1109/TNNLS.2020.2978386 ↗
32. Enhanced graph neural network framework based on feature and structural information
33. Real-time optimal scheduling for active distribution networks: A graph reinforcement learning method10.1016/j.ijepes.2022.108637 ↗
34. Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
35. DeepCQF: Making CQF scheduling more intelligent and practicable
36. Burst-aware time-triggered flow scheduling with enhanced multi-CQF in time-sensitive networks10.1109/TNET.2023.3264583 ↗
37. Joint time-frequency resource scheduling over CQF-based TSN-5G system
38. Reinforcement learning-based particle swarm optimization for End-to-End traffic scheduling in TSN-5G networks10.1109/TNET.2023.3276363 ↗