A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN)
As Industry 5.0 progresses, the demand for zero-touch configuration in industrial automation and smart manufacturing is increasing. This paper proposes a dynamic configuration management framework for Time-Sensitive Networking (TSN), aiming to address the challenges of flexibility and adaptability i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/27/6/584 |
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| author | Junhui Jiang Shanyu Jin Xinghan Li Kaisong Zhang Baodan Sun |
| author_facet | Junhui Jiang Shanyu Jin Xinghan Li Kaisong Zhang Baodan Sun |
| author_sort | Junhui Jiang |
| collection | DOAJ |
| description | As Industry 5.0 progresses, the demand for zero-touch configuration in industrial automation and smart manufacturing is increasing. This paper proposes a dynamic configuration management framework for Time-Sensitive Networking (TSN), aiming to address the challenges of flexibility and adaptability in dynamic network environments. A zero-touch configuration model is presented for TSN by incorporating a Delay-Aware Shortest Path Search (DASPS) algorithm to improve scheduling success rates. Simulation results demonstrate the ability of the framework to reconfigure networks within 2.67 milliseconds. The DASPS algorithm achieves a scheduling success rate of 70.22% for 1000 TSN flows, in contrast to only 22.23% achieved by the Shortest Path Search (SPS) algorithm. The proposed model effectively adapts to dynamic network changes, guaranteeing real-time data transmission. To further evaluate system adaptability, path entropy is introduced as a metric to quantitatively assess the balance of scheduling outcomes under topological changes. In the event of link failures, path entropy experiences a sharp decline but rapidly recovers after reconfiguration, demonstrating the system’s strong self-healing capability. |
| format | Article |
| id | doaj-art-26d9461cbd1a4da5addae59ba170b50c |
| institution | Kabale University |
| issn | 1099-4300 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj-art-26d9461cbd1a4da5addae59ba170b50c2025-08-20T03:27:18ZengMDPI AGEntropy1099-43002025-05-0127658410.3390/e27060584A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN)Junhui Jiang0Shanyu Jin1Xinghan Li2Kaisong Zhang3Baodan Sun4College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaCollege of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaCollege of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaCollege of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaCollege of Computer Science and Technology, Harbin Engineering University, Harbin 150001, ChinaAs Industry 5.0 progresses, the demand for zero-touch configuration in industrial automation and smart manufacturing is increasing. This paper proposes a dynamic configuration management framework for Time-Sensitive Networking (TSN), aiming to address the challenges of flexibility and adaptability in dynamic network environments. A zero-touch configuration model is presented for TSN by incorporating a Delay-Aware Shortest Path Search (DASPS) algorithm to improve scheduling success rates. Simulation results demonstrate the ability of the framework to reconfigure networks within 2.67 milliseconds. The DASPS algorithm achieves a scheduling success rate of 70.22% for 1000 TSN flows, in contrast to only 22.23% achieved by the Shortest Path Search (SPS) algorithm. The proposed model effectively adapts to dynamic network changes, guaranteeing real-time data transmission. To further evaluate system adaptability, path entropy is introduced as a metric to quantitatively assess the balance of scheduling outcomes under topological changes. In the event of link failures, path entropy experiences a sharp decline but rapidly recovers after reconfiguration, demonstrating the system’s strong self-healing capability.https://www.mdpi.com/1099-4300/27/6/584Industry 5.0Time-Sensitive Networkingdynamic configuration management |
| spellingShingle | Junhui Jiang Shanyu Jin Xinghan Li Kaisong Zhang Baodan Sun A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) Entropy Industry 5.0 Time-Sensitive Networking dynamic configuration management |
| title | A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) |
| title_full | A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) |
| title_fullStr | A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) |
| title_full_unstemmed | A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) |
| title_short | A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) |
| title_sort | zero touch dynamic configuration management framework for time sensitive networking tsn |
| topic | Industry 5.0 Time-Sensitive Networking dynamic configuration management |
| url | https://www.mdpi.com/1099-4300/27/6/584 |
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