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 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.

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Publication Details

Journal
Entropy
Published
2025-05-30
DOI
https://doi.org/10.3390/e27060584
Citations
1
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
1.49

Funders

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A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN)

Baodan Sun, Xinghan Li, Kaisong Zhang, Junhui Jiang et al.
1 citations
Entropy
Network Time Synchronization Technologies
1.49
article

A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN)

Baodan Sun, Xinghan Li, Kaisong Zhang, Junhui Jiang, Sheng Jin
article en
1 citations

Abstract

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.

EntropyVol. 27(6)
Harbin Engineering University (CN)
Central Universities in China
Openalex Percentile: Top 17%
Network Time Synchronization Technologies
1.49
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A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN) — Baodan Sun, Xinghan Li, et al. · Entropy (2025) | TGRS Research Map | TGRS