Clock Drift and Time Error Compensation with Neural Network for Time Synchronization in TSN

Yang, Yiheng; Yao, Chenlong; Shou, Guochu; Liu, Yaqiong; Li, Zhifu; Li, Hongxing; Hu, Yihong

doi:10.1109/iaeac59436.2024.10503999

2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) 2024

DOI: 10.1109/iaeac59436.2024.10503999

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Clock Drift and Time Error Compensation with Neural Network for Time Synchronization in TSN

Yiheng Yang,

Chenlong Yao,

Guochu Shou

et al.

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Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions

Zhang,

Wang,

Xue

et al. 2024

ACM Comput. Surv.

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With the introduction of Cyber-Physical Systems (CPS) and Internet of Things (IoT) technologies, the automation industry is undergoing significant changes, particularly in improving production efficiency and reducing maintenance costs. Industrial automation applications often need to transmit time- and safety-critical data to closely monitor and control industrial processes. Several Ethernet-based fieldbus solutions, such as PROFINET IRT, EtherNet/IP, and EtherCAT, are widely used to ensure real-time communications in industrial automation systems. These solutions, however, commonly incorporate additional mechanisms to provide latency guarantees, making their interoperability a grand challenge. The IEEE 802.1 Time-Sensitive Networking (TSN) task group was formed to enhance and optimize IEEE 802.1 network standards, particularly for Ethernet-based networks. These solutions can be evolved and adapted for cross-industry scenarios, such as large-scale distributed industrial plants requiring multiple industrial entities to work collaboratively. This paper provides a comprehensive review of current advances in TSN standards for industrial automation. It presents the state-of-the-art IEEE TSN standards and discusses the opportunities and challenges of integrating TSN into the automation industry. Some promising research directions are also highlighted for applying TSN technologies to industrial automation applications.

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Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions

Zhang,

Wang,

Xue

et al. 2024

ACM Comput. Surv.

View full text Add to dashboard Cite

show abstract

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Clock Drift and Time Error Compensation with Neural Network for Time Synchronization in TSN

Cited by 1 publication

References 11 publications

Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions

Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions

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