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Cited by 126Network Time Synchronization TechnologiesIndustrial Automation and Control SystemsDigital Transformation in Industry

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

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Zhang, Tianyu, Wang, Gang, Xue, Chuanyu, Wang, Jiachen, Nixon, Mark, Han, Song·2025·ACM Computing Surveys
DOI 10.1145/3695248
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Abstract

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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Research works printed but not linked: 168

  1. 2024. Draft standard for local and metropolitan area networks: Timing and synchronization for time-sensitive applications – amendment: Hot standby and clock drift error reduction. IEEE P802.1ASdm Draft 2.4 2024 (June 2024).
  2. 10.1109/IEEESTD.2024.10542670 · DOI
  3. 3GPP. 2020. 5G; system architecture for the 5G system (5GS). 3rd Generation Partnership Project (3GPP), Technical Report (TR) 23.501 (2020). Version 16.5.1.
  4. 3GPP. 2024. Security architecture and procedures for 5G System. 3rd Generation Partnership Project (3GPP), Technical Specification (TS) 33.501 (03 2024). Version 18.5.0.
  5. 10.3390/s21154954 · DOI
  6. A. Ademaj, D. Puffer, D. Bruckner, G. Ditzel, L. Leurs, M. P. Stanica, P. Didier, R. Hummen, R. Blair, and T. Enzinger. 2019. Industrial automation traffic types and their mapping to QoS/TSN mechanisms. TSN Mechanisms (2019), 3.
  7. 10.1016/j.ijepes.2013.02.027 · DOI
  8. 10.1109/GLOCOM.2017.8254714 · DOI
  9. 10.1109/ETFA.2019.8868997 · DOI
  10. 10.23919/IFIPNetworking52078.2021.9472830 · DOI
  11. 10.1016/j.sysarc.2021.102137 · DOI
  12. 10.1109/LES.2021.3103061 · DOI
  13. 10.1109/OJIES.2021.3135524 · DOI
  14. 10.1109/ACCESS.2024.3369481 · DOI
  15. Mohd Aiman Kamarul Bahrin, Mohd Fauzi Othman, NH Nor Azli, and Muhamad Farihin Talib. 2016. Industry 4.0: A review on industrial automation and robotic. Jurnal Teknologi 78, 6-13 (2016), 137–143.
  16. 10.23919/IFIPNetworking52078.2021.9472810 · DOI
  17. 10.1145/3534879.3534921 · DOI
  18. 10.1109/JPROC.2019.2905334 · DOI
  19. 10.1145/3273905.3273922 · DOI
  20. 10.1016/j.comcom.2022.09.011 · DOI
  21. Mahesh Ganesh Bhat, Sushmit Bhattacharjee, Cenk Gündoğan, Konstantinos Alexandris, and Alexander Gogolev. 2023. CORECONF, NETCONF, and RESTCONF: Benchmarking network orchestration in constrained IIoT devices. IEEE Internet of Things Journal (2023).
  22. 10.17487/RFC7950 · DOI
  23. Stuart A. Boyer. 2009. SCADA: Supervisory Control and Data Acquisition. International Society of Automation.
  24. 10.1016/j.compind.2018.04.015 · DOI
  25. Simon Brooks and Ecehan Uludag. 2018. Time-Sensitive Networking: From Theory to Implementation in Industrial Automation. TTTech. White Paper.
  26. 10.1109/JPROC.2018.2888703 · DOI
  27. 10.1016/j.promfg.2020.01.083 · DOI
  28. Dave Cavalcanti, Stephen Bush, Marc Illouz, Genio Kronauer, Alon Regev, and Ganesh Venkatesan. 2020. Wireless TSN: Definitions, use cases & standards roadmap. Avnu Alliance (2020), 1–16.
  29. 10.1109/MCOMSTD.0002.2200039 · DOI
  30. 10.1109/JPROC.2019.2903414 · DOI
  31. CC-Link Partner Association (CLPA) 2023. CC-link IE TSN Compatible Product Development Method Guide. CC-Link Partner Association (CLPA). White Paper.
  32. 10.1109/NFV-SDN53031.2021.9665120 · DOI
  33. 10.1109/IECON49645.2022.9968577 · DOI
  34. 10.1145/2659787.2659812 · DOI
  35. 10.1109/ETFA.2018.8502528 · DOI
  36. 10.1109/RTCSA58653.2023.00029 · DOI
  37. Rubi Debnath, Philipp Hortig, Luxi Zhao, and Sebastian Steinhorst. 2024. Quantifying the impact of frame preemption on combined TSN shapers. arXiv preprint arXiv:2401.13631 (2024). · arXiv
  38. Paul Didier and Joseph Fontaine. 2017. Results, insights and best practices from IIC testbeds: Time-sensitive networking testbed. Industrial Internet Consortium (2017).
  39. 10.1007/978-3-319-63390-9_14 · DOI · Paper page
  40. 10.1109/MetroAeroSpace57412.2023.10189990 · DOI
  41. 10.1016/j.comcom.2022.11.014 · DOI
  42. 10.1109/ICCWorkshops50388.2021.9473542 · DOI
  43. 10.1109/NetSys.2019.8854500 · DOI
  44. János Farkas. 2018. Introduction to IEEE 802.1: Focus on the Time-Sensitive Networking Task Group. http://www.ieee802.org/1/files/public/docs2018/tsn-farkas-intro-0318-v01.pdf
  45. 10.1109/MCOMSTD.2018.8412457 · DOI
  46. 10.1016/j.sysarc.2023.102959 · DOI
  47. 10.1109/TCAD.2010.2048354 · DOI
  48. 10.1109/ACCESS.2024.3353466 · DOI
  49. 10.1109/ICC45041.2023.10279214 · DOI
  50. 10.1109/ICC45855.2022.9839193 · DOI
  51. 10.1016/j.comnet.2023.109606 · DOI
  52. 10.1109/ICII.2019.00044 · DOI
  53. 10.1109/ETFA.2018.8502597 · DOI
  54. Tao Gong, Tianyu Zhang, Xiaobo Sharon Hu, Qingxu Deng, Michael Lemmon, and Song Han. 2019. Reliable dynamic packet scheduling over lossy real-time wireless networks. In 31st Euromicro Conference on Real-Time Systems (ECRTS’19). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
  55. Michael Gundall, Christopher Huber, and Sergiy Melnyk. 2021. Integration of IEEE 802.1 AS-based time synchronization in IEEE 802.11 as an enabler for novel industrial use cases. arXiv preprint arXiv:2101.02434 (2021). · arXiv
  56. 10.1109/LCN52139.2021.9524955 · DOI
  57. 10.1109/ETFA46521.2020.9212162 · DOI
  58. Mark Hantel and Jordon Woods. 2022. The integration of time-sensitive networking into EtherNet/IP technologies. In The ODVA 2022 Industry Conference & 21st Annual Meeting.
  59. 10.1109/ICIT46573.2021.9453686 · DOI
  60. 10.1109/ICIT58233.2024.10540711 · DOI
  61. 10.1109/ETFA.2009.5347126 · DOI
  62. 10.3390/electronics11111666 · DOI
  63. Songhui Kwon and Hyoung-Kee Choi. 2020. Evolution of Wi-Fi protected access: Security challenges. IEEE Consumer Electronics Magazine 10, 1 (2020), 74–81.
  64. 10.1109/ETFA46521.2020.9212141 · DOI
  65. Christoph Lehr. 2023. Design and Limitations of a Software-based TSN End Station. Ph. D. Dissertation. Wien.
  66. 10.1016/j.compind.2015.08.004 · DOI
  67. 10.1109/ETFA46521.2020.9212116 · DOI
  68. 10.1109/ACCESS.2020.3035548 · DOI
  69. 10.4108/icst.simutools.2012.247747 · DOI
  70. 10.1016/j.sysarc.2021.102141 · DOI
  71. Yue Liu, Jizhao Lu, Yanru Wang, Hui Liu, Yalin Cao, and Lei Feng. 2023. Multicast wireless resource optimization for high-precision clock synchronization timing service in 5G-TSN. In International Conference on Computer Engineering and Networks. Springer, 190–199.
  72. Yinzhi Lu, Guofeng Zhao, Chinmay Chakraborty, Chuan Xu, Liu Yang, and Keping Yu. 2023. Time sensitive networking-driven deterministic low-latency communication for real-time telemedicine and e-health services. IEEE Transactions on Consumer Electronics (2023).
  73. Jordon Woods and Ludwig Winkel. 2020. IEC/IEEE 60802 TSN Profile for Industrial Automation. https://1.ieee802.org/tsn/iec-ieee-60802/
  74. Feng Luo, Bowen Wang, Zihao Fang, Zhenyu Yang, and Yifan Jiang. 2021. Security analysis of the TSN backbone architecture and anomaly detection system design based on IEEE 802.1 Qci. Security and Communication Networks 2021, 1 (2021), 6902138.
  75. 10.1109/TR.2020.3026689 · DOI
  76. 10.1109/DAC56929.2023.10247817 · DOI
  77. 10.1007/978-981-13-1165-9_6 · DOI
  78. 10.1145/3139258.3139283 · DOI
  79. Junhong Min, Woongsoo Kim, Jeongyeup Paek, and Ramesh Govindan. 2023. Effective routing and scheduling strategies for fault-tolerant time-sensitive networking. IEEE Internet of Things Journal (2023).
  80. 10.3390/electronics13040768 · DOI
  81. 10.1109/ACCESS.2019.2908613 · DOI
  82. 10.1109/COMST.2018.2869350 · DOI
  83. 10.1145/2997465.2997487 · DOI
  84. Rashid Nazir, Asif Ali Laghari, Kamlesh Kumar, Shibin David, and Munwar Ali. 2021. Survey on wireless network security. Archives of Computational Methods in Engineering (2021), 1–20.
  85. 10.1049/cmu2.12713 · DOI
  86. Mubarak Ojewale, Patrick Meumeu Yomsi, and Geoffrey Nelissen. 2018. On multi-level preemption in Ethernet. Proceedings of the Work-in-Progress Session (ECRTS 2018) (2018), 16–18.
  87. 10.1109/ISORC49007.2020.00017 · DOI
  88. 10.1109/ETFA45728.2021.9613246 · DOI
  89. 10.1109/WFCS60972.2024.10540899 · DOI
  90. 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00086 · DOI
  91. 10.1145/3664621 · DOI
  92. 10.23919/DATE.2019.8714953 · DOI
  93. 10.1109/ICCC59590.2023.10507361 · DOI
  94. 10.1109/ETFA.2018.8502479 · DOI
  95. PROFIBUS & PROFINET International (PI) 2021. PROFINET over TSN Guideline. PROFIBUS & PROFINET International (PI). White Paper.
  96. 10.1109/ETFA.2008.4638425 · DOI
  97. 10.1007/s42045-020-00029-8 · DOI
  98. 10.1007/s11241-023-09414-0 · DOI
  99. 10.1109/TII.2020.3017016 · DOI
  100. 10.1016/j.sysarc.2023.102852 · DOI
  101. Christian Schlegel, Anton Meindl, Stefan Schönegger, Bhagath Karunakaran, Huazhen Song, and Stéphane Potier. 2011. Industrial Ethernet Facts - The 5 Major Technologies. Whitepaper. POWERLINK 6 (2011).
  102. 10.1007/978-3-662-59895-5_13 · DOI
  103. 10.1109/MIE.2020.3048925 · DOI
  104. 10.1109/WFCS.2018.8402356 · DOI
  105. 10.1109/TII.2021.3131865 · DOI
  106. 10.1109/TII.2020.3007323 · DOI
  107. 10.1109/OJVT.2022.3205014 · DOI
  108. 10.1109/RTCSA55878.2022.00014 · DOI
  109. 10.1109/RTCSA55878.2022.00015 · DOI
  110. 10.3390/jsan12040052 · DOI
  111. 10.1109/BlackSeaCom52164.2021.9527833 · DOI
  112. 10.1109/TII.2018.2852491 · DOI · Paper page
  113. 10.1109/ECRTS.2016.27 · DOI
  114. 10.1109/MCOMSTD.2018.1700086 · DOI
  115. 10.1109/NCA.2009.28 · DOI
  116. 10.1109/5GWF.2019.8911720 · DOI
  117. 10.1109/INDIN45523.2021.9557468 · DOI
  118. 10.1109/WFCS46889.2021.9483447 · DOI
  119. 10.1109/TII.2022.3151786 · DOI
  120. Texas Instruments 2023. Time Sensitive Networking for Industrial Automation. Texas Instruments. White Paper.
  121. 10.1109/VTC2022-Fall57202.2022.10012852 · DOI
  122. 10.1109/VNC.2015.7385584 · DOI
  123. 10.1109/ETFA.2005.1612584 · DOI
  124. 10.1109/CAC48633.2019.8996645 · DOI
  125. 10.1109/MNET.2024.3355116 · DOI
  126. 10.1108/IJPCC-07-2021-0160 · DOI
  127. Marian Ulbricht, Stefan Senk, Hosein K. Nazari, How-Hang Liu, Martin Reisslein, Giang T. Nguyen, and Frank H. P. Fitzek. 2023. TSN-FlexTest: Flexible TSN measurement testbed. IEEE Transactions on Network and Service Management (2023).
  128. János Farkas Nigel Bragg Paul Unbehagen Glenn Parsons Peter J. Ashwood-Smith and Chris Bowers. 2016. IS-IS path control and reservation. RFC 7813. 10.17487/RFC7813 · DOI
  129. 10.1109/TII.2021.3106568 · DOI
  130. 10.1109/ICNP.1998.723721 · DOI
  131. 10.1109/TNSM.2023.3284590 · DOI
  132. 10.17487/RFC9023 · DOI
  133. 10.1109/ETFA46521.2020.9212057 · DOI
  134. Stefan Waldhauser, Benedikt Jaeger, and Max Helm. 2020. Time synchronization in time-sensitive networking. Network 51 (2020), 51–56.
  135. 10.1109/RTSS59052.2023.00040 · DOI
  136. 10.1109/RTAS52030.2021.00033 · DOI
  137. 10.1109/ICDCS54860.2022.00103 · DOI
  138. 10.1109/ICIT48603.2022.10002747 · DOI
  139. Yue Wang, Yu-Jing Wu, Yi-Hu Xu, and Yi-Nan Xu. 2023. Research of in-vehicle Ethernet information fault detection based on IEEE 802.1 Qci. International Journal of Future Computer and Communication 12, 1 (2023).
  140. Karl Weber. 2018. EtherCAT and TSN - Best Practices for Industrial Ethernet System Architectures. EtherCAT Technology Group. White Paper.
  141. 10.1109/RTSS.2013.22 · DOI
  142. 10.1109/WFCS60972.2024.10541017 · DOI
  143. 10.1109/MIE.2017.2649104 · DOI · Paper page
  144. Jordon Woods, Steve Zuponcic, and Rockwell Automation. 2017. QoS-application of TSN to EtherNet/IP networks. ODVA, Texas, USA (2017).
  145. 10.1145/3555050.3569138 · DOI
  146. 10.23919/JCC.ea.2021-0888.202302 · DOI
  147. Chuanyu Xue, Tianyu Zhang, and Song Han. 2024. Towards cost-effective real-time high-throughput end station design for time-sensitive networking (TSN). In 2024 61st ACM/IEEE Design Automation Conference (DAC’24). IEEE.
  148. Chuanyu Xue, Tianyu Zhang, Yuanbin Zhou, Mark Nixon, Andrew Loveless, and Song Han. 2023. Real-time scheduling for 802.1Qbv Time-Sensitive Networking (TSN): A systematic review and experimental study. arXiv preprint arXiv:2305.16772 (2023). · arXiv
  149. 10.1109/RTAS61025.2024.00017 · DOI
  150. 10.1109/IAEAC59436.2024.10503999 · DOI
  151. Zhilan Yu and Zhi Li. 2009. Best master clock algorithm of precision clock synchronization protocol. Electric Power Automation Equipment (2009).
  152. 10.1109/RTAS54340.2022.00028 · DOI
  153. 10.1109/ETFA.2019.8869053 · DOI
  154. 10.1109/IECON43393.2020.9254565 · DOI
  155. 10.3390/s22103901 · DOI
  156. 10.23919/DATE58400.2024.10546689 · DOI
  157. 10.1109/TMC.2018.2877681 · DOI
  158. 10.1109/TMC.2019.2950913 · DOI
  159. Tianyu Zhang, Tao Gong, Xiaobo Sharon Hu, Qingxu Deng, and Song Han. 2021. Dynamic resource management in real-time wireless networks. Wireless Networks and Industrial IoT: Applications, Challenges and Enablers (2021), 131–156. · DOI
  160. 10.1007/978-3-030-83944-4 · DOI
  161. 10.1109/DAC56929.2023.10247842 · DOI
  162. 10.1109/RTSS59052.2023.00039 · DOI
  163. Tianyu Zhang, Chuanyu Xue, Jiachen Wang, Zelin Yun, Natong Lin, and Song Han. 2024. A survey on industrial Internet of Things (IIoT) testbeds for connectivity research. arXiv preprint arXiv:2404.17485 (2024). · arXiv
  164. 10.1109/DASC.2018.8569454 · DOI
  165. 10.1109/TNSM.2022.3180160 · DOI
  166. 10.25046/aj040128 · DOI
  167. 10.23919/JCN.2021.000001 · DOI
  168. 10.1109/HPSR.2017.7968677 · DOI

Cited by

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Metadata

Authors
Zhang, T., Wang, G., Xue, C., Wang, J., Nixon, M., & Han, S.
Affiliations
  • University of Iowa (US)
  • Emerson (United States) (US)
  • University of Connecticut (US)
ORCID
Venue
ACM Computing Surveys
Publisher
Association for Computing Machinery (ACM)
Published
2024-10-10
Volume
57
Issue
2
Pages
1-38
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
DOI
10.1145/3695248
OpenAlex
W4402370051
Cited by
126
References
0
Citations by year
2026: 67 · 2025: 57 · 2024: 2
FWCI
20.98
Type
journal article
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
  • ACM Computing Surveys (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (CNS-1932480, CNS-2008463, CCF-2028875, CNS-1925706)
  • NASA STRI Resilient Extraterrestrial Habitats Institute (80NSSC19K1076)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Time Synchronization Technologies
  • Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
time-sensitive networking, industrial automation, IEEE 802.1, EtherNet/IP, EtherCAT, real-time communication, latency guarantees, interoperability, cyber-physical systems, Internet of Things

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CoChat. (2026). Citation check: Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions. https://app.cochat.ai/papers/10.1145/3695248
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Zhang, T., Wang, G., Xue, C., Wang, J., Nixon, M., & Han, S. (2025). Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions. ACM Computing Surveys. https://doi.org/10.1145/3695248