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Schedulability-Driven Topology Optimization for EtherCAT-TSN Networks in Industrial Automation
Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China.
Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China.
Beijing Jiaotong University, School of Computer Science & Technology, Beijing, China.
Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China.
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2025 (English)In: 2025 IEEE 23rd International Conference on Industrial Informatics, INDIN 2025, Institute of Electrical and Electronics Engineers (IEEE) , 2025Conference paper, Published paper (Refereed)
Abstract [en]

The integration of EtherCAT and TSN has been proposed to enhance performance of EtherCAT networks in industrial automation. EtherCAT over TSN transforms a traditional EtherCAT ring into multiple shorter rings interconnected via TSN switches, enabling concurrent data transmission across segments and reducing cycle time. However, the use of multiple segments introduces contention for the master in the return path, potentially leading to scheduling failures and an increase in cycle time. We study the impact of network topology, i.e., the number of segments and slave node distribution, on schedulability, and formulate the topology optimization problem for the converged network based on schedulability analysis. We evaluate our methodology and optimal solution using SMT and Integer Programming (LIP) solvers, respectively. Numerical results demonstrate the effectiveness of our method, and our solution outperforms baselines.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025.
Keywords [en]
EtherCAT over TSN, Industry 4.0, schedulability analysis, topology optimization
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-378992DOI: 10.1109/INDIN64977.2025.11279518Scopus ID: 2-s2.0-105032701397OAI: oai:DiVA.org:kth-378992DiVA, id: diva2:2052868
Conference
23rd International Conference on Industrial Informatics, INDIN 2025, KunMing, China, July 12-15, 2025
Note

Part of ISBN 9798331511210

QC 20260414

Available from: 2026-04-14 Created: 2026-04-14 Last updated: 2026-04-14Bibliographically approved

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Pang, Zhibo

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf