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A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes 2025 (English)In: 30th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Institute of Electrical and Electronics Engineers (IEEE) , 2025Conference paper, Published paper (Refereed)

Abstract [en]

This paper identifies that existing industrial automation standards, such as IEC/IEEE 60802 and IEEE 802.1Q, often have inconsistent definitions of traffic types. In the context of utilizing time-sensitive networking (TSN) standards for future automation systems, clear and consistent traffic characteristics and use cases should be defined to benefit from TSN features. Besides that, to facilitate the integration of TSN into the automation systems, the current standards provide a recommendation for mapping the automation traffic to the TSN traffic classes. In this paper, we propose an alternative mapping methodology for automation traffic to TSN traffic classes after presenting the existing automation traffic and their characteristics. Finally, through a case study, we show the potential of the new mapping methodology compared to the standard mapping strategy.

Place, publisher, year, edition, pages

Institute of Electrical and Electronics Engineers (IEEE) , 2025.

Series

IEEE Conference on Emerging Technologies and Factory Automation, ISSN 1946-0759

Keywords [en]

Automation;Industrial communication;Standards;Manufacturing automation;Traffic Mapping;Time-Sensitive Networking (TSN);Industrial Communication;Industrial automation

National Category

Computer and Information Sciences Computer Engineering Computer Sciences Networked, Parallel and Distributed Computing

Research subject

Computer Science

Identifiers

URN: urn:nbn:se:mdh:diva-73834DOI: 10.1109/ETFA65518.2025.11205571ISI: 001826397800045Scopus ID: 2-s2.0-105021799407ISBN: 979-8-3315-5383-8 (electronic)OAI: oai:DiVA.org:mdh-73834DiVA, id: diva2:2009161

Conference

30th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Funder

Knowledge FoundationVinnova

Note

© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

This is the author’s accepted version of the article:K. Ekrad, I. A. Vadillo, B. Johansson, S. Mubeen and M. Ashjae, “A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes,,” in Proc. 2025 IEEE 30th Int. Conf. on Emerging Technologies and Factory Automation (ETFA), 2025. DOI: 10.1109/ETFA65518.2025.11205571 

Available from: 2025-10-27 Created: 2025-10-27 Last updated: 2026-09-02Bibliographically approved

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Other links

Publisher's full textScopushttps://ieeexplore.ieee.org/document/11205571

Authority records

Ekrad, KasradAlvarez Vadillo, InesJohansson, BjarneMubeen, SaadAshjaei, Seyed Mohammad Hossein

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Ekrad, KasradAlvarez Vadillo, InesJohansson, BjarneMubeen, SaadAshjaei, Seyed Mohammad Hossein

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Computer and Information SciencesComputer EngineeringComputer SciencesNetworked, Parallel and Distributed Computing

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