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A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes

Authors:

Kasra Ekrad, Inés Álvarez , Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei

Research groups:

Real-Time Systems Design
Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

30th IEEE International Conference on Emerging Technologies and Factory Automation

Abstract

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.

Bibtex

@inproceedings{Ekrad7204,
author = {Kasra Ekrad and In{\'e}s {\'A}lvarez and Bjarne Johansson and Saad Mubeen and Mohammad Ashjaei},
title = {A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes},
month = {September},
year = {2025},
booktitle = {30th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/7204-}
}