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Traffic-Aware Configuration of OPC UA PubSub in Industrial Automation Networks
Mälardalen University, Faculty of Engineering and Health Sciences, Department of Computer Science & Engineering. ABB, Västerås, Sweden.ORCID iD: 0009-0002-2183-6563
ABB, Västerås, Sweden.ORCID iD: 0000-0002-5333-3699
ABB, Västerås, Sweden.
Mälardalen University, Faculty of Engineering and Health Sciences, Department of Computer Science & Engineering.ORCID iD: 0000-0003-3242-6113
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2026 (English)In: IEEE International Conference on Industrial Technology (ICIT 2026) / [ed] IEEE, Institute of Electrical and Electronics Engineers (IEEE) , 2026Conference paper, Published paper (Refereed)
Abstract [en]

Interoperability across industrial automation systems is a cornerstone of Industry 4.0. To address this need, the OPC Unified Architecture (OPC UA) Publish-Subscribe (PubSub) model offers a promising mechanism for enabling efficient communication among heterogeneous devices. PubSub facilitates resource sharing and communication configuration between devices, but it lacks clear guidelines for mapping diverse industrial traffic types to appropriate PubSub configurations. This gap can lead to misconfigurations that degrade network performance and compromise real-time requirements. This paper proposes a set of guidelines for mapping industrial traffic types, based on their timing and quality-of-service specifications, to OPC UA PubSub configurations. The goal is to ensure predictable communication and support real-time performance in industrial networks. The proposed guidelines are evaluated through an industrial use case that demonstrates the impact of incorrect configuration on latency and throughput. The results underline the importance of traffic-aware PubSub configuration for achieving interoperability in Industry 4.0 systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2026.
Series
IEEE International Conference on Industrial Technology (ICIT), ISSN 2641-0184, E-ISSN 2643-2978
Keywords [en]
OPC UA, TSN, PubSub Configuration
National Category
Computer and Information Sciences Networked, Parallel and Distributed Computing
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-76234DOI: 10.1109/ICIT64854.2026.11491572Scopus ID: 2-s2.0-105038469408ISBN: 979-8-3315-9875-4 (electronic)ISBN: 979-8-3315-9876-1 (print)OAI: oai:DiVA.org:mdh-76234DiVA, id: diva2:2045700
Conference
IEEE International Conference on Industrial Technology (ICIT 2026), 4-6 March, 2026, Monterrey, Mexico
Projects
SEINEAvailable from: 2026-03-13 Created: 2026-03-13 Last updated: 2026-06-11Bibliographically approved

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Ekrad, KasradJohansson, BjarneAlvarez Vadillo, InesMubeen, SaadAshjaei, Seyed Mohammad Hossein

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Ekrad, KasradJohansson, BjarneAlvarez Vadillo, InesMubeen, SaadAshjaei, Seyed Mohammad Hossein
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Computer and Information SciencesNetworked, Parallel and Distributed Computing

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