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Experimental Analysis of Wireless TSN Networks for Real-time Applications
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6621-2423
Mälardalen University.
Mälardalen University.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
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2023 (English)In: IEEE Int. Conf. Emerging Technol. Factory Autom., ETFA, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Abstract [en]

Wireless Time-Sensitive Networks (TSN) are needed to fulfill the requirements of real-time applications in areas where wired connections are not feasible. Wireless TSN combines the real-time capabilities of TSN with the flexibility of wireless connectivity opening a path for new use cases while providing determinism to time-critical scenarios such as autonomous vehicles. Industrial automation is integrating TSN with various wireless technologies such as WiFi, 4G, and 5G. This paper presents an ongoing work which aim is to experimentally analyze the performance of TSN when integrated with 4G, 5G, and WiFi in real-world scenarios. This will help both the researchers and industries to have a clear view of the network performance regarding the end-to-end latency requirements when designing their applications and use cases.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023.
Keywords [en]
TSN-4G, TSN-5G, TSN-WiFi, Wireless Time-Sensitive Networking, 5G mobile communication systems, Wireless local area networks (WLAN), Experimental analysis, Real time capability, Real-time application, Time-critical, Time-sensitive network-4g, Time-sensitive network-5g, Time-sensitive network-wifi, Wired connection, Wireless connectivities, Wi-Fi
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-64696DOI: 10.1109/ETFA54631.2023.10275665Scopus ID: 2-s2.0-85175447597ISBN: 9798350339918 (print)OAI: oai:DiVA.org:mdh-64696DiVA, id: diva2:1810949
Conference
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Available from: 2023-11-09 Created: 2023-11-09 Last updated: 2024-01-18Bibliographically approved

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Satka, ZenepeMubeen, SaadAshjaei, Seyed Mohammad Hossein

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Satka, ZenepeBarhia, DeepaSaud, SobiaMubeen, SaadAshjaei, Seyed Mohammad Hossein
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Electrical Engineering, Electronic Engineering, Information Engineering

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