TSN-based industrial network performance analysis
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Accepted Version
Date
2022
Authors
Seliem, Mohamed
Zahran, Ahmed
Pesch, Dirk
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
Abstract
Industrial automation applications enforce strict requirements on the automation network, such as strict timing, upper bounded latency, low jitter, and essentially zero loss. Time sensitive networking (TSN) is an enabling technology for future automation networks. While most studies on TSN for industrial applications have focused on simple approaches to performance evaluation, we provide a comprehensive simulation based analysis for a typical industrial use case. We specify the network traffic produced by automation applications and associated TSN traffic classes. We model different network configurations such as priority queuing, time aware shaping, and credit based shaping to study how they meet the delay constraints of the different traffic classes. To evaluate the performance of our TSN based industrial network, we build and configured a network model and a set of application traffic models to generate realistic network traffic together with defined network design goals in OMNET++. Our simulation results show that a TSN based network meets all application requirements.
Description
Keywords
Time sensitive networking , Industrial Networks , IIoT , Resource management , OMNET++
Citation
Seliem, M., Zahran, A. and Pesch, D. (2022) 'TSN-based industrial network performance analysis', 2022 8th World Forum on Internet of Things (WF-IoT), Yokohama, Japan, 26 October - 11 November. doi: 10.1109/WF-IoT54382.2022.10152101