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SDN-based Self-Configuration for Time-Sensitive IoT Networks
Open accessAbstract
The convergence of Information Technology (IT) and Industrial Operations Technology (OT) results in efficient network management solutions for automotive and industrial automation environments. However, configuring real-time Ethernet networks while maintaining the desired QoS is challenging due to the dynamic nature of OT networks and the high number of configuration parameters. This paper introduces a Software-Defined Network (SDN)-based self-configuration framework for the time-sensitive networks (TSNs). Unlike standard TSN, we remove end-host-related dependencies and put streams initially on default paths to extract traffic characteristics by monitoring network traffic at edge switches. Communicated to a central SDN controller, these characteristics allow moving streams to optimal paths while maintaining hard real-time guarantees, for which we also formulate an optimization problem. According to the results, although the proposed approach increases the average delay of critical frames by less than 1%, a certain level of real-time guarantee can be provided without prior knowledge of the streams.
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“In dynamic OT environments, software-defined segmentation is increasingly deployed [19].”
From Encryption for Industrial Control Systems: A Survey of Application-Level and Network-Level Approaches in Smart Grids (2026) · cites this paper as [19]
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Metadata
- Authors
- Bulbul, N. S., Ergenc, D., & Fischer, M.
- Affiliations
- University of Hamburg,Department of Computer Science,Germany
- Universität Hamburg (DE)
- ORCID
- Fischer, Mathias
- Venue
- 2021 IEEE 46th Conference on Local Computer Networks (LCN)
- Publisher
- IEEE
- Published
- 2021-10-04
- Pages
- 73-80
- ISSN
- 0742-1303 (ISSN-L)
- OpenAlex
- W3134591279
- Cited by
- 32
- References
- 20
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 10 · 2022: 7 · 2021: 1
- FWCI
- 5.31
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Conference on Local Computer Networks (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Time Synchronization Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Optical Network Technologies
- Keywords
- software-defined networking, time-sensitive networking, self-configuration, IoT networks, real-time Ethernet, quality of service, industrial automation, IT-OT convergence, traffic monitoring, edge switches, path optimization, real-time guarantees
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