The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
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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Cites
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On Periodicity Detection and Structural Periodic Similarity
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Incremental Flow Scheduling and Routing in Time-Sensitive Software-Defined Networks
Nayak, N., Dürr, F., & Rothermel, K. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2782235 · Cited by 233
Nasrallah, A., Thyagaturu, A. S., Alharbi, Z., Wang, C., Shao, X., Martin Reisslein, B., & Elbakoury, H. (2019) · IEEE Access · doi:10.1109/access.2019.2908613 · Cited by 154
End-to-End Network Delay Guarantees for Real-Time Systems Using SDN
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Self-configuration of IEEE 802.1 TSN networks
Gutierrez, M., Ademaj, A., Steiner, W., Dobrin, R., & Punnekkat, S. (2017) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa.2017.8247597 · Cited by 83
Schriegel, S., Kobzan, T., & Jasperneite, J. (2018) · IEEE International Workshop on Factory Communication Systems (WFCS) · doi:10.1109/wfcs.2018.8402356 · Cited by 56
Achieving end-to-end real-time Quality of Service with Software Defined Networking
Guck, J. W., & Kellerer, W. (2014) · IEEE International Conference on Cloud Networking · doi:10.1109/cloudnet.2014.6968971 · Cited by 49
A Fully Automated Periodicity Detection in Time Series
Puech, T., Boussard, M., D’Amato, A. A., & Millerand, G. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-39098-3_4 · Cited by 40
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- schriegel, 2018, Investigation on a distributed SDN control plane architecture for heterogeneous TSNs, WFCS
- 2018, IEEE standard for local and metropolitan area networks–bridges and bridged networks - amendment 31: Stream reservation protocol enhancements and performance improvements
- guck, 2014, Achieving end-to-end real-time QoS with software defined networking, CloudNet
- 2016, IEEE Standard for Local and Metropolitan Area Networks–Bridges and Bridged Networks - Amendment 25: Enhancements for Scheduled Traffic, 1
Cited by
SDN Security Review: Threat Taxonomy, Implications, and Open Challenges
Rahouti, M., Xiong, K., Xin, Y., Jagatheesaperumal, S. K., Ayyash, M., & Shaheed, M. (2022) · IEEE Access · doi:10.1109/access.2022.3168972 · Cited by 110
Fedullo, T., Morato, A., Tramarin, F., Rovati, L. L., & Vitturi, S. (2022) · Sensors · doi:10.3390/s22041638 · Cited by 80
Sasiain, J., Franco, D., Atutxa, A., Astorga, J., & Jacob, E. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3422613 · Cited by 94
A Survey on In-Vehicle Time-Sensitive Networking
Peng, Y., Shi, B., Jiang, T., Tu, X., Xu, D., & Hua, K. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3264909 · Cited by 63
Software-Defined Time Sensitive Networks Configuration and Management
Chahed, H., & Kassler, A. (2021) · IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) · doi:10.1109/nfv-sdn53031.2021.9665120 · Cited by 32
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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- Bulbul, N. S., Ergenc, D., & Fischer, M. (2021). SDN-based Self-Configuration for Time-Sensitive IoT Networks. 2021 IEEE 46th Conference on Local Computer Networks (LCN). https://doi.org/10.1109/lcn52139.2021.9524979
