Eintrag in der Universitätsbibliographie der TU Chemnitz
Volltext zugänglich unter
URN: urn:nbn:de:bsz:ch1-qucosa2-1008041
Bhattacharjee, Sushmit
Bauschert, Thomas (Prof. Dr.-Ing.) ; Kiess, Wolfgang (Prof. Dr.) (Gutachter)
Network Control and Management for TSN-based Future Industrial Automation
Kurzfassung in englisch
This doctoral dissertation delves into the intricate domain of Time-Sensitive Networking (TSN) integration within the context of large-scale industrial networks, a crucial facet in the era of Industry 4.0. The overarching motivation for this research stems from the pressing need to address the evolving challenges in modern industrial communication, coupled with the ambition to seamlessly orchestrate the coexistence of wired TSN and wireless 5G technologies. In navigating this complex landscape, the work endeavors to unravel the multifaceted challenges and innovative solutions that not only characterize TSN integration but also set the stage for reshaping the future of industrial communication networks. The systematic progression elucidated in this dissertation is grounded in the foundational motivation to establish efficient, deterministic, and scalable industrial networks. As Industry 4.0 continues its trajectory, the demands for robust communication infrastructures capable of meeting stringent requirements become increasingly evident. The advent of wireless 5G technologies further accentuates the need for a harmonized approach to integrate wired and wireless technologies seamlessly. This holistic integration is crucial to creating a connected industrial ecosystem capable of meeting stringent requirements for reliability, low-latency communication, and adaptability. This work, therefore, is motivated by the imperative to contribute to the realization of a connected industrial ecosystem and to unlock the full potential of TSN, positioning it as a cornerstone technology in the Industry 4.0 landscape. Succinctly summarized, this thesis achieves three goals: Efficient management of large-scale TSN-based networks: Addressing the challenge of orchestrating large-scale TSN-based industrial networks, a novel hierarchical Software Defined Networking (SDN)-based architecture is proposed. This architecture, with its core element, the “TSN Multi-Domain Orchestrator” not only streamlines multi-domain TSN orchestration but also lays the foundation for scalable and secure solutions. The use of CORECONF as a lightweight alternative to traditional network management protocols enhances the efficiency of network management. Real-world scenarios validate the feasibility and performance advantages of the proposed framework, impacting the theoretical understanding and practical implementation of TSN in diverse industrial scenarios. Placement of virtual controllers (vPLCs) in TSN: In response to the proliferation of devices on the shop floor, the work proposes a paradigm shift towards the softwarization and virtualization of Programmable Logic Controllers (PLCs). The instantiation of virtual PLCs (vPLCs) at the network edge emerges as a transformative solution, motivated by the need to reduce compute overload and maintenance time associated with conventional embedded controllers. Algorithms for optimal placement, scheduling, and routing of time-sensitive streams underscore the efficiency gains of this approach. The comparative evaluation of Mixed Integer Linear Programming (MILP) and Simulated Annealing (SA)-based meta-heuristics attests to the versatility and efficacy of the proposed strategies, providing a paradigm for addressing challenges posed by the proliferation of devices in the Industry 4.0 landscape. Harmonizing wired TSN and wireless 5G Technologies: Expanding the horizon to encompass the integration of wired TSN and wireless 5G technologies, this dissertation also explores the feasibility and advantages of deploying 5G over TSN-based networks, particularly in the fronthaul segment. Rigorous evaluations of TSN standards, including IEEE 802.1Qbv (scheduled traffic) and IEEE 802.1Qbu (frame preemption), are conducted to ascertain their capability to meet the demanding Quality of Service (QoS) requirements of the fronthaul segment. Furthermore, building on this foundation, an integrated network control and management architecture is proposed to facilitate network slicing over TSN-based transport networks. The architecture introduces interfaces and entities to bridge the TSN control plane with the 3GPP mobile network, showcasing a harmonized approach to managing heterogeneous traffic requirements. The synthesized findings contribute not only to the theoretical understanding of TSN integration but also provide practical insights for implementation. The conceptualization of innovative architectures and the development of optimization algorithms resonate across multiple dimensions, impacting the landscape of modern industrial networking. The seamless interweaving of TSN into the fabric of Industry 4.0, accompanied by the harmonization with 5G technologies, presents a transformative trajectory in modern industrial networking. The work accomplished in this dissertation and the findings could serve as a catalyst for future investigations in the ongoing discourse on TSN. The majority of ideas and concepts proposed in this thesis were evaluated under the assumption of industrial network Key Performance Indicators (KPIs), i.e., they assume the respective typical topologies and parameter configurations. Nevertheless, the advantages of introduced designs apply to other domains, e.g., the data-center and campus networks.
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Kommunikationsnetze | |
| Fakultät: | Fakultät für Elektrotechnik und Informationstechnik | |
| Dokumentart: | Dissertation | |
| Betreuer: | Bauschert, Thomas (Prof. Dr.-Ing.) | |
| DOI: | doi:10.60687/2025-0228 | |
| SWD-Schlagwörter: | TSN-Netz , Routing , Netzwerk | |
| Freie Schlagwörter (Englisch): | Time-Sensitive Networking , IEEE TSN , Industry 4.0 , Deterministic Networks , Industrial Networks , 5G , Network Slicing , Control and Management , SDN , Orchestration , Scheduling , Placement , Routing | |
| DDC-Sachgruppe: | 621.3 | |
| Sprache: | englisch | |
| Tag der mündlichen Prüfung | 01.12.2025 | |
| OA-Lizenz | CC BY 4.0 |
