SS08 - Exploring the limits of Time Sensitive Networking (TSN)

Special Session Organized by

Elena Ferrari, University of Padova, Italy, and Alberto Morato, National Research Council of Italy (CNR‐IEIIT), Italy, and Julian Proenza, Universitat de les Illes Balears, Spain, and Corrado Puligheddu, Politecnico di Torino, Italy,

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This special session aims to explore the advancements and challenges in deterministic networks, focusing on Time-Sensitive Networking (TSN). TSN identifies standards, algorithms, and protocols aiming to enhance the capabilities of communication networks for time-critical real-time dependable applications through accurate time synchronization, hard, non-negotiable time boundaries for transmission latency, and fault tolerance mechanisms. TSN standards have triggered a significant amount of research that explores the limits of the technology and proposes techniques to go beyond them in four basic domains; real-time response of mixed traffic, fault tolerance, network configuration, and the practical use of this technology in many application areas. For instance, recent developments in this field have brought TSN to wireless networks such as 3GPP 5G New Radio and IEEE 802.11 Wi-Fi. The application of TSN in hybrid networks is a captivating subject of study, as it would enable time-sensitive applications such as extended reality (XR), time-critical sensor networks, and real-time remote control in industrial, robotics, avionics, aerospace, and automotive devices. The session is open to all research aimed at exploring and going beyond the limits of this technology thereby showing its potential.

Topics under this session include (but not limited to)

  • Scheduling algorithms
  • Fault-tolerance mechanisms for highly-dependable TSN networks
  • Configuration of complex TSN networks
  • Novel algorithms and protocols for wireless TSN
  • Integration of TSN on Wi-Fi and 5G New Radio
  • Innovative solutions for redundancy and dynamic routing
  • Optimal network topology design
  • Methodologies for metrological characterization of TSN networks
  • Formal methods (FM) for the design of efficient, reliable, and optimized hybrid TSN networks
  • Development of simulation models
  • Adoption of TSN in robotics applications
  • Adoption of TSN in industrial applications
  • Adoption of TSN in Smart/Micro Grids