Recent advancement in the functionality and new customer features in modern vehicles, especially autonomous vehicles, requires massive computational power and high-bandwidth on-board real-time communication. While there is a lot of research done to meet the challenge of computational requirements, relatively small efforts have been spent to deal with the challenge of supporting the high-bandwidth onboard communication requirements. In a recent effort to support high-bandwidth low-latency onboard real-time communication in modern vehicles, the IEEE Time-Sensitive Networking (TSN) task group has developed a set of standards targeting different classes of real-time traffic, support for time-triggered traffic at the same time as non-real-time traffic, support for resource reservation for different classes of traffic, support for clock synchronization, and providing several traffic shapers. However, a complete development support including modelling, timing analysis, configuration, deployment and execution for vehicular applications that use TSN is still missing from the state of the art. Since TSN is a complex technology with many options and configuration possibilities; taking full advantage of TSN in execution of complex vehicular functions is daunting task. This project aims at developing innovative techniques to provide a full-fledged development environment for vehicular applications that use TSN as the backbone for on-board communication. One unique characteristic of the project consortium is that it offers a clear value chain from academia (MDH), through the tool developer/vendor (Arcticus), and to the end user of the technology (Volvo), who will use the techniques and tools to develop prototype vehicles.
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Time-Sensitive Networking in Automotive Embedded Systems: State of the Art and Research Opportunities (Sep 2021) Mohammad Ashjaei, Lucia Lo Bello , Masoud Daneshtalab, Gaetano Patti , Sergio Saponara , Saad Mubeen Journal of Systems Architecture, 2021 (JSA, 110)
Guest Editorial: Special Issue on Parallel, Distributed, and Network-Based Processing in Next-generation Embedded Systems (Aug 2021) Saad Mubeen, Lucia Lo Bello , Masoud Daneshtalab, Sergio Saponara Journal of Systems Architecture, 2021 (JSA, 110)
A Novel Frame Preemption Model in TSN Networks (Jun 2021) Mohammad Ashjaei, Mikael Sjödin, Saad Mubeen Journal of Systems Architecture (JSA)
Synthesising Schedules to Improve QoS of Best-effort Traffic in TSN Networks (Apr 2021) Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen 29th International Conference on Real-Time Networks and Systems (RTNS'21) (RTNS 2021)
An Automated Configuration Framework for TSN Networks (Mar 2021) Bahar Houtan, Albert Bergström , Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen 22nd IEEE International Conference on Industrial Technology (ICIT'21) (ICIT 2021)
Optimizing Inter-Core Data-Propagation Delays in Industrial Embedded Systems under Partitioned Scheduling (Jan 2021) Lamija Hasanagic, Tin Vidovic, Saad Mubeen, Mohammad Ashjaei, Matthias Becker 26th Asia and South Pacific Design Automation Conference (ASP-DAC'21)