INTERCONNECT: Integrated Time Sensitive Networking and Legacy Communications in Predictable Vehicle-platforms

Status:

active

Start date:

2021-06-30

End date:

2026-06-29

The functionality advancements, innovation and novel features in modern vehicles require numerous high data-rate sensors (e.g. lidars). These sensors generate hundreds of megabytes of data per second that needs to be communicated among onboard computers with predictable low latencies. The emerging IEEE Time-Sensitive Networking (TSN) standards provide a promising solution to address these requirements. TSN provides a high-speed and low-latency backbone onboard network that can connect to legacy communication devices and subsystems. This project embraces the novel possibility of seamlessly integrating TSN and low-cost legacy onboard communications to create an attractive solution for next-generation vehicles. Alas, the state-of-the-art lacks a holistic model-based software development and timing verification framework for these integrated onboard communications. The vehicle industry also lacks a model-based software development tool-chain to utilize these integrated onboard communications. The aim of INTERCONNECT is to develop novel techniques, frameworks, industrial tool prototypes and demonstrators for holistic model-based development of vehicular software functions on predictable platforms that use seamlessly integrated TSN and legacy onboard communications. The benefits for the vehicle industry include cost-efficient system development, better quality of developed functions to lower costs, better management and use of expensive and scarce computing and communication resources. A major trait of the project consortium is that it offers a clear value chain initiating from academia (MDH); through a tools developer (Arcticus Systems); and finally, to an end user of the technology (HIAB).

[Show all publications]

Scheduling and Response-time Analysis of Multicore and Multi-GPU Heterogeneous Systems with Server-Based Approach (Aug 2026)
Sahar Mobaiyen, Saad Mubeen, Mikael Sjödin, Nandinbaatar Tsog, Matthias Becker
Journal of Control Science and Engineering (JCSE)

Efficient AVB-aware Scheduling for Critical Traffic in Time-sensitive Networks (May 2026)
Daniel Bujosa Mateu, Silviu Craciunas , Saad Mubeen
32nd IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS2026)

Architecting Automotive Software for the Emerging Compute-in-the-Network Paradigm (Apr 2026)
Saad Mubeen, Mohammad Ashjaei, John Lundbäck
48th IEEE/ACM International Conference on Software Engineering (ICSE 2026)

Bridging TSN and 5G networks: Prototype design and evaluation for real-time embedded systems (Nov 2025)
Zenepe Satka, Mohammad Ashjaei, Josefina Nord , William Rosales Mayta , Didrik Nordin , Daniel Ragnarsson , Saad Mubeen
Journal of Systems Architecture, 2025 (JSA)

Rubus Offline Scheduler for Resource Constrained Embedded Real-Time Systems (Sep 2025)
Jukka Mäki-Turja, Vildan Zivojevic , Saad Mubeen
21st IEEE International Conference on Embedded Software and Systems (ICESS-2025)

Experimental Evaluation of a CAN-to-TSN Gateway Implementation (May 2025)
Aldin Berisa, Saad Mubeen, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Benjamin Kraljusic , Nejla Zahirovic
28th International Symposium On Real-Time Distributed Computing (ISORC2025)

PartnerType
Arcticus Systems AB Industrial
HIAB AB Industrial

Saad Mubeen, Professor

Email: saad.mubeen@mdu.se
Room: U1-142
Phone: +4621103191