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

Status:

active

Start date:

2021-06-30

End date:

2025-06-29

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]

Timing Predictability and Performance Standoff in Component-based Vehicle Software on Multi-core (Mar 2023)
Saad Mubeen
IEEE International Conference on Software Architecture Companion Proceedings (MDE4SA@ICSA 2023)

Communication Patterns for Evaluating Vehicular E/E Architectures (Nov 2022)
Elena Lisova, Ruben Broux, Joachim Denil , Alessio Bucaioni, Saad Mubeen
The 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022)

Schedulability Analysis of WSAN Applications: Outperformance of a Model Checking Approach (Sep 2022)
Ehsan Khamespanah , Morteza Mohaqeqi , Mohammad Ashjaei, Marjan Sirjani
International Conference on Emerging Technologies and Factory (ETFA'2022)

Concurrent OPC UA information model access, enabling real-time OPC UA PubSub (Sep 2022)
Patrick Denzler, Mohammad Ashjaei, Thomas Frühwirth , Victor Nicholas Ebirim , Wolfgang Kastner
International Conference on Emerging Technologies and Factory (ETFA'2022)

Cognitive and Time Predictable Task Scheduling in Edge-cloud Federation (Sep 2022)
Somayeh Abdi, Mohammad Ashjaei, Saad Mubeen
International Conference on Emerging Technologies and Factory (ETFA'2022)

A Centralized Configuration Model for TSN-5G Networks (Sep 2022)
Zenepe Satka, Ines Alvarez, Mohammad Ashjaei, Saad Mubeen
International Conference on Emerging Technologies and Factory (ETFA'2022)

PartnerType
Arcticus Systems AB Industrial
HIAB AB Industrial

Saad Mubeen, Professor

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