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]

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)

HERMES: Heuristic Multi-queue Scheduler for TSN Time-Triggered Traffic with Zero Reception Jitter Capabilities (Jun 2022)
Daniel Bujosa Mateu, Mohammad Ashjaei, Alessandro Papadopoulos, Thomas Nolte, Julián Proenza
The 30th International Conference on Real-Time Networks and Systems (RTNS'22)

PartnerType
Arcticus Systems AB Industrial
HIAB AB Industrial

Saad Mubeen, Professor

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