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Bridging the Gap: An Interface Architecture for Integrating CAN and TSN Networks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
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2024 (English)Report (Other academic)
Place, publisher, year, edition, pages
2024.
Series
MRTC Report, Mälardalen Real-Time Research Centre ; 351
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-68558ISRN: MDH-MRTC-351/2024-1-SEOAI: oai:DiVA.org:mdh-68558DiVA, id: diva2:1902747
Available from: 2024-10-02 Created: 2024-10-02 Last updated: 2024-10-02Bibliographically approved
In thesis
1. Integration and timing analysis of TSN and CAN networks
Open this publication in new window or tab >>Integration and timing analysis of TSN and CAN networks
2024 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Modern embedded systems, particularly in the automotive domain, have seen significant advancements in functionality and complexity. This has driven demand for high data-rate sensors such as cameras, radars, and lidars, which generate vast amounts of data that require transmission with low, predictable latencies. However, traditional onboard communication protocols in the automotive domain, such as Controller Area Network (CAN), have limited support for these requirements. The IEEE Time-Sensitive Networking (TSN) standards have emerged as a solution, providing high-speed, low-latency communication that can be used as a backbone network connecting nodes and networks in the system. The challenge lies in fully utilizing TSN while maintaining compatibility with low-cost legacy CAN systems. This thesis aims to address the challenges of integrating CAN and TSN networks. We investigate various design techniques for the gateway that connects a CAN domain to a TSN domain, ultimately proposing the interface architecture for a CAN-TSN gateway. During our investigation, we identified the lack of timing analysis for the next generations of CAN, namely CAN Flexible Data-rate (FD) and CAN Extra Long (XL), and developed timing analysis for them. We further develop the analysis for the CAN-TSN gateway. As part of the thesis and working towards a scheduling method for TSN traffic sent by a CAN-TSN gateway, we extend a heuristic algorithm to schedule TSN traffic, increasing the schedulability of lower-priority traffic,  particularly in scenarios involving the use or non-use of frame preemption in TSN. Finally, we demonstrate the proof of concept by implementing the timing analysis in an industrial tool suite and through an industrial use case utilizing the gateway. This demonstrates the feasibility and potential benefits of integrating CAN and TSN networks.

Place, publisher, year, edition, pages
Västerås: Mälardalens universitet, 2024
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 366
Keywords
Controller Area Network, Time-sensitive Network, Gateway
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-68565 (URN)978-91-7485-682-8 (ISBN)
Presentation
2024-11-14, room Pi and via Zoom., Mälardalens universitet, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2024-10-02 Created: 2024-10-02 Last updated: 2024-10-24Bibliographically approved

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Berisa, AldinMubeen, SaadDaneshtalab, MasoudAshjaei, Seyed Mohammad HosseinSjödin, Mikael

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