Reference : Error detection and management in CAN XR
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/37369
Error detection and management in CAN XR
English
Cena, Gianluca [National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering]
Cibrario Bertolotti, Ivan [National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering]
Hu, Tingting mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Valenzano, Adriano [National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering]
2018
2018 14th IEEE International Workshop on Factory Communication Systems (WFCS)
1-9
Yes
International
14th IEEE International Workshop on Factory Communication Systems (WFCS’2018)
from 13-06-2018 to 15-06-2018
Imperia
Italy
[en] Nowadays, Controller Area Network is still the most popular solution for in-vehicle communications in automotive scenarios. Recently, the CAN with eXtensible in-frame Replyproposal has been introduced, which permits several nodes to write at the same time on the bus in the data field of legacy CAN frames. This enables several new interesting communication services, including distributed key generation and highly-efficient data exchanges according to the combined message approach.
Unfortunately, having several concurrent devices acting as transmitters for the same message impairs the ability of the protocol to detect global errors, hence worsening its robustness against electromagnetic disturbance. In this paper, this problem is analyzed in detail and some solutions are proposed, which make CAN XR as robust as the standard CAN protocol.
This work was partially supported by Regione Piemonte and the Ministry of Education, University, and Research of Italy in the POR FESR 2014/2020 framework
Researchers ; Professionals
http://hdl.handle.net/10993/37369
10.1109/WFCS.2018.8402348

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