Response-Time Modeling of Controller Area Network (CAN)

Authors:
Manoj Kumar;Ajit Kumar Verma;A. Srividya
Affiliations:
Control Instrumentation Division BARC, Trombay, Mumbai, 400085;Reliability Engineering, IIT Bombay, Powai, Mumbai, 400076;Reliability Engineering, IIT Bombay, Powai, Mumbai, 400076
Venue:
ICDCN '09 Proceedings of the 10th International Conference on Distributed Computing and Networking
Year:
2009

Citing 6
Cited 0

Message delay analysis for CAN based networks

SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Worst-case deadline failure probability in real-time applications distributed over controller area network

Journal of Systems Architecture: the EUROMICRO Journal
Probability and Statistics with Reliability, Queuing and Computer Science Applications

Probability and Statistics with Reliability, Queuing and Computer Science Applications
Response Time Analysis under Errors for CAN

RTAS '00 Proceedings of the Sixth IEEE Real Time Technology and Applications Symposium (RTAS 2000)
Minimizing CAN Response-Time Jitter by Message Manipulation

RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
Probabilistic Worst-Case Response-Time Analysis for the Controller Area Network

RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

A probabilistic approach to determine response-time distribution for messages in Controller Area Network (CAN) is presented here. CAN is a field bus level communication network for exchanging short real-time messages. CAN is mostly used to carry periodic messages for control and automation systems. Traditional response-time analysis of CAN messages only gives worst-case response-times. This introduces pessimism in analysis, resulting in over designing and under utilization of resources. Response-time distribution is a probabilistic function. Response-time distribution provides a complete characterization of CAN message response-time. It can provide probability of meeting/missing any specified response-time limit. This probability is useful for system reliability and performance modeling. In this paper response-time model of CAN messages is discussed. Technique to derive probabilistic parameters of response-time model, for periodic CAN messages with deterministic transmission times is given. The method has been applied to a standard data set, results are compared with that of worst-case analysis and reasons for deviations are discussed.