Abstract
This paper proposes an error model following a generalized Poisson process enabling to consider both single and "bursty" transmission errors. The problem of assessing the worst-case deadline failure probability (WCDFP) in CAN will be addressed. Worst-case means that the message transmission takes the maximum possible time and each error introduces a retransmission with the maximum overhead. The motivation of this work is that, in practice, the number of errors occurring during a given time period can not always be bounded, especially in the considered applications (CAN used as an in-vehicle network). A method for efficiently computing, for each message, the WCDFP is presented. This method is general in the sense that it enables to consider all possible burst-size distributions. This analysis will be applied to an industrial case-study to estimate its reliability.
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