The wide range of possible network configurations and topologies and the ranges of variation of the parameters of its components represent an enormous challenge for the execution and implementation of a robust FlexRay physical layer. On this subject, simulations of Monte Carlo type, or others if they are more suitable, is seen as indispensable tools for success in building robust network architectures. One last comment about these simulations: sometimes what are called ‘corner cases’ occur in the implementation of networks, and in particular with FlexRay. These are what some people call ‘worst cases’. Resolving or trying to resolve them is aiming for perfection, but it is often expensive, and often the ‘quality/cost’ ratio stops with the evaluations of the ‘risk incurred/cost’ ratio. It is important, and strongly recommended to future users, to proceed with long modellings and simulations of their parameters and their topologies before implementing their networks for real. Monte Carlo methods
Summary on the Physical Layer of FlexRay
Flexray and its Applications ; 193-194
2012-03-16
2 pages
Article/Chapter (Book)
Electronic Resource
English
Physical layer extraction of FlexRay configuration parameters
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