Online Controller Area Network message scheduling: analysis, implementation and applications Online publication date: Thu, 30-Sep-2010
by Mu-Song Chen, Hao-Wei Yen
International Journal of Systems, Control and Communications (IJSCC), Vol. 2, No. 4, 2010
Abstract: Message scheduling is a critical research issue in the Controller Area Network (CAN). Messages that fail to meet predefined deadlines may deteriorate system performance significantly. In this paper, we propose an online Message-Scheduling Controller (MSC), which is realised by the Radial Basis Function (RBF) network. The MSC exploits two novel learning algorithms to adaptively tune its internal parameters. The learning algorithms provide complementary effects to prevent possible causes of non-uniform bandwidth allocation among requesting messages and to reduce possibilities of Transmission Failures (TFs). Simulation results show that the proposed algorithm outperforms the existing scheduling methods.
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