Traffic prediction of can network system with dual communication channels

The increasing number of electronic control units, sensors, and actuators in intelligent vehicles, and the increasing need for more intelligent functions require a network with increased capacity and real-time capability. As an example of enhancing the capacity of a controller area network (CAN) sys...

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Bibliographic Details
Main Authors: Man Ho Kim, Kyoung Nam Ha, Kyung Chang Lee, Suk Lee
Format: Conference Proceeding
Language:English
Subjects:
Capacitive sensors
Communication channels
Communication system control
Communication system traffic control
controller area network (CAN)
double exponential smoothing method
in-vehicle network system
Intelligent actuators
Intelligent networks
Intelligent sensors
Intelligent vehicles
Prediction methods
Telecommunication traffic
traffic prediction method
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Summary:The increasing number of electronic control units, sensors, and actuators in intelligent vehicles, and the increasing need for more intelligent functions require a network with increased capacity and real-time capability. As an example of enhancing the capacity of a controller area network (CAN) system, this paper presents a CAN system with dual communication channels as well as a traffic prediction method that predicts the traffic of each channel to allocates frames to the more appropriate channel. An experimental testbed using off-the-shelf microcontrollers with two CAN controllers was used to prove the feasibility of the traffic prediction method.
DOI:10.1109/ICCAS.2008.4694676