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Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity
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Title
Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity
Issued Date
2010-08
Citation
Lee, S. (2010-08). Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity. International Journal of Automotive Technology, 11(4), 525–531. doi: 10.1007/s12239-010-0064-7
Type
Article
Author Keywords
Traffic-balancing algorithmTraffic prediction methodMessage allocation methodDouble exponential smoothing methodController Area Network (CAN)In-vehicle network (IVN) system
Keywords
AlgorithmsAllocation MethodsBalancing AlgorithmsCommunication Channels (Information Theory)Control System SynthesisController Area NetworkController Area Network (CAN)ControllersDouble Exponential Smoothing MethodElectronics IndustryExponential Smoothing MethodIn-Vehicle Network (Ivn) SystemIn-Vehicle NetworksIntelligent Vehicle Highway SystemsMessage Allocation MethodNetwork ProtocolsPower ElectronicsProcess ControlTelecommunication NetworksTraffic-Balancing AlgorithmTraffic PredictionTraffic Prediction MethodVehicles
ISSN
1229-9138
Abstract
The controller area network (CAN) is the dominant protocol for in-vehicle network (IVN) systems because it provides bounded transmission delay among electronic control units (ECUs) at data rates between 100 Kbps and 1 Mbps. Many automotive companies have chosen the CAN protocol for their chassis network system of intelligent vehicles. However, the increasing number of ECUs in intelligent vehicles and the need for more intelligent functions require a network system with more network capacity and real-time capability. As one approach to enhance the network capacity of a CAN system, this paper introduces a CAN system with dual communication channels. This paper also presents a traffic-balancing algorithm that predicts the traffic of each channel and allocates frames to the most appropriate channel. An experimental testbed using commercial off-the-shelf microcontrollers with two CAN controllers was used to demonstrate the feasibility of the traffic-balancing algorithm. © 2010 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
URI
http://hdl.handle.net/20.500.11750/2492
DOI
10.1007/s12239-010-0064-7
Publisher
Korean Society of Automotive Engineers
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