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Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity
- Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity
- Lee, S[Lee, S.]; Lee, DH[Lee, D. H.]; Kim, MH[Kim, M. H.]; Lee, KC[Lee, K. C.]
- DGIST Authors
- Kim, MH[Kim, M. H.]
- Issue Date
- International Journal of Automotive Technology, 11(4), 525-531
- Article Type
- Algorithms; Allocation Methods; Balancing Algorithms; Communication Channels (Information Theory); Control System Synthesis; Controller Area Network (CAN); Controllers; Double Exponential Smoothing Method; Electronics Industry; Exponential Smoothing Method; In-Vehicle Network (IVN) System; In-Vehicle Networks; Intelligent Vehicle Highway Systems; Message Allocation Method; Network Protocols; Power Electronics; Process Control; Telecommunication Networks; Traffic-Balancing Algorithm; Traffic Prediction; Traffic Prediction Method; Vehicles
- 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.
- Korean Society of Automotive Engineers
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