NDLI: A GA-based Systematic Message Scheduling Method for Time-Triggered CAN

Content Provider	IEEE Xplore Digital Library
Author	Shan Ding Zhiqiang Xie Xiaona Yin
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang (Shan Ding; Zhiqiang Xie; Xiaona Yin)
Abstract	CAN has been developed to become the most popular control network solution employed in the automotive industry. Time-triggered CAN (TTCAN), which achieves time-triggered behavior by implementing time-division multiple access on the CAN network standard, is an option that will form the basis of a new generation of advanced safety critical distributed systems. Considering several performance metrics, such as bandwidth utilization, an optimal message schedule must be constructed for a given message set. In this paper, we analyzed differences between sets of messages and constructed system matrix that the schedule is generated based on it. Moreover, an optimization problem is how to make event-triggered messages gain the maximum transmission times by minimizing the transmission times occupied by time-triggered messages. A GA-based systematic message scheduling method is proposed to optimize the scheduling table. We have evaluated the proposed scheduling method using experiments.
Starting Page	455
Ending Page	460
File Size	506242
Page Count	6
File Format	PDF
ISBN	9780769534923
DOI	10.1109/EUC.2008.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Job shop scheduling Protocols Optimization methods Ubiquitous computing Scheduling method Automotive engineering Processor scheduling Genetic algorithm TTCAN Bandwidth Automatic control Electrical equipment industry
Content Type	Text
Resource Type	Article

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