DocumentCode :
2838314
Title :
A hybrid GA-based scheduling method for static segment in Flexray systems
Author :
Ding, Shan ; Yin, Xiaona ; Xu, Hongming ; Zhang, Shi
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
1548
Lastpage :
1552
Abstract :
FlexRay provides a communication infrastructure for future generation high-speed control applications in vehicle such as advanced powertrain, chassis, and by-wire systems. In FlexRay, the static segment is based on Time Division Multiple Access (TDMA) to achieve distributed control loops. Therefore, scheduling of the static segment is critical for an efficient FlexRay-based system designing. In this paper, the bin-packing algorithm and the hybrid genetic algorithm basing on bin-packing algorithm are proposed. We have computed the response times of all the tasks and messages in the system so that the message can be transmitted successfully before the deadline. At the finally, we compare bin-packing algorithm, genetic algorithm and hybrid genetic algorithm to verify the validity of the hybrid genetic algorithm through a test of Automotive Safety System.
Keywords :
automotive engineering; bin packing; distributed control; genetic algorithms; protocols; road safety; scheduling; time division multiple access; FlexRay systems; advanced powertrain; automotive safety system; bin-packing algorithm; by-wire systems; chassis; distributed control loops; high-speed control application; hybrid genetic algorithm-based scheduling method; static segment scheduling; time division multiple access; vehicle; Communication system control; Control systems; Delay; Distributed control; Genetic algorithms; Intelligent vehicles; Mechanical power transmission; Power generation; Processor scheduling; Time division multiple access; FlexRay systems; Hybrid genetic algorithm; Real-timing scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498271
Filename :
5498271
Link To Document :
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