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