DocumentCode :
2200361
Title :
Scheduling Approach for Static Segment using Hybrid Genetic Algorithm in FlexRay Systems
Author :
Ding, Shan
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2010
fDate :
June 29 2010-July 1 2010
Firstpage :
2355
Lastpage :
2360
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 end, 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 :
distributed control; genetic algorithms; road vehicles; scheduling; time division multiple access; FlexRay systems; automotive safety system; bin-packing algorithm; communication infrastructure; distributed control loops; high-speed control applications; hybrid genetic algorithm; scheduling approach; static segment; time division multiple access; vehicle; Bandwidth; Pediatrics; Processor scheduling; Program processors; Protocols; Scheduling; Time factors; FlexRay systems; Hybrid genetic algorithm; Realtiming scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
Type :
conf
DOI :
10.1109/CIT.2010.405
Filename :
5578306
Link To Document :
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