|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2010 10th IEEE International Conference on Computer and Information Technology
Scheduling Approach for Static Segment using Hybrid Genetic Algorithm in FlexRay Systems
Bradford, West Yorkshire, UK
June 29-July 01
ISBN: 978-0-7695-4108-2
| ASCII Text | x | ||
| Shan Ding, "Scheduling Approach for Static Segment using Hybrid Genetic Algorithm in FlexRay Systems," Computer and Information Technology, International Conference on, pp. 2355-2360, 2010 10th IEEE International Conference on Computer and Information Technology, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/CIT.2010.405, author = {Shan Ding}, title = {Scheduling Approach for Static Segment using Hybrid Genetic Algorithm in FlexRay Systems}, journal ={Computer and Information Technology, International Conference on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4108-2}, pages = {2355-2360}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2010.405}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer and Information Technology, International Conference on TI - Scheduling Approach for Static Segment using Hybrid Genetic Algorithm in FlexRay Systems SN - 978-0-7695-4108-2 SP2355 EP2360 A1 - Shan Ding, PY - 2010 KW - FlexRay systems KW - Hybrid genetic algorithm KW - Realtiming scheduling VL - 0 JA - Computer and Information Technology, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2010.405
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.
Index Terms:
FlexRay systems, Hybrid genetic algorithm, Realtiming scheduling
Citation:
Shan Ding, "Scheduling Approach for Static Segment using Hybrid Genetic Algorithm in FlexRay Systems," cit, pp.2355-2360, 2010 10th IEEE International Conference on Computer and Information Technology, 2010
Usage of this product signifies your acceptance of the Terms of Use.