• 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