A Genetic Algorithms based optimization for TTCAN Export

@inproceedings{qiao07ttcan, abstract = {Controller Area Network (CAN), a typical event- triggered protocol, has been widely used in constructing distributed real time network. A common opinion is that the arbitration mechanism of CAN might introduce jitters, which is highly undesirable in time and safety critical applications. Time-triggered protocols address exactly the problem. Time- triggered protocols, such as Flexray, Time-Triggered CAN (TTCAN) and Time-Triggered Protocol (TTP/C), have been applied in time and safety critical applications because they provide deterministic response times for time and safety critical tasks. Recently, much attention has been paid to them. TTCAN, a time-triggered extension of CAN, can easily apply to the numerous of existing CAN-implementations in a wide range of real time requirement fields. A key problem of TTCAN is how to design an effective scheduling table off-line. In this paper, we analyze message set and design scheduling table from a new angle of view, and the key point of the view is to make event-triggered messages gain the maximum transmission times by minimizing the space occupied by time-triggered messages. Then a Genetic Algorithms (GAs) based method is proposed to optimize the scheduling table consequently.}, author = {Qiao, Xin and Wang, Kun-Feng and Sun, Yuan and Huang, Wu-Ling and Wang, Fei-Yue}, booktitle = {IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, citeulike-article-id = {4945325}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICVES.2007.4456367}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4456367}, doi = {10.1109/ICVES.2007.4456367}, journal = {IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, keywords = {automotive, genetic-algorithm, ttcan}, pages = {1--7}, posted-at = {2009-06-24 16:38:02}, priority = {2}, title = {A Genetic Algorithms based optimization for TTCAN}, url = {http://dx.doi.org/10.1109/ICVES.2007.4456367}, year = {2007} }

TY - CONF ID - qiao07ttcan L3 - citeulike-article-id:4945325 N2 - Controller Area Network (CAN), a typical event- triggered protocol, has been widely used in constructing distributed real time network. A common opinion is that the arbitration mechanism of CAN might introduce jitters, which is highly undesirable in time and safety critical applications. Time-triggered protocols address exactly the problem. Time- triggered protocols, such as Flexray, Time-Triggered CAN (TTCAN) and Time-Triggered Protocol (TTP/C), have been applied in time and safety critical applications because they provide deterministic response times for time and safety critical tasks. Recently, much attention has been paid to them. TTCAN, a time-triggered extension of CAN, can easily apply to the numerous of existing CAN-implementations in a wide range of real time requirement fields. A key problem of TTCAN is how to design an effective scheduling table off-line. In this paper, we analyze message set and design scheduling table from a new angle of view, and the key point of the view is to make event-triggered messages gain the maximum transmission times by minimizing the space occupied by time-triggered messages. Then a Genetic Algorithms (GAs) based method is proposed to optimize the scheduling table consequently. JF - IEEE International Conference on Vehicular Electronics and Safety (ICVES) EP - 7 TI - A Genetic Algorithms based optimization for TTCAN T2 - IEEE International Conference on Vehicular Electronics and Safety (ICVES) SP - 1 KW - automotive KW - genetic-algorithm KW - ttcan AU - Qiao, Xin AU - Wang, Kun-Feng AU - Sun, Yuan AU - Huang, Wu-Ling AU - Wang, Fei-Yue PY - 2007/// UR - http://dx.doi.org/10.1109/ICVES.2007.4456367 ER -