MVB网络周期轮询算法优化与仿真研究
发布时间:2018-08-27 12:45
【摘要】:多功能车辆总线(MVB)主设备通过预置的周期扫描表实现对周期信息的实时调度。针对使用传统方法构建周期扫描表所造成的负载信息均匀度较差这一缺陷,在对构建周期扫描表这一组合优化问题进行数学建模的基础上,提出了一种基于免疫遗传算法的优化方案。该算法通过采用"免疫算子"能够有效避免抗体适应度的退化,达到高效求得周期扫描表最优解、周期信息负载均匀度大幅提高的目标。并在OPNET Modeler网络仿真平台中搭建了由MVB主、从设备构成的MVB网段,通过仿真验证了优化方案的有效性。
[Abstract]:Multifunctional Vehicle Bus (MVB) main equipment dispatches periodic information in real time by preset periodic scanning table. Aiming at the shortcoming of poor uniformity of load information caused by constructing periodic scanning table by traditional methods, a basis is proposed based on mathematical modeling of the combined optimization problem of constructing periodic scanning table. This algorithm can effectively avoid the degeneration of antibody fitness by using "immune operator" to obtain the optimal solution of periodic scan table and greatly improve the uniformity of periodic information load. The effectiveness of the optimization scheme is verified by simulation.
【作者单位】: 北京交通大学电气工程学院;
【基金】:中央高校基本科研业务费资助项目
【分类号】:TP393.0
[Abstract]:Multifunctional Vehicle Bus (MVB) main equipment dispatches periodic information in real time by preset periodic scanning table. Aiming at the shortcoming of poor uniformity of load information caused by constructing periodic scanning table by traditional methods, a basis is proposed based on mathematical modeling of the combined optimization problem of constructing periodic scanning table. This algorithm can effectively avoid the degeneration of antibody fitness by using "immune operator" to obtain the optimal solution of periodic scan table and greatly improve the uniformity of periodic information load. The effectiveness of the optimization scheme is verified by simulation.
【作者单位】: 北京交通大学电气工程学院;
【基金】:中央高校基本科研业务费资助项目
【分类号】:TP393.0
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