
The MVB master realized the real-time scheduling on periodicdata with preset period pollingtable.This article focused on thebad performance of information load uniformity based on the period pollingtable in tradition way. According to the immune-genetic algorithm,an optimization was delivered with a series of mathematical modeling work.This algorithm contributed to effectively avoid the degenerationof antibody fitness, and gain the targets of optimal solution for period pollingtable and great improvement in periodic data load uniformity.Besides,a network segment of MVB was established on OPNET Modeler with one master and several slaves,and the simulation resultsproved the effectiveness of the optimized solution.
period pollingtable, Railroad engineering and operation, MVB, immune-genetic algorithm, TF1-1620, OPNET
period pollingtable, Railroad engineering and operation, MVB, immune-genetic algorithm, TF1-1620, OPNET
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