Research on Teaching Resources Sharing Mechanism of Higher Education Park

摘要

This paper presents the relationship between timing and level using Bayesian model for sensor network node failure prediction methods, combined with each node sensor network processing information, the use of qualitative analysis time information will be integrated into the node to analyze the fault propagation mechanism and failure prediction ; according to the probability of failure history information node and the current operating conditions, forecasts and determination nodes, using the parameters of learning and probabilistic reasoning, predict the probability of failure of the upper node. Through simulation analysis, and comparative analysis with other forecasting methods to verify the accuracy and precision of the method for sensor network node failure prediction provides new ideas and methods.