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泛洪式时间同步算法通过对发送节点和接收节点的时标对进行线性拟合,估计接收节点相对于发送节点的时间同步参数,从而修正接收节点的本地时间.线性拟合算法的选择直接影响了同步的精度.因此采用有限加权最小二乘法实现算法中的线性拟合.有限加权最小二乘法相对于传统的最小二乘法,增加了对旧数据点所带来的观察噪声的处理,降低了观察噪声对同步精度的影响,此外算法增加了对异常数据的处理,避免了异常数据对同步精度的影响.实验表明提出的算法有效地提高了同步精度.
The flood time synchronization algorithm adjusts the receiving node’s local time by linearly fitting the time-series pairs of sending node and receiving node to estimate the time synchronization parameters of the receiving node with respect to the sending node.The selection of the linear fitting algorithm has a direct effect The precision of synchronization is improved.So the linear fitting in the algorithm is realized by the finite weighted least square method.The finite weighted least square method increases the observation noise caused by the old data points compared with the traditional least square method and reduces The effect of noise on the synchronization accuracy is observed, and in addition, the algorithm increases the processing of the abnormal data and avoids the influence of the abnormal data on the synchronization accuracy. Experiments show that the proposed algorithm effectively improves the synchronization accuracy.