煤矿井下WSN最优线性拟合时间同步算法

Optimal Linear Fitting Time Synchronization Algorithm For Coal Mine WSN

针对煤矿井下无线传感器网络结构的特殊性以及由节点时钟不稳定性对同步精度产生的影响,提出一种基于最优线性拟合时间同步算法。在传统TPSN(Timing-sync Protocol for Sensor Networks)算法的基础上,建立一种新型算法模型,并利用线性回归算法对时钟漂移进行补偿,过滤异常数据点,从而提高同步的精度,减少异常数据点对同步精度的影响,延长同步时间。实验结果表明:该算法能有效提高同步精度和稳定性。

For the particularity of coal mine wireless sensor network structure and the impact of nodes clock instability on synchroniza- tion precision, we proposes a time synchronization algorithm based on the optimal linear fitting. On the basis of analyzing the traditional TPSN（ Timingsync Protocol for Sensor Networks）algorithm, it establishes a new type of algorithm model, and by using linear regression algorithm compensates clock drift and filters abnormal data points which improves the accuracy of synchronization, reduces the influence of abnormal data points on the synchronization accuracy, and extends the synchronization time. The experimental results show that the proposed algorithm can effectively improve the synchronization accuracy and stability.