基于分级广播的电力物联网无线传感时间同步方法

Wireless Sensor Time Synchronization Method for Power Internet of Things Based on Hierarchical Broadcasting

针对现有的无线传感器时间同步算法无法平衡算法功耗与同步精度的问题,基于分级广播原理,提出了一种低功耗、较高精度的无线传感时间同步算法,使其更适用于电力物联网应用。首先在待同步的传感器中进行合理的分层分级;随后根据广播同步的方法在每层、每级传感器中分别同步,从而在降低同步功耗时减少了同步的中间环节;同时,在分级同步中采用最小二乘法对多次同步结果做最优估计,提高传感器间的时间同步精度。试验结果表明,方法能够实现微秒级别的同步,且功耗相对于传统的广播算法最高下降约85%,能很好地适应电力物联网中大量传感器的时间同步需求。

Aiming at the problem that the existing wireless sensor time synchronization algorithm cannot balance the algorithm power consumption and synchronization accuracy,based on the principle of hierarchical broadcasting,a wireless sensor time synchronization algorithm with low power consumption and high precision was proposed,which made it more suitable for power IoT applications.Firstly,perform reasonable hierarchical classification in the sensors to be synchronized;then synchronize in each layer and each level of sensors according to the method of broadcast synchronization,thereby reducing the synchronization power consumption and reducing the intermediate links of synchronization;at the same time,the least squares method was used in the hierarchical synchronization to make the optimal estimation of multiple synchronization results,which improves the time synchronization accuracy among sensors.The experimental results show that the method can achieve microsecond-level synchronization,and the power consumption can be reduced by about 85%compared with the traditional broadcast algorithm,which can well adapt to the time synchronization requirements of a large number of sensors in the power Internet of Things.