基于卡尔曼滤波的TPSN时钟同步算法  

TPSN clock synchronization algorithm based on Kalman filter

作　　者：张梅[1] 荣昆 张双双 Zhang Mei;Rong Kun;Zhang Shuangshuang(School of Electrical and Information Engineering,Anhui University of Science&Technology,Huainan 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,淮南232001

出　　处：《电子测量技术》2020年第18期43-46,共4页Electronic Measurement Technology

基　　金：国家自然科学基金(51874010);淮北矿业集团科研项目(HX2019052530)资助。

摘　　要：无线传感网络中,很多应用都依赖于节点间的时钟同步。针对节点的时钟偏移和时钟偏移率导致的时钟不同步的问题,提出了一种基于卡尔曼滤波的TPSN时钟同步算法。该算法利用卡尔曼滤波算法对TPSN时钟同步协议中的时钟偏移和时钟偏移率进行估计,使用该估计值对节点的时钟进行修正。该算法可有效消除时钟偏差的测量噪声、补偿时钟偏差,使得节点得到更精确的时钟同步。仿真结果表明,较传统的TPSN时钟同步算法,所提算法的时钟同步精度更高,性能更好。In wireless sensor networks, many applications rely on clock synchronization between nodes. In order to solve the problem of clock synchronization caused by node clock offset and clock offset rate, a TPSN clock synchronization algorithm based on Kalman filter is proposed. The algorithm uses Kalman filter algorithm to calculate the clock offset and clock offset rate in TPSN clock synchronization protocol, and uses the calculated value to correct the node clock. This algorithm can effectively eliminate the measurement noise of clock deviation and compensate clock deviation, so that nodes can get more accurate clock synchronization. The simulation results show that compared with the traditional TPSN clock synchronization algorithm, the proposed algorithm has higher clock synchronization accuracy and better performance.

关 键 词：无线传感网络 时钟同步 TPSN 卡尔曼滤波 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]