摘要
为了解决无线传感器网络应用中节点时钟因各自频率与偏移不同步的问题,提高时钟同步的精度和收集到数据的时效性,提出了基于节点自补偿的IEEE 1588时钟同步算法。该算法在IEEE 1588协议中时钟同步的基础上引入主从节点补偿的理念,以主节点为全局中心,周边所有的从节点依据与主节点时钟间的Kalman最优估计差值进行自补偿,从而达到更高精度的同步。实验表明:经过补偿算法优化后的时钟偏移同步性能综合提升较大,同时同步后时钟系统更稳定,能量损耗低。
In order to solve the problem of node clock synchronization due to their respective frequencies and offsets in wireless sensor network applications,and improve the accuracy of clock synchronization and the timeliness of collected data,an IEEE 1588 clock synchronization algorithm based on node self-compensation is proposed.Based on clock synchronization in IEEE 1588 protocol,the idea of master-slave node compensation is introduced.With the master node as the global center,all the surrounding slave nodes perform self-compensation according to the Kalman optimal estimation difference between the slave nodes and the master node,so as to achieve higher precision synchronization.The experimental results show that the clock offset synchronization performance is improved greatly after the compensation algorithm is optimized,and the clock system is more stable and the energy loss is lower after the synchronization.
作者
卢灏
余修武
刘永
LU Hao;YU Xiuwu;LIU Yong(School of Resource Environment and Safety Engineering,University of South China,Hengyang Hunan 421001,China;Hunan Engineering Research Center for Uranium Mill Tailings Decommissioning and Treatment,Hengyang Hunan 421001,China;Hunan Provincial Engineering Research Center of Radioactivity Control Technology in Uranium Mining and Metallurgy,Hengyang Hunan 421001,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2023年第1期53-59,共7页
Chinese Journal of Sensors and Actuators
基金
湖南省市联合自然科学基金项目(2021JJ50093)
国家自然科学基金项目(11875164)
湖南省重点研发计划项目(2018SK2055)。
关键词
无线传感器网络
时钟同步
主从节点补偿
Kalman最优估计
wireless sensor network
clock synchronization
master-slave node compensation
Kalman optimal estimation
作者简介
卢灏(1998-),男,汉族,江苏南通人,硕士研究生,主要研究方向为无线传感器网络与安全智能监测和电气工程及其自动化;通讯作者:余修武(1976-),男,汉族,江西九江人,中共党员,博士,教授,硕士研究生导师,主要研究方向是无线传感器网络与智能安全监控、铀矿冶安全与核污染在线监测预警和电气安全工程;刘永(1971-),男,汉族,中共党员,教授,博士,博士研究生导师,主要研究方向为铀尾矿监测和安全综合评价。
