Shi Fanrong, Tuo Xianguo, Yang Simon X, Li Huailiang, Shi Rui
Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Southwest University of Science and Technology, Mianyang 621010, China.
College of Chemistry and Environment, Sichuan University of Science and Engineering, Zigong 643000, China.
Sensors (Basel). 2017 May 4;17(5):1027. doi: 10.3390/s17051027.
Wireless sensor networks (WSNs) have been widely used to collect valuable information in Structural Health Monitoring (SHM) of bridges, using various sensors, such as temperature, vibration and strain sensors. Since multiple sensors are distributed on the bridge, accurate time synchronization is very important for multi-sensor data fusion and information processing. Based on shape of the bridge, a spanning tree is employed to build linear topology WSNs and achieve time synchronization in this paper. Two-way time message exchange (TTME) and maximum likelihood estimation (MLE) are employed for clock offset estimation. Multiple TTMEs are proposed to obtain a subset of TTME observations. The time out restriction and retry mechanism are employed to avoid the estimation errors that are caused by continuous clock offset and software latencies. The simulation results show that the proposed algorithm could avoid the estimation errors caused by clock drift and minimize the estimation error due to the large random variable delay jitter. The proposed algorithm is an accurate and low complexity time synchronization algorithm for bridge health monitoring.
无线传感器网络(WSN)已被广泛用于桥梁结构健康监测(SHM)中收集有价值的信息,它使用各种传感器,如温度、振动和应变传感器。由于多个传感器分布在桥梁上,精确的时间同步对于多传感器数据融合和信息处理非常重要。本文基于桥梁的形状,采用生成树构建线性拓扑无线传感器网络并实现时间同步。采用双向时间消息交换(TTME)和最大似然估计(MLE)进行时钟偏移估计。提出了多个TTME以获得TTME观测值的一个子集。采用超时限制和重试机制来避免由连续时钟偏移和软件延迟引起的估计误差。仿真结果表明,所提出的算法可以避免由时钟漂移引起的估计误差,并将由于大随机变量延迟抖动导致的估计误差降至最低。所提出的算法是一种用于桥梁健康监测的精确且低复杂度的时间同步算法。