传感技术学报2025，Vol.38Issue(4)：705-710,6.DOI:10.3969/j.issn.1004-1699.2025.04.018
时间序列分析下车联网无线传感设备数据融合算法
Time Series Analysis of Data Fusion Algorithm for Wireless Sensor Devices in the Vehicle Network
摘要
Abstract
In order to improve the accuracy of data fusion for wireless sensor devices in the internet of vehicles,reduce fusion time and energy consumption,a time series analysis algorithm for data fusion of wireless sensor devices in the Internet of Vehicles is proposed.Firstly,wavelet threshold method is used to denoise data collected from multiple wireless sensing devices in the vehicle networking sys-tem.Secondly,an ARMA time series analysis model is created to predict changes in data time series.Finally,the node trust value is cal-culated based on current data and predicted future data,and the data are aggregated to the node with the highest trust value to achieve data fusion.The simulation analysis results show that this fusion method has an average error of less than 0.1,an average absolute error of less than 0.2,an average relative error of less than 0.25,a root mean square error of less than 0.08,a node energy utilization rate of more than 90％,a fusion time of less than 1 second,and the advantages of high fusion accuracy,low energy consumption,and short time.The sensor data fusion effect is good.关键词
无线传感设备/数据去噪/时间序列分析/ARMA模型/数据融合算法Key words
wireless sensing equipment/data denoising/time series analysis/ARMA model/data fusion algorithm分类
计算机与自动化引用本文复制引用
邹琴琴,陈烽..时间序列分析下车联网无线传感设备数据融合算法[J].传感技术学报,2025,38(4):705-710,6.基金项目
海南省自然科学基金项目(618MS082) （618MS082）
