基于时空关联性的无线传感网络数据融合算法  

Wireless Sensor Network Data Fusion Algorithm based on Spatio-temporal Correlation

作　　者：陈加伦 邹腾跃 张伯琰 CHEN Jia–lun;ZOU Teng–yue;ZHANG Bo–yan(College of Mechanical and Electronic Engineering,Fujian Agriculture and Forestry University,Fuzhou 350001,China)

机构地区：[1]福建农林大学机电工程学院,福建福州350001

出　　处：《电脑知识与技术》2021年第36期64-66,69,共4页Computer Knowledge and Technology

摘　　要：针对无线传感器网络环境监测过程中,错误的节点信息对数据融合结果准确性造成的影响,根据环境参数在时域与空间域上所拥有的不可突变的物理特性,提出了一种基于时空关联性的无线传感网络数据融合算法。通过使用最小二乘法多项式拟合对当前时刻的参数进行估计,利用传感器节点的位置信息以及兄弟节点数据之间的空间关联性,得到节点间空间相关支持度。通过仿真验证提出的数据融合算法可以有效增加数据融合结果的准确性。Aiming at the impact of incorrect node information on the accuracy of data fusion results in the process of wireless sensor network environmental monitoring, according to the non-mutable physical characteristics of environmental parameters in the time and space domains, a wireless sensor network data fusion algorithm based on time-space correlation is proposed. By using the least squares polynomial fitting to estimate the parameters at the current moment, the position information of the sensor nodes and the spatial correlation between the data of the sibling nodes are used to obtain the spatial correlation support between nodes. It is verified by simulation that the proposed data fusion algorithm can effectively increase the accuracy of the data fusion results.

关 键 词：无线传感网络 数据融合 时空关联性 OPNET软件 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]