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基于分层的层内无线传感网络数据融合
引用本文:李同锋,杜秀娟,牛昆.基于分层的层内无线传感网络数据融合[J].现代电子技术,2014(20):11-13,18.
作者姓名:李同锋  杜秀娟  牛昆
作者单位:青海师范大学计算机学院
基金项目:国家自然科学基金项目(61162003);青海省自然科学基金项目(2012-z-902)
摘    要:无线传感网络数据融合能够有效减少传感节点的数据通信量,减少节点的能量消耗,延长了网络的寿命。本文提出了节点分层算法,在层内传感节点加入了具体的数据融合算法,利用拉依达准则对节点收到的数据进行异常数据检测,在上层节点利用主成分分析对剩余数据进行数据融合。通过仿真实验得出该算法数据融合结果准确率好。

关 键 词:无线传感网络  节点分层算法  拉依达准则  主成分分析

Wireless sensor network data fusion in layer based on hierarchy
LI Tong-feng,DU Xiu-juan,NIU Kun.Wireless sensor network data fusion in layer based on hierarchy[J].Modern Electronic Technique,2014(20):11-13,18.
Authors:LI Tong-feng  DU Xiu-juan  NIU Kun
Affiliation:, LI Tong-feng, DU Xiu-juan, NIU Kun(Computer School of Qinghai Normal University,Xining 810005,China)
Abstract:Data fusion of wireless sensor networks can effectively reduce the data traffic among sensing nodes and energy consumption of nodes,and prolong the life of networks. A node hierarchical algorithm is proposed in this paper. The specific da-ta fusion algorithm is added into the sensing node inside layer. The Pauta criterion is utilized in the algorithm the to detect the abnormal data which are received by nodes. The principal components analysis (PCA) is adopted to fuse the remaining data. The simulations experiment indicates this algorithm has a high data fusion accuracy.
Keywords:wireless network sensors  node hierarchical algorithm  Pauta criterion  principal component analysis
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