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无线传感器网络簇内分级数据融合算法
Alternative Titlefusion algorithm of hierarchical data in cluster for wireless sensor network
李海永; 李晓; 张岩
2011
Source Publication计算机工程
ISSN1000-3428
Volume37Issue:12Pages:82-84
Abstract

根据无线传感器网络(WSN)资源受限的特点,在主成分分析融合方法的基础上提出一种WSN簇内分级数据融合算法。采用自学习加权方法估计各个传感器的测量方差,通过线性无偏最小方差估计法对簇内传感器节点的测量数据进行修正,用主成分分析方法得出各传感器的综合支持度和数据融合的公式。通过应用实例和仿真结果验证该方法的有效性和可靠性。

Other Abstract

In order to adapt to resources-constrained Wireless Sensor Network(WSN),an improved Fusion Algorithm of Hierarchical Data in Cluster for WSN is proposed on the basis of the Principal Component Analysis(PCA).Self-learning weighted method estimates measured variance of every sensor.The linear unbiased minimum variance estimate method is adopted,which is able to reduce the errors of measured datum of the cluster sensor nodes.The formulas of comprehensive support degree of each sensor and data fusion are obtained according to the PCA method.The application example and simulation results prove that the method is effective and reliable.

Keyword无线传感器网络 数据融合 线性估计 主成分分析
Subject AreaComputer Science (Provided By Thomson Reuters)
Indexed ByCSCD
CSCD IDCSCD:4225896
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/1559
Collection多语种信息技术研究室
Affiliation中国科学院新疆理化技术研究所;中国科学院研究生院
Recommended Citation
GB/T 7714
李海永,李晓,张岩. 无线传感器网络簇内分级数据融合算法[J]. 计算机工程,2011,37(12):82-84.
APA 李海永,李晓,&张岩.(2011).无线传感器网络簇内分级数据融合算法.计算机工程,37(12),82-84.
MLA 李海永,et al."无线传感器网络簇内分级数据融合算法".计算机工程 37.12(2011):82-84.
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