计算机工程2011，Vol.37Issue(12)：82-84,3.DOI:10.3969/j.issn.1000-3428.2011.12.028
无线传感器网络簇内分级数据融合算法
Fusion Algorithm of Hierarchical Data in Cluster for Wireless Sensor Network
李海永 1李晓 2张岩1
作者信息
- 1. 中国科学院新疆理化技术研究所,乌鲁木齐830011
- 2. 中国科学院研究生院,北京100049
- 折叠
摘要
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.关键词
无线传感器网络/数据融合/线性估计/主成分分析/簇Key words
Wireless Sensor Network(WSN)/ data fusion/ linear estimation/ Principal Component Analysis(PCA)/ cluster分类
信息技术与安全科学引用本文复制引用
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):82-84,3.
