Adaptive-PCA: An event-based data aggregation using principal component analysis for WSNs
© 2015 IEEE. Dimensionality reduction techniques are convenient for data aggregation to reduce battery energy consumption in sensor nodes. Normally, principal component analysis (PCA), a dimensionality reduction technique, has been used for data aggregation in WSNs. However, PCA yields to data error...
Saved in:
Main Authors: | Patcharapol Poekaew, Paskorn Champrasert |
---|---|
格式: | Conference Proceeding |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85009165982&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54320 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Adaptive-PCA: An event-based data aggregation using principal component analysis for WSNs
由: Patcharapol Poekaew, et al.
出版: (2018) -
Adaptive Transmission Range Based on Event Detection for WSNs
由: Autanan Wannachai, et al.
出版: (2018) -
Adaptive Transmission Range Based on Event Detection for WSNs
由: Autanan Wannachai, et al.
出版: (2018) -
Coverage and installation cost optimization in WSNs using a fitness-based crossover evolutionary algorithm
由: Paskorn Champrasert, et al.
出版: (2018) -
APPLICATION OF PRINCIPAL COMPONENT ANALYSIS (PCA) FOR DATA RECONCILIATION ON MULTISTAGE COMPRESSOR
由: Yudha, Wielianto