Improving Prediction Accuracy for WSN Data Reduction by Applying Multivariate Spatio-Temporal Correlation

Improving Prediction Accuracy for WSN Data Reduction by Applying Multivariate Spatio-Temporal Correlation

This paper proposes a method based on multivariate spatial and temporal correlation to improve prediction accuracy in data reduction for Wireless Sensor Networks (WSN). Prediction of data not sent to the sink node is a technique used to save energy in WSNs by reducing the amount of data traffic. How...

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Bibliographic Details
Main Authors: José Neuman de Souza, Danielo G. Gomes, Nazim Agoulmine, Carlos Carvalho
Format: Article
Language:English
Published: MDPI AG 2011-10-01
Series:Sensors
Subjects:
wireless sensor networks
multivariate correlation
data reduction
Online Access:http://www.mdpi.com/1424-8220/11/11/10010/

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