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