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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Detalles Bibliográficos
Autores principales: Carvalho, Carlos, Gomes, Danielo G., Agoulmine, Nazim, de Souza, José Neuman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274268/
https://www.ncbi.nlm.nih.gov/pubmed/22346626
http://dx.doi.org/10.3390/s111110010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274268/
https://www.ncbi.nlm.nih.gov/pubmed/22346626
http://dx.doi.org/10.3390/s111110010

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