Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Spatio-Temporal Optimization of Perishable Goods’ Shelf Life by a Pro-Active WSN-Based Architecture
por: De Venuto, Daniela, et al.
Publicado: (2018) -
Multivariate Kalman filtering for spatio-temporal processes
por: Ferreira, Guillermo, et al.
Publicado: (2022) -
Multivariate Modeling for Spatio-Temporal Radon Flux Predictions
por: De Iaco, Sandra, et al.
Publicado: (2023) -
Autonomic network management principles: from concepts to applications
por: Agoulmine, Nazim
Publicado: (2011) -
Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering
por: Rawassizadeh, Reza, et al.
Publicado: (2019)