Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling

The emerging low rank matrix approximation (LRMA) method provides an energy efficient scheme for data collection in wireless sensor networks (WSNs) by randomly sampling a subset of sensor nodes for data sensing. However, the existing LRMA based methods generally underutilize the spatial or temporal...

Descripción completa

Detalles Bibliográficos
Autores principales: Piao, Xinglin, Hu, Yongli, Sun, Yanfeng, Yin, Baocai, Gao, Junbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299056/
https://www.ncbi.nlm.nih.gov/pubmed/25490583
http://dx.doi.org/10.3390/s141223137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299056/
https://www.ncbi.nlm.nih.gov/pubmed/25490583
http://dx.doi.org/10.3390/s141223137

Ejemplares similares