Temporal and Spatial Nearest Neighbor Values Based Missing Data Imputation in Wireless Sensor Networks

Data missing is a common problem in wireless sensor networks. Currently, to ensure the performance of data processing, making imputation for the missing data is the most common method before getting into sensor data analysis. In this paper, the temporal and spatial nearest neighbor values-based miss...

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Detalles Bibliográficos
Autores principales: Deng, Yulong, Han, Chong, Guo, Jian, Sun, Lijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961379/
https://www.ncbi.nlm.nih.gov/pubmed/33806481
http://dx.doi.org/10.3390/s21051782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961379/
https://www.ncbi.nlm.nih.gov/pubmed/33806481
http://dx.doi.org/10.3390/s21051782

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