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

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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Bibliographic Details
Main Authors: Yulong Deng, Chong Han, Jian Guo, Lijuan Sun
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
wireless sensor networks
missing data
imputation
temporal and spatial nearest neighbor values
regression
Online Access:https://www.mdpi.com/1424-8220/21/5/1782

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