Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor

Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor

Data integrity in wireless sensor networks (WSN) is very important because incorrect or missing values could result in the system making suboptimal or catastrophic decisions. Data imputation allows for a system to counteract the effect of data loss by substituting faulty or missing sensor values wit...

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Bibliographic Details
Main Authors: Michael Matusowsky, Daniel T. Ramotsoela, Adnan M. Abu-Mahfouz
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Sensor and Actuator Networks
Subjects:
data imputation
wireless sensor network
machine learning
neural network
virtual sensor
Online Access:https://www.mdpi.com/2224-2708/9/2/25

Internet

https://www.mdpi.com/2224-2708/9/2/25

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