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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2224-2708/9/2/25 |
| _version_ | 1797566937879805952 |
|---|---|
| author | Michael Matusowsky Daniel T. Ramotsoela Adnan M. Abu-Mahfouz |
| author_facet | Michael Matusowsky Daniel T. Ramotsoela Adnan M. Abu-Mahfouz |
| author_sort | Michael Matusowsky |
| collection | DOAJ |
| description | 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 with system-defined virtual values. This paper proposes a virtual sensor system that uses multi-layer perceptrons (MLP) to impute sensor values in a WSN. The MLP was trained using a genetic algorithm which efficiently reached an optimal solution for each sensor node. The system was able to successfully identify and replace physical sensor nodes that were disconnected from the network with corresponding virtual sensors. The virtual sensors imputed values with very high accuracies when compared to the physical sensor values. |
| first_indexed | 2024-03-10T19:33:31Z |
| format | Article |
| id | doaj.art-3bf3e933c1254878ab46baf6afd90ed0 |
| institution | Directory Open Access Journal |
| issn | 2224-2708 |
| language | English |
| last_indexed | 2024-03-10T19:33:31Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj.art-3bf3e933c1254878ab46baf6afd90ed02023-11-20T01:52:15ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082020-05-01922510.3390/jsan9020025Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual SensorMichael Matusowsky0Daniel T. Ramotsoela1Adnan M. Abu-Mahfouz2Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South AfricaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South AfricaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South AfricaData 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 with system-defined virtual values. This paper proposes a virtual sensor system that uses multi-layer perceptrons (MLP) to impute sensor values in a WSN. The MLP was trained using a genetic algorithm which efficiently reached an optimal solution for each sensor node. The system was able to successfully identify and replace physical sensor nodes that were disconnected from the network with corresponding virtual sensors. The virtual sensors imputed values with very high accuracies when compared to the physical sensor values.https://www.mdpi.com/2224-2708/9/2/25data imputationwireless sensor networkmachine learningneural networkvirtual sensor |
| spellingShingle | Michael Matusowsky Daniel T. Ramotsoela Adnan M. Abu-Mahfouz Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor Journal of Sensor and Actuator Networks data imputation wireless sensor network machine learning neural network virtual sensor |
| title | Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor |
| title_full | Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor |
| title_fullStr | Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor |
| title_full_unstemmed | Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor |
| title_short | Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor |
| title_sort | data imputation in wireless sensor networks using a machine learning based virtual sensor |
| topic | data imputation wireless sensor network machine learning neural network virtual sensor |
| url | https://www.mdpi.com/2224-2708/9/2/25 |
| work_keys_str_mv | AT michaelmatusowsky dataimputationinwirelesssensornetworksusingamachinelearningbasedvirtualsensor AT danieltramotsoela dataimputationinwirelesssensornetworksusingamachinelearningbasedvirtualsensor AT adnanmabumahfouz dataimputationinwirelesssensornetworksusingamachinelearningbasedvirtualsensor |