[PDF][PDF] Data Fault Detection Using Minimum Redundancy Maximum Relevance in Combination with Support Vector

S Muthurajkumar - 2022 - scholar.archive.org
Wireless Sensor Network (WSN) refers to a network of devices that can communicate the
informa-tion gathered from a monitored field through wireless links. WSNs measures …

Data fault detection in wireless sensor networks using machine learning techniques

PI Priya, S Muthurajkumar, SS Daisy - Wireless Personal Communications, 2022 - Springer
Abstract Wireless Sensor Network (WSN) is a wireless network that consists of spatially
distributed autonomous devices with sophisticated subsystem called sensors to monitor the …

Faulty Sensor Detection Approach for Wireless Sensor Networks Based on Artificial Intelligence and Information Theory

NS AbdElrahman, OM Salim… - 2023 24th International …, 2023 - ieeexplore.ieee.org
Wireless sensor network (WSN) is a main structure of wireless network made up of several
linked sensor nodes. These nodes are sensors that are used to observe different …

[HTML][HTML] Efficient Machine Learning Classifier for Fault Detection in Wireless Sensor Networks

PG Miathali - Wireless Sensor Networks-Design, Applications and …, 2023 - intechopen.com
The deployment of wireless sensor networks in unpredictable and dangerous conditions
makes them prone to software, hardware, and communication errors. Sensors are physical …

Fault detection in wireless sensor networks through SVM classifier

S Zidi, T Moulahi, B Alaya - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are prone to many failures such as hardware failures,
software failures, and communication failures. The fault detection in WSNs is a challenging …

Diagnosis of Faults in Wireless Sensor Networks Through Machine Learning Approach

PS Shakunt - International Conference on Human-Centric Smart …, 2023 - Springer
Wireless sensor networks (WSNs) are susceptible to errors because they are deployed in
hazardous and unpredictable environments. WSNs have many challenges when it comes to …

Utilizing Machine Learning for Sensor Fault Detection in Wireless Sensor Networks

A Abdulkarim, IE Ehile… - 2024 26th International …, 2024 - ieeexplore.ieee.org
This paper discusses the utilization of machine learning for sensor fault detection in Wireless
Sensor Networks (WSNs). The WSN comprises many wireless devices with limited …

Sensor fault detection scheme based on deep learning and support vector machine

JW Yang, YD Lee, IS Koo - The Journal of The Institute of Internet …, 2018 - koreascience.kr
As machines have been automated in the field of industries in recent years, it is a paramount
importance to manage and maintain the automation machines. When a fault occurs in …

Analysis of fault classifiers to detect the faults and node failures in a wireless sensor network

S Gnanavel, M Sreekrishna, V Mani, G Kumaran… - Electronics, 2022 - mdpi.com
Technology evaluation in the electronics field leads to the great development of Wireless
Sensor Networks (WSN) for a variety of applications. The sensor nodes are deployed in …

Sensor fault classification based on support vector machine and statistical time-domain features

SU Jan, YD Lee, J Shin, I Koo - IEEE Access, 2017 - ieeexplore.ieee.org
This paper deals with the problem of fault detection and diagnosis in sensors considering
erratic, drift, hard-over, spike, and stuck faults. The data set containing samples of the above …