Fault Detection in Wireless Sensor Networks Data Using Random Under Sampling and Extra-Tree Algorithm

As a highly diverse cyber-physical system, Wireless Sensor Network (WSN) is vulnerable to various failures, which can have catastrophic consequences for safety, economy, and system dependability. Due to the various deployments and limitations of sensor resources, proper detection and diagnosis of fa...

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Bibliographic Details

Published in:	International Conference on Cybe and IT Service Management (Online) pp. 1 - 6
Main Authors:	Wardhani, Luh Kesuma, Febriyanto, Rifqi Adjie, Anggraini, Nenny
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20.09.2022
Subjects:	Biological system modeling Classification Extra-Tree Algorithm Fault detection Machine Learning Radio frequency Sampling methods Support vector machines Under Sampling Method Wireless communication Wireless Sensor Network Wireless sensor networks WSN
ISSN:	2770-159X
Online Access:	Get full text
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