Data-Driven Anomaly Detection Approach for Time-Series Streaming Data

Data-Driven Anomaly Detection Approach for Time-Series Streaming Data

Recently, wireless sensor networks (WSNs) have been extensively deployed to monitor environments. Sensor nodes are susceptible to fault generation due to hardware and software failures in harsh environments. Anomaly detection for the time-series streaming data of sensor nodes is a challenging but cr...

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Bibliographic Details
Main Authors: Minghu Zhang, Jianwen Guo, Xin Li, Rui Jin
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
wireless sensor network
environmental monitoring
anomaly detection
fault diagnosis
data mining
Online Access:https://www.mdpi.com/1424-8220/20/19/5646

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