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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Detalles Bibliográficos
Autores principales: Zhang, Minghu, Guo, Jianwen, Li, Xin, Jin, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582627/
https://www.ncbi.nlm.nih.gov/pubmed/33023175
http://dx.doi.org/10.3390/s20195646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582627/
https://www.ncbi.nlm.nih.gov/pubmed/33023175
http://dx.doi.org/10.3390/s20195646

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