Machine Learning Based Hybrid Model for Fault Detection in Wireless Sensors Data

Machine Learning Based Hybrid Model for Fault Detection in Wireless Sensors Data

Wireless Sensor Networks (WSN) refers to a group of spatially deployed and dedicated sensors for sending, recording, and monitoring the physical conditions of the environment and transmitting the collected data to a central location. The major challenge is to extract high level knowledge from such d...

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Bibliographic Details
Main Authors: P. Vamsi, Anjali Chahuan
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2020-01-01
Series:EAI Endorsed Transactions on Scalable Information Systems
Subjects:
anomaly detection
outliers
fault detection
wireless sensor networks
internet of things (iot)
intel berkeley research lab (ibrl)
knowledge discovery
time-series data
pattern recognition
histogram based outlier score (hbos)
minimum covariant determinant (mcd)
isolation forests (if)
Online Access:https://eudl.eu/pdf/10.4108/eai.13-7-2018.161368

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https://eudl.eu/pdf/10.4108/eai.13-7-2018.161368

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