A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks

A Unified Bayesian Framework for Joint Estimation and Anomaly Detection in Environmental Sensor Networks

Advanced large-scale environmental monitoring systems relying on the emerging aerial/terrestrial technologies of wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs), and mobile crowdsensing, impose strong requirements on the reliability of the collected data. Unfortunately, sensing unit...

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Bibliographic Details
Main Authors: Alessio Fascista, Angelo Coluccia, Chiara Ravazzi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Anomaly detection
Gaussian mixture models
maximum-likelihood and Bayesian estimation
outlier detection
sensor networks
Online Access:https://ieeexplore.ieee.org/document/9998511/

Internet

https://ieeexplore.ieee.org/document/9998511/

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