Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
Abstract
Heterogeneous wireless sensor networks are a source of large amount of different information representing environmental aspects such as light, temperature, and humidity. A very important research problem related to the analysis of the sensor data is the detection of relevant anomalies. In this work, we focus on the detection of unexpected sensor data resulting either from the sensor system itself or from the environment under scrutiny. We...
Paper Details
Title
Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance
Published Date
Dec 1, 2019
Journal
Volume
52
Pages
13 - 30
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