Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring
The paper reveals the essence and features of the proposed approach to detecting anomalies in a self-organizing decentralized wireless sensor network (WSN). As a basis for detecting anomalies, the used WSN is intended to monitor atmospheric air pollution near industrial facilities and human life obj...
Main Authors: | Meleshko Alexey, Desnitsky Vasily, Kotenko Igor |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2021/15/matecconf_icmtmte2021_03002.pdf |
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