Extension of LoRa Coverage and Integration of an Unsupervised Anomaly Detection Algorithm in an IoT Water Quality Monitoring System

Extension of LoRa Coverage and Integration of an Unsupervised Anomaly Detection Algorithm in an IoT Water Quality Monitoring System

High cost, long-range communication, and anomaly detection issues are associated with IoT systems in water quality monitoring. Therefore, this work proposes a prototype for a water quality monitoring system (IoT-WQMS) based on IoT technologies, which include in the system architecture a LoRa repeate...

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Bibliographic Details
Main Authors: Armando Daniel Blanco Jáquez, María T. Alarcon Herrera, Ana Elizabeth Marín Celestino, Efraín Neri Ramírez, Diego Armando Martínez Cruz
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
LoRa
anomaly detection
water quality
IoT
real-time monitoring
Online Access:https://www.mdpi.com/2073-4441/15/7/1351

Internet

https://www.mdpi.com/2073-4441/15/7/1351

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