Crowdsensing IoT Architecture for Pervasive Air Quality and Exposome Monitoring: Design, Development, Calibration, and Long-Term Validation

Crowdsensing IoT Architecture for Pervasive Air Quality and Exposome Monitoring: Design, Development, Calibration, and Long-Term Validation

A pervasive assessment of air quality in an urban or mobile scenario is paramount for personal or city-wide exposure reduction action design and implementation. The capability to deploy a high-resolution hybrid network of regulatory grade and low-cost fixed and mobile devices is a primary enabler fo...

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Bibliographic Details
Main Authors: Saverio De Vito, Elena Esposito, Ettore Massera, Fabrizio Formisano, Grazia Fattoruso, Sergio Ferlito, Antonio Del Giudice, Gerardo D’Elia, Maria Salvato, Tiziana Polichetti, Paolo D’Auria, Adrian M. Ionescu, Girolamo Di Francia
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
IoT AQ nodes
sensor network
calibration
air quality monitoring
machine learning
Online Access:https://www.mdpi.com/1424-8220/21/15/5219

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https://www.mdpi.com/1424-8220/21/15/5219

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