From Observation to Action: A Novel IoT Architecture for Climate Data Integrity

In the ever-evolving field of climate data management, the pressing need for accurate, real-time data to mitigate the effects of severe weather phenomena has never been more critical. This study presents the development of an advanced Internet-of-Things (IoT) sensor architecture aimed at enhancing climate data management; a real-life industrial scenario in the Dominican Republic was targeted, specifically, a region frequently impacted by severe atmospheric phenomena. Specifically, our solution integrates (a) machine learning for data validation and (b) blockchain-oriented computing for ensuring data integrity; the resulting system is designed to provide reliable, real-time climate data crucial for disaster risk reduction, emergency planning, and climate change policies. Our field evaluation suggests that the potential to transform climate data management practices in our scenario is significant, offering a model that could be replicated in similar contexts globally.

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Publication Details

Journal
IEEE Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/mis.2025.3615299
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

From Observation to Action: A Novel IoT Architecture for Climate Data Integrity

Damian A. Tamburri, Fabiano Izzo, Stefano Radocchia
IEEE Intelligent Systems
Air Quality Monitoring and Forecasting
article

From Observation to Action: A Novel IoT Architecture for Climate Data Integrity

Damian A. Tamburri, Fabiano Izzo, Stefano Radocchia
article en

Abstract

In the ever-evolving field of climate data management, the pressing need for accurate, real-time data to mitigate the effects of severe weather phenomena has never been more critical. This study presents the development of an advanced Internet-of-Things (IoT) sensor architecture aimed at enhancing climate data management; a real-life industrial scenario in the Dominican Republic was targeted, specifically, a region frequently impacted by severe atmospheric phenomena. Specifically, our solution integrates (a) machine learning for data validation and (b) blockchain-oriented computing for ensuring data integrity; the resulting system is designed to provide reliable, real-time climate data crucial for disaster risk reduction, emergency planning, and climate change policies. Our field evaluation suggests that the potential to transform climate data management practices in our scenario is significant, offering a model that could be replicated in similar contexts globally.

IEEE Intelligent Systems
Smartex (Italy) (IT), Azienda USL di Pescara (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 75%
Air Quality Monitoring and Forecasting
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From Observation to Action: A Novel IoT Architecture for Climate Data Integrity — Damian A. Tamburri, Fabiano Izzo, et al. · IEEE Intelligent Systems (2025) | TGRS Research Map | TGRS