IoT enabled Innovative Mobility-Centric Sensor Networks for Real-Time Environmental Monitoring

The rapid growth of urbanization and escalating environmental challenges have highlighted the critical need for advanced-monitoring systems. The integration of sensor technologies into environmental-monitoring systems and mobility platforms is transforming urban sustainability efforts. This study presents an approach to environmental-monitoring, utilizing low-cost, high-precision sensor-networks integrated with mobility systems. Recent advancements in sensor miniaturization and wireless communication protocols, particularly Bluetooth-mesh networks, enable real-time acquisition, transmission, and analysis of critical parameters such as air-quality, temperature, humidity, atmospheric toxicity, and crowd dynamics. This study evaluates global initiatives employing innovative sensor-based mobility solutions for environmental data collection, including e-scooters and public transport. Case studies from various cities demonstrate the feasibility and cost-effectiveness of mobile and fixed sensor deployments in urban and peri-urban contexts. Proposed methodology incorporates an onboard sensor-module for e-scooters, featuring ultra-low-power sensors and communication systems, ensuring continuous data-acquisition and seamless integration into smart city infrastructures. Preliminary laboratory tests validate the efficacy of a prototype for temperature and humidity monitoring, highlighting its robustness and scalability. Results from this setup demonstrate the potential of mobility-driven environmental-monitoring systems to enhance urban sustainability, data-driven policymaking, and empower citizen engagement. Future work aims to expand sensor arrays and optimize data analytics for fostering the realization of resilient and adaptive urban ecosystems.

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Publication Details

Published
2025-04-03
DOI
https://doi.org/10.1109/scse65633.2025.11031071
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

IoT enabled Innovative Mobility-Centric Sensor Networks for Real-Time Environmental Monitoring

Gianluca Gatto, Amit Kumar, S. Angalaeswari, Rosaria Medda et al.
1 links
Air Quality Monitoring and Forecasting
article

IoT enabled Innovative Mobility-Centric Sensor Networks for Real-Time Environmental Monitoring

Gianluca Gatto, Amit Kumar, S. Angalaeswari, Rosaria Medda, Arnas Majumder, P Santhosh
article en

Abstract

The rapid growth of urbanization and escalating environmental challenges have highlighted the critical need for advanced-monitoring systems. The integration of sensor technologies into environmental-monitoring systems and mobility platforms is transforming urban sustainability efforts. This study presents an approach to environmental-monitoring, utilizing low-cost, high-precision sensor-networks integrated with mobility systems. Recent advancements in sensor miniaturization and wireless communication protocols, particularly Bluetooth-mesh networks, enable real-time acquisition, transmission, and analysis of critical parameters such as air-quality, temperature, humidity, atmospheric toxicity, and crowd dynamics. This study evaluates global initiatives employing innovative sensor-based mobility solutions for environmental data collection, including e-scooters and public transport. Case studies from various cities demonstrate the feasibility and cost-effectiveness of mobile and fixed sensor deployments in urban and peri-urban contexts. Proposed methodology incorporates an onboard sensor-module for e-scooters, featuring ultra-low-power sensors and communication systems, ensuring continuous data-acquisition and seamless integration into smart city infrastructures. Preliminary laboratory tests validate the efficacy of a prototype for temperature and humidity monitoring, highlighting its robustness and scalability. Results from this setup demonstrate the potential of mobility-driven environmental-monitoring systems to enhance urban sustainability, data-driven policymaking, and empower citizen engagement. Future work aims to expand sensor arrays and optimize data analytics for fostering the realization of resilient and adaptive urban ecosystems.

University of Cagliari (IT), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 88%
Air Quality Monitoring and Forecasting
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