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.
Authors
- Gianluca Gatto (ORCID: https://orcid.org/0000-0003-0615-4177)
- Amit Kumar (ORCID: https://orcid.org/0000-0002-2547-0071)
- S. Angalaeswari
- Rosaria Medda (ORCID: https://orcid.org/0000-0002-8563-8235)
- Arnas Majumder (ORCID: https://orcid.org/0009-0007-6281-1625)
- P Santhosh
Institutions
- University of Cagliari (IT)
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1109/scse65633.2025.11031071
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00