Sensor Networks for Real-Time Air Quality Monitoring in Smart Cities
This requires ubiquitous sensor networks to monitor and instantaneously predict dangerous gas concentrations at ground level deployed within smart city environments. A sensor network is a collection of many distributed sensors that can be used together to gather data in real-time and from standard logs across an environment, generally allowing users to see, hear, or feel whether emissions are entering their air as they happen. Cities attaching these sensor networks can provide real-time air quality data for municipalities and citizens taking control of our health. It can analyze pollution hotspots, detect trends and patterns over time, and act as an early warning system for dangers. Such work creates a framework for interventions to be undertaken quickly and efficiently to reduce air pollution as soon as possible and work towards protecting residents' public health. Sensor networks can also provide historical data, which is necessary for tracking long-term trends and assessing how effective pollution control measures have been. Furthermore, this information can validate city-specific policies and exercise recommendations for reducing air pollution in smart cities. It will give decision-makers and citizens the data they must act on while making well-informed decisions for cleaner air in their cities.
Authors
- Biljana S. Pejić (ORCID: https://orcid.org/0009-0003-5282-4351)
- Katharine Vincent (ORCID: https://orcid.org/0000-0003-3152-1522)
- Pratik Dutta (ORCID: https://orcid.org/0000-0002-0742-9016)
- Prateek Aggarwal
- Ashu Katyal (ORCID: https://orcid.org/0009-0005-7377-6891)
- Neeraj Das
Institutions
- Jain University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Sathyabama Institute of Science and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957338
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00