Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics

Abstract
This paper introduces a real-time air quality monitoring system based on the Internet of Things (IoT) integrated with advanced data analytics. The system uses low-cost sensors to gather data on air pollutants, which are then processed using cloud computing and visualized through a web application. Field tests conducted in urban and suburban areas demonstrate the system’s effectiveness in providing accurate, real-time air quality information, enabling timely responses to pollution events.
 
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How to Cite

Ahmed Boukhalfa, et al. (2024). Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics. International Journal of Science and Mathematics Education, 1(2). https://doi.org/10.62951/ijsme.v1i2.55

Ahmed Boukhalfa; Mohammed Benslimane; Lynda Ghemri, "Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics," International Journal of Science and Mathematics Education, vol. 1, no. 2, 2024.

Ahmed Boukhalfa; Mohammed Benslimane; Lynda Ghemri. "Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics." International Journal of Science and Mathematics Education, vol. 1, no. 2, 2024.

Ahmed Boukhalfa; Mohammed Benslimane; Lynda Ghemri. "Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics." International Journal of Science and Mathematics Education 1, no. 2 (2024).

Ahmed Boukhalfa, et al. (2024) 'Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics', International Journal of Science and Mathematics Education, 1(2). doi: 10.62951/ijsme.v1i2.55.

Ahmed Boukhalfa; Mohammed Benslimane; Lynda Ghemri. Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics. International Journal of Science and Mathematics Education. 2024;1(2).

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