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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP0764
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Air pollution has become a serious concern in urban environments, affecting both human health and the environment. Traditional air quality monitoring systems are expensive and not suitable for real-time, location-based monitoring. This project proposes an IoT-based air pollution monitoring system that utilizes a ESP 32 microcontroller integrated with various environmental sensors such as the DHT11 (temperature and humidity), MQ-135 (air quality), CO2 sensor, dust sensor, and sound sensor. These sensors continuously gather data, which is processed by the ESP 32 and displayed on an LCD. The data is also uploaded to a cloud platform via the Internet of Things (IoT) for remote monitoring and analysis. This system offers a low-cost, scalable, and real-time solution for monitoring environmental conditions and enhancing public health awareness.process exhibited more uniform elemental. Air pollution is a critical environmental challenge that poses significant risks to human health and the ecosystem. Traditional methods of monitoring air quality, while effective, are often limited by high costs, lack of real-time data, and inadequate coverage, especially in developing regions. The advent of the Internet of Things (IoT) has paved the way for more efficient, cost-effective, and scalable solutions for air pollution monitoring. IoT-based systems utilize interconnected sensors, microcontrollers, and communication networks to collect and transmit real-time data on various air pollutants, including particulate matter (PM2.5, PM10), carbon monoxide (CO), nitrogen dioxide (NO2), and ozone (O3). This paper explores the potential of IoT in air pollution monitoring, focusing on the technologies involved, system architecture, and the impact of real-time data on public health and policy-making. It also highlights key case studies from smart cities and community-driven initiatives that have successfully implemented IoT- based monitoring systems. Additionally, the paper addresses the cha
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Publication Date
5/26/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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