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Title	Iot Based Smart Environment Monitoring Systems: A Key To Smart And Clean Urban Living Spaces
ID_Doc	33700
Authors	Nandanwar H.; Chauhan A.
Year	2021
Published	2021 Asian Conference on Innovation in Technology, ASIANCON 2021
DOI	http://dx.doi.org/10.1109/ASIANCON51346.2021.9544596
Abstract	As increase in the environmental pollution for the sustainable and rapid growth of the world, air and sound pollution is major threat to the developing nations for the clean and healthy environment. Air pollution can't be ignored as one of the environmental problems. The pollutants cause damage to human health for a long time. Traditional methods to monitor air quality, such as the construction of air quality monitoring stations, are usually costly. This project can be used for realtime air quality monitoring. Monitoring of air quality is famous and well-established science started in the 1980s. The technique was then quite limited and the solution was used to measure the complex and high-cost air pollution. Interestingly, the solutions used to monitor air quality are now not only becoming more accurate but also being measured faster with the latest and more modern technologies. Devices are getting smaller and more cost-effective than ever. The device presented uses one of the cheapest dust sensors from the young 'DSM501A' Sam. This sensor can detect particles such as PM2.5 and PM10. This article proposes a system for air pollution control and sound monitoring and analyses it. To control pollution, the system is fully based on the internet of things (IoT) and highly desirable. This framework allows us to detect pollution levels (air or sound) occasionally. The article explores the different units such as hardware and software used in the system proposed, and also explains how IOT and its operations and its Microcontroller(Arduino Uno R3) and its architecture, gas sensor, and features are modeling and working with the basic components used in the proposed system. The ESP8266 Wi-Fi Model and the sound sensors. © 2021 IEEE.
Author Keywords	air and sound pollution; clean and green environment; IOT; sensors; smart City

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