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Original Article

Environmental Monitoring System Using Iot with Arduino UNO, ESP8266, And Node MCU

Nagilla Laxmaiah1 B Bhagavathi Rao2 Kurva Thirumalesh3 Chettipally Venu4 Nenavath Tharun5

1 3 Department of CSE, Scient Institute of Technology, Hyderabad, Telangana, India. 2 4 5 Department of ECE, Scient Institute of Technology, Hyderabad, Telangana, India.

Published Online: May-August 2024

Pages: 18-21

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Abstract

This scholarly article elaborates on the creation and execution of a novel environmental monitoring system that exploits the Internet of Things (IoT) framework. The setup combines an Arduino UNO microcontroller, ESP8266 Wi-Fi module, and Node MCU development board to supervise essential environmental variables like temperature, humidity, and gas concentrations. For temperature and humidity measurements, the DHT11 sensor is utilized, while the MQ-2 sensor is employed to identify various gases such as CO2. The information captured by these sensors is exhibited on an LCD display and can be accessed through a mobile application connected to the IoT network. By utilizing Embedded C language and Arduino IDE, the system's deployment enables efficient data management and instantaneous communication. The study underscores the potential utility of this system in industrial environments, particularly in scenarios where continuous environmental monitoring is imperative to ensure adherence to safety and health regulations.

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References

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  • 8. Gupta, R. (2019). Environmental Monitoring using IoT and Cloud Computing. Journal of Cloud Computing, 1(1), 1-20.

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  • 10. Kumar, A. (2020). Real-time Environmental Monitoring using IoT and Big Data. Journal of Big Data, 1(1), 1-25.

Citations

Nagilla Laxmaiah, B Bhagavathi Rao, Kurva Thirumalesh, Chettipally Venu, Nenavath Tharun, “Environmental Monitoring System Using Iot with Arduino UNO, ESP8266, And Node MCU”, Indian Journal of Electronics and Communication Engineering, Volume 01, Issue 02, May-August 2024, PP: 18-21

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Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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