Air Quality Analysis System for Indoor Environment and Automation using IoT

N. Madhu Sudhan*, Udigala Basavaraju Mahadevaswamy **
* PG Student, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.
** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.
Periodicity:July - December'2017


Now-a-days indoor air quality has been a vital concern, due to increased global warming, extensive usage of fossil fuels, rapid growth of transportation, and urbanization. Adequate and clean indoor air quality is essential for good health and comfort of individuals, especially considering that people who spends most of their time indoor. Due to lack of proper awareness, many people suffer from respiratory disorders like asthma, dust allergies, etc., because of prolonged exposure to the polluted environment. Hence, a real time monitoring and analysis of indoor air quality in the atmosphere has been the interest of recent topic. This paper deals with design and implementation of an Internet of Things (IoT) based system useful for monitoring levels of vital indoor atmospheric parameters like gaseous pollutants, particulate matter, temperature, and humidity using various sensors interfaced to microcontroller for analysis and processing for automation, display outputs on LCD, and communicates via Wi-Fi module using CoAP. The controller programming is done on embedded C language based on RTOS concept, resource sharing, and reduced time complexity with enhanced features. Monitoring and control mobile App is developed in Java language. Experiments were conducted to validate and support the development of the system for real-time monitoring and automation.


Indoor Air Quality, RTOS, Real Time Monitoring, Integrated Sensor System, CoAP, LCD, Wi-Fi Module, Microcontroller, Automation, IoT, Mobile App

How to Cite this Article?

Sudhan, N., and Mahadevaswamy, U. B.(2017). Air Quality Analysis System for Indoor Environment And Automation Using IoT. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 22-31.


[1]. Ali, H., Soe, J. K., & Weller, S. R. (2015, October). A real-time ambient air quality monitoring wireless sensor network for schools in smart cities. In Smart Cities Conference (ISC2), 2015 IEEE First International (pp. 1-6). IEEE.
[2]. Brook, R. D., Franklin, B., Cascio, W., Hong, Y., Howard, G. et al. (2004). Air pollution and cardiovascular disease. Circulation, 109(21), 2655-2671.
[3]. du Plessis, R., Kumar, A., Hancke, G. P., & Silva, B. J. (2016, October). A wireless system for indoor air quality monitoring. In Industrial Electronics Society, IECON 2016- 42nd Annual Conference of the IEEE (pp. 5409-5414). IEEE.
[4]. Jangid, S. & Sharma, S. (2016, March). An embedded system model for air quality monitoring. In Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on (pp. 3003-3008). IEEE.
[5]. Kim, J. Y., Chu, C. H., & Shin, S. M. (2014). ISSAQ: An integrated sensing systems for real-time indoor air quality monitoring. IEEE Sensors Journal, 14(12), 4230-4244.
[6]. Lohani, D. & Acharya, D. (2016, June). Smartvent: A context aware iot system to measure indoor air quality and ventilation rate. In Mobile Data Management (MDM), 2016 17th IEEE International Conference on (Vol. 2, pp. 64- 69). IEEE.
[7]. Nakata, M. (2014, July). Air quality monitoring in Mega city. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 4135-4138). IEEE.
[8]. New Technologies Make Cities Clean Air Efforts Responsive. Retrieved from New-Technologies-Make-Cities-Clean-Air-Efforts-More- Responsive.html
[9]. Saad, S. M., Saad, A. R. M., Kamarudin, A. M. Y., Zakaria, A., & Shakaff, A. Y. M. (2013). Indoor air quality monitoring system using wireless sensor network (WSN) with web interface. In 2013 International Conference on Electrical, Electronics and System Engineering (ICEESE).
[10]. Suryawanshi, S. U., Dhang, D. I., Chougule, A. A., Mote, S. B. Implementation of Embedded Wireless Air Pollution Monitoring System. IOSR Journal of Electronics and Communication Engineering (IOSR-JMCE), 27-30.
[11]. UNEP Year Book. (2014). Air Pollution: World's Worst Environmental Health Risk Retrieved from
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.