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Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Author

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  • Jagriti Saini

    (National Institute of Technical Teacher’s Training and Research, Chandigarh 160019, India)

  • Maitreyee Dutta

    (National Institute of Technical Teacher’s Training and Research, Chandigarh 160019, India)

  • Gonçalo Marques

    (Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal)

Abstract

Indoor air quality has been a matter of concern for the international scientific community. Public health experts, environmental governances, and industry experts are working to improve the overall health, comfort, and well-being of building occupants. Repeated exposure to pollutants in indoor environments is reported as one of the potential causes of several chronic health problems such as lung cancer, cardiovascular disease, and respiratory infections. Moreover, smart cities projects are promoting the use of real-time monitoring systems to detect unfavorable scenarios for enhanced living environments. The main objective of this work is to present a systematic review of the current state of the art on indoor air quality monitoring systems based on the Internet of Things. The document highlights design aspects for monitoring systems, including sensor types, microcontrollers, architecture, and connectivity along with implementation issues of the studies published in the previous five years (2015–2020). The main contribution of this paper is to present the synthesis of existing research, knowledge gaps, associated challenges, and future recommendations. The results show that 70%, 65%, and 27.5% of studies focused on monitoring thermal comfort parameters, CO 2 , and PM levels, respectively. Additionally, there are 37.5% and 35% of systems based on Arduino and Raspberry Pi controllers. Only 22.5% of studies followed the calibration approach before system implementation, and 72.5% of systems claim energy efficiency.

Suggested Citation

  • Jagriti Saini & Maitreyee Dutta & Gonçalo Marques, 2020. "Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review," IJERPH, MDPI, vol. 17(14), pages 1-22, July.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:4942-:d:382194
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    References listed on IDEAS

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    5. Hugo O. Garcés & Claudia Durán & Eduardo Espinosa & Alejandro Jerez & Fredi Palominos & Marcela Hinojosa & Raúl Carrasco, 2022. "Monitoring of Thermal Comfort and Air Quality for Sustainable Energy Management inside Hospitals Based on Online Analytical Processing and the Internet of Things," IJERPH, MDPI, vol. 19(19), pages 1-23, September.
    6. Simon Li, 2023. "Review of Engineering Controls for Indoor Air Quality: A Systems Design Perspective," Sustainability, MDPI, vol. 15(19), pages 1-46, September.
    7. Satheesh Abimannan & El-Sayed M. El-Alfy & Shahid Hussain & Yue-Shan Chang & Saurabh Shukla & Dhivyadharsini Satheesh & John G. Breslin, 2023. "Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment," Sustainability, MDPI, vol. 15(18), pages 1-34, September.
    8. Shih-Chun Candice Lung & To Thi Hien & Maria Obiminda L. Cambaliza & Ohnmar May Tin Hlaing & Nguyen Thi Kim Oanh & Mohd Talib Latif & Puji Lestari & Abdus Salam & Shih-Yu Lee & Wen-Cheng Vincent Wang , 2022. "Research Priorities of Applying Low-Cost PM 2.5 Sensors in Southeast Asian Countries," IJERPH, MDPI, vol. 19(3), pages 1-37, January.
    9. C. Bambang Dwi Kuncoro & Moch Bilal Zaenal Asyikin & Aurelia Amaris, 2022. "Smart-Autonomous Wireless Volatile Organic Compounds Sensor Node for Indoor Air Quality Monitoring Application," IJERPH, MDPI, vol. 19(4), pages 1-15, February.
    10. Heangwoo Lee, 2020. "A Basic Study on the Performance Evaluation of a Movable Light Shelf with a Rolling Reflector That Can Change Reflectivity to Improve the Visual Environment," IJERPH, MDPI, vol. 17(22), pages 1-19, November.

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