JOURNAL ARTICLE

Low-cost IoT-enabled indoor air quality monitoring systems: A systematic review.

  • Published In: Journal of Ambient Intelligence & Smart Environments, 2024, v. 16, n. 2. P. 167 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Peixe, João; Marques, Gonçalo 3 of 3

Abstract

This article systematically reviews low-cost Internet of Things (IoT)-based indoor air quality (IAQ) monitoring systems developed between 2018 and 2021, focusing on their architectures, sensors, communication technologies, data storage, and visualization methods. The review finds that most systems monitor carbon dioxide (CO2), particulate matter, temperature, and humidity, with Wi-Fi being the predominant communication technology. Common challenges identified include sensor calibration and energy consumption, which affect measurement accuracy and device usability. While these monitoring systems do not directly improve IAQ, they provide real-time data that can inform interventions to enhance indoor environments and occupant health. The study highlights the need for future research on improving sensor accuracy and effective user guidance for IAQ improvement.

Additional Information

  • Source:Journal of Ambient Intelligence & Smart Environments. 2024/06, Vol. 16, Issue 2, p167
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2024
  • ISSN:18761364
  • DOI:10.3233/AIS-220577
  • Accession Number:178180741
  • Copyright Statement:Copyright of Journal of Ambient Intelligence & Smart Environments is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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