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. 2020 Jul 9;17(14):4942.
doi: 10.3390/ijerph17144942.

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

Jagriti Saini  1 , Maitreyee Dutta  1 , Gonçalo Marques  2
Affiliations

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

Jagriti Saini et al. Int J Environ Res Public Health. .

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, CO2, 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.

Keywords: Internet of Things; indoor air quality; monitoring systems; public health.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
General architecture of Internet of Things (IoT)-based IAQ monitoring systems.
Figure 2
Figure 2
Distribution of studies obtained from four databases after the initial search query.
Figure 3
Figure 3
PRISMA flow diagram for systematic review.
Figure 4
Figure 4
Distribution of studies from different locations of the world.
Figure 5
Figure 5
Functionality details of included studies.
See this image and copyright information in PMC

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