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Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities

Author

Listed:
  • Gonçalo Marques

    (Instituto de Telecomunicações, Universidade da Beira Interior, 6201-001 Covilhã, Portugal)

  • Jagriti Saini

    (National Institute of Technical Teachers Training & Research, Chandigarh 160019, India)

  • Maitreyee Dutta

    (National Institute of Technical Teachers Training & Research, Chandigarh 160019, India)

  • Pradeep Kumar Singh

    (Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan 173234, India)

  • Wei-Chiang Hong

    (Department of Information Management, Oriental Institute of Technology, New Taipei 224, Taiwan)

Abstract

Smart cities follow different strategies to face public health challenges associated with socio-economic objectives. Buildings play a crucial role in smart cities and are closely related to people’s health. Moreover, they are equally essential to meet sustainable objectives. People spend most of their time indoors. Therefore, indoor air quality has a critical impact on health and well-being. With the increasing population of elders, ambient-assisted living systems are required to promote occupational health and well-being. Furthermore, living environments must incorporate monitoring systems to detect unfavorable indoor quality scenarios in useful time. This paper reviews the current state of the art on indoor air quality monitoring systems based on Internet of Things and wireless sensor networks in the last five years (2014–2019). This document focuses on the architecture, microcontrollers, connectivity, and sensors used by these systems. The main contribution is to synthesize the existing body of knowledge and identify common threads and gaps that open up new significant and challenging future research directions. The results show that 57% of the indoor air quality monitoring systems are based on Arduino, 53% of the systems use Internet of Things, and WSN architectures represent 33%. The CO 2 and PM monitoring sensors are the most monitored parameters in the analyzed literature, corresponding to 67% and 29%, respectively.

Suggested Citation

  • Gonçalo Marques & Jagriti Saini & Maitreyee Dutta & Pradeep Kumar Singh & Wei-Chiang Hong, 2020. "Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4024-:d:358098
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    References listed on IDEAS

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    Cited by:

    1. Ridha Ouni & Kashif Saleem, 2022. "Framework for Sustainable Wireless Sensor Network Based Environmental Monitoring," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    2. Muhammad Khan & Numan Khan & Miroslaw J. Skibniewski & Chansik Park, 2021. "Environmental Particulate Matter (PM) Exposure Assessment of Construction Activities Using Low-Cost PM Sensor and Latin Hypercubic Technique," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    3. Rohit Sharma & Raghvendra Kumar & Pradeep Kumar Singh & Maria Simona Raboaca & Raluca-Andreea Felseghi, 2020. "A Systematic Study on the Analysis of the Emission of CO, CO 2 and HC for Four-Wheelers and Its Impact on the Sustainable Ecosystem," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    4. 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.
    5. 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.

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