IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4353-d1399124.html
   My bibliography  Save this article

A Systematic Review for Indoor and Outdoor Air Pollution Monitoring Systems Based on Internet of Things

Author

Listed:
  • Osama Alsamrai

    (Department of Physical Chemistry and Applied Thermodynamics, Universidad de Córdoba, Campus de Rabanales, Campus de Excelencia Internacional Agroalimentario ceiA3, 14071 Córdoba, Spain
    Doctoral Program Computación Avanzada, Energía y Plasmas, Universidad de Córdoba, 14071 Córdoba, Spain)

  • Maria Dolores Redel-Macias

    (Department of Rural Engineering, Universidad de Córdoba, Campus de Excelencia Internacional Agroalimentario ceiA3, 14071 Córdoba, Spain)

  • Sara Pinzi

    (Department of Physical Chemistry and Applied Thermodynamics, Universidad de Córdoba, Campus de Rabanales, Campus de Excelencia Internacional Agroalimentario ceiA3, 14071 Córdoba, Spain)

  • M. P. Dorado

    (Department of Physical Chemistry and Applied Thermodynamics, Universidad de Córdoba, Campus de Rabanales, Campus de Excelencia Internacional Agroalimentario ceiA3, 14071 Córdoba, Spain)

Abstract

Global population growth and increasing pollution levels are directly related. The effect does not just apply to outdoor spaces. Likewise, the low indoor air quality is also having a negative impact on the health of the building residents. According to the World Health Organization, indoor air pollution is a leading cause of 1.6 million premature deaths annually. Tackling this public health issue, due to the direct relationship between air pollution levels and mortality and morbidity rates as well as overall comfort, is mandatory. Many companies have begun to build inexpensive sensors for use in Internet of Things (IoT)-based applications to pollution monitoring. The research highlights design aspects for sustainable monitoring systems including sensor types, the selected parameters, range of sensors used, cost, microcontrollers, connectivity, communication technologies, and environments. The main contribution of this systematic paper is the synthesis of existing research, knowledge gaps, associated challenges, and future recommendations. Firstly, the IEEE database had the highest contribution to this research (48.51%). The results showed that 87.1%, 66.3%, and 36.8% of studies focused on harmful gas monitoring, thermal comfort parameters, and particulate matter levels pollution, respectively. The most studied harmful gases were CO 2 , CO, NO 2 , O 3 , SO 2 , SnO 2 , and volatile organic compounds. The cost of the sensors was suitable for people with limited incomes and mostly under USD 5, rising to USD 30 for specific types. Additionally, 40.35% of systems were based on ESP series (ESP8266 and ESP32) microcontrollers, with ESP8266 being preferred in 34 studies. Likewise, IoT cloud and web services were the preferred interfaces (53.28%), while the most frequent communication technology was Wi-Fi (67.37%). Indoor environments (39.60%) were the most studied ones, while the share for outdoor environments reached 20.79% of studies. This is an indication that pollution in closed environments has a direct impact on living quality. As a general conclusion, IoT-based applications may be considered as reliable and cheap alternatives for indoor and outdoor pollution monitoring.

Suggested Citation

  • Osama Alsamrai & Maria Dolores Redel-Macias & Sara Pinzi & M. P. Dorado, 2024. "A Systematic Review for Indoor and Outdoor Air Pollution Monitoring Systems Based on Internet of Things," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4353-:d:1399124
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4353/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4353/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexandro Andrade & Anderson D’Oliveira & Loiane Cristina De Souza & Ana Cecilia Rosatelli de Freitas Bastos & Fábio Hech Dominski & Luca Stabile & Giorgio Buonanno, 2023. "Effects of Air Pollution on the Health of Older Adults during Physical Activities: Mapping Review," IJERPH, MDPI, vol. 20(4), pages 1-41, February.
    2. Gonçalo Marques & Cristina Roque Ferreira & Rui Pitarma, 2018. "A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Faraz Enayati Ahangar & Frank R. Freedman & Akula Venkatram, 2019. "Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
    2. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    3. 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.
    4. Noor S. Baqer & A. S. Albahri & Hussein A. Mohammed & A. A. Zaidan & Rula A. Amjed & Abbas M. Al-Bakry & O. S. Albahri & H. A. Alsattar & Alhamzah Alnoor & A. H. Alamoodi & B. B. Zaidan & R. Q. Malik , 2022. "Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(4), pages 591-613, December.
    5. Rita Ribeiro & Henrique Oliveira & Margarida Goes & Cátia Gonçalves & Ana Dias & César Fonseca, 2023. "The Effectiveness of Nursing Rehabilitation Interventions on Self-Care for Older Adults with Respiratory Disorders: A Systematic Review with Meta-Analysis," IJERPH, MDPI, vol. 20(14), pages 1-20, July.
    6. Hyunsik Kim & Sungho Tae & Pengfei Zheng & Geonuk Kang & Hanseung Lee, 2021. "Development of IoT-Based Particulate Matter Monitoring System for Construction Sites," IJERPH, MDPI, vol. 18(21), pages 1-15, November.
    7. Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
    8. Bożena Łosiewicz, 2024. "Technology for Green Hydrogen Production: Desk Analysis," Energies, MDPI, vol. 17(17), pages 1-41, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4353-:d:1399124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.