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Low-Cost Sensors for Ambient Air Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 20 May 2026 | Viewed by 959

Special Issue Editors


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Guest Editor
School of Computing, Electronics and Maths, Coventry University, Coventry CV1 2TU, UK
Interests: indoor air monitoring; sensor networks; low cost sensors; smart ventilation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Mechanical and Construction Engineering, Northumbria University, Newcastle NE1 8ST, UK
Interests: sensors; WSN; indoor air quality
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As air pollution continues to pose serious environmental and health challenges worldwide, the demand for cost-effective and accessible monitoring solutions has grown. Low-cost sensors for ambient air monitoring offer a promising alternative to expensive reference-grade instruments. These sensors provide real-time data on pollutants such as particulate matter (PM), nitrogen dioxide (NO₂), and ozone (O₃), enabling widespread monitoring in both urban and rural settings. Advances in sensor technology, wireless communication, and data analytics have improved the accuracy and reliability of these devices. However, challenges remain, including sensor calibration, data quality assurance, and environmental factors affecting performance. This special issue aims to explore the latest innovations in low-cost air quality sensors, including their design, deployment strategies, and applications in air pollution studies. Researchers and practitioners are invited to contribute studies on sensor validation, machine learning-based calibration techniques, and community-driven monitoring networks. By addressing key limitations and leveraging advancements in artificial intelligence and IoT, low-cost sensors can play a crucial role in shaping future air quality policies and public health interventions.

Dr. Naveed Salman
Dr. Muhammad Waqas Khan
Guest Editors

Manuscript Submission Information

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Keywords

  • low-cost sensors
  • air pollution monitoring
  • sensor calibration
  • IoT and air quality data analytics

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Published Papers (1 paper)

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Review

31 pages, 1355 KB  
Review
Low-Cost Sensor Systems and IoT Technologies for Indoor Air Quality Monitoring: Instrumentation, Models, Implementation, and Perspectives for Validation
by Sérgio Ivan Lopes, Cezary Orłowski, Pedro T. B. S. Branco, Kostas Karatzas, Guillermo Villena, John Saffell, Gonçalo Marques, Sofia I. V. Sousa, Fabian Lenartz, Benjamin Bergmans, Alessandro Bigi, Tamás Pflanzner and Mila Ródenas García
Sensors 2025, 25(24), 7567; https://doi.org/10.3390/s25247567 - 12 Dec 2025
Viewed by 552
Abstract
In recent decades, significant efforts have been devoted to constructing energy-efficient buildings, providing comfortable indoor environments. However, measures such as enhanced airtightness, while reducing infiltration through the building envelope, might consequently reduce natural ventilation. This reduction is a critical concern because natural ventilation [...] Read more.
In recent decades, significant efforts have been devoted to constructing energy-efficient buildings, providing comfortable indoor environments. However, measures such as enhanced airtightness, while reducing infiltration through the building envelope, might consequently reduce natural ventilation. This reduction is a critical concern because natural ventilation is an essential factor in controlling indoor air quality (IAQ), and its diminution could therefore worsen IAQ. Sick building syndrome has emerged as a term used to describe health hazards linked to the time spent indoors but with no particular cause. Since people spend most of their time indoors, the demand for continuous and real-time IAQ management to reduce human exposure to pollutants has increased considerably. In this context, low-cost sensors (LCS) for IAQ monitoring have become popular, driven by recent technological advancements and increased awareness regarding indoor air pollution and its negative health impacts. Although LCS do not meet the performance requirements of reference and regulatory equipment, they provide informative measurements, offering high-resolution monitoring, emission source identification, exposure mitigation, real-time IAQ assessment, and energy efficiency management. This perspective article proposes a general model for LCS systems (and subsystems) implementation and presents a prospective analysis of their strengths and limitations for IAQ management, reviews the literature regarding sensor system technologies, and offers design recommendations. It provides valuable insights for researchers and practitioners in the field of IAQ and discusses future trends. Full article
(This article belongs to the Special Issue Low-Cost Sensors for Ambient Air Monitoring)
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