Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3635059.3635078acmotherconferencesArticle/Chapter ViewAbstractPublication PagespciConference Proceedingsconference-collections
research-article

Mobile Network of Air Quality Monitoring Sensors

Published: 14 February 2024 Publication History

Abstract

This paper presents the development of a network of mobile sensors for the real-time monitoring of the atmospheric air in order to calculate the Air Quality Index (AQI). As a proof of concept, a prototype of the sensor, a web application and a mobile application were implemented in order to manage the mobile sensors and process/view the data collected by them. The sensor, which can be installed in vehicles, collects and transmits environmental measurements wirelessly to a web application using proper APIs. These measurements are stored in a database and based on them, the Air Quality Index (AQI) is calculated. Following a publish-subscribe model, real-time data are forwarded to authorized users for monitoring purposes in the form of charts and tables. Historical data are used for analysis and study of the air quality over time and also used as an input to the Random Forest predictive algorithm implemented to predict air quality in locations without availability of real-time measurements. Monitoring air quality through mobile sensors constitutes a valuable tool towards the study of air pollution in large areas overcoming the limitations of fixed sensors. Furthermore, the immediate notifications of high-precision AQIs help people with respiratory problems to take timely protection measures.

References

[1]
Gorai, A.K., Tuluri, F., Tchounwou, P.B. 2014. A GIS Based Approach for Assessing the Association between Air Pollution and Asthma in New York State, USA. International Journal Environmental Research and Public Health 11(5), 4845-4869
[2]
Sicard, P., Lesne, O., Alexandre, N., Mangin, A., Collomp, R. 2011. Air quality trends and potential health effects - Development of an aggregate risk index., Atmospheric Environment 45, pp. 1145-1153.
[3]
European Environment Agency – Air Pollution: How it affects our health. Retrieved from https://www.eea.europa.eu/themes/air/health-impacts-of-air-pollution.
[4]
World Health Organization – Air Pollution (Overview, Impact, Responsible). Retrieved from https://www.who.int/health-topics/air-pollution.
[5]
Sourav Mukherjee. 2019. IoT (Internet of Things) Based Smart Device Network to Monitor and Control Urban Air Pollution, International Journal of Recent Technology and Engineering (IJRTE) ISSN: pp. 2277-3878, Volume-8 Issue-4.
[6]
Swati Dhingra, Rajasekhara Babu Madda, Amir H. Gandomi, Rizwan Patan, Mahmoud Daneshmand. 2019. Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair), IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5577-5584.
[7]
Ubidots – From https://ubidots.com/.
[8]
Kavi Kumar Khedo, Prashant Shenoy, Khadidjah Zeadally, Khemraj Awotar, and Lamesh Ramdani. 2020. A Vehicular Internet of Things (IoT) System for High-Granularity Air Quality Monitoring in Smart Cities, EAI/Springer Innovations in Communication and Computing.
[9]
Thingspeak – Retrieved from https://thingspeak.com/.
[10]
Wikipedia – Air Quality Index. Retrieved from https://en.wikipedia.org/wiki/Air_quality_index.
[11]
EPA United States Environmental Protection Agency. Retrieved from https://www.epa.gov/air-quality.
[12]
Kanchan, Amit Kumar Gorai and Pramila Goyal. 2015. A Review on Air Quality Indexing System, Asian Journal of Atmospheric Environment Vol. 9-2, pp. 101-113.
[13]
Bezuglaya, E.Y., Shchutskaya, A.B., Smirnova, I.V. 1993. Air Pollution Index and Interpretation of Measurements of Toxic Pollutant Concentrations, Atmospheric Environment 27, 773-779.
[14]
Prana Air – What is Air Quality Index (AQI) & How Is It Calculated. Retrieved from https://pranaair.com/blog/what-is-air-quality-index-aqi-and-its-calculation/.
[15]
American Lung Association – Air Quality Index: Using AQI information to protect yourself from outdoor air pollution. Retrieved from https://www.lung.org/clean-air/outdoors/air-quality-index.
[16]
Air Now – Technical Assistance Document for the Reporting of Daily Air Quality. Retrieved from https://www.airnow.gov/sites/default/files/2020-05/aqi-technical-assistance-document-sept2018.pdf.
[17]
Instructables – How to calibrate and use MQ9 gas sensor with Arduino. Retrieved from https://www.instructables.com/How-to-Calibrate-Use-MQ9-Gas-Sensor-W-Arduino/.
[18]
L. Spinelle, M. Gerboles, M. G. Villani, M. Aleixandre, and F. Bonavitacola. 2017. Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2, Sensors Actuators B Chem., vol. 238, pp. 706–715.
[19]
A. A. Reshi, S. Shafi, and A. Kumaravel. 2013. VehNode: Wireless sensor network platform for automobile pollution control, in Proc. IEEE Conf. Inf. Commun. Technol. (ICT), pp. 963–966.
[20]
N. Srinivasa Gupta, Yashvi Mohta,2 Khyati Heda,2 Raahil Armaan,2 B. Valarmathi,2 and G. Arulkumaran. 2023. Prediction of Air Quality Index Using Machine Learning Techniques: A Comparative Analysis, Hindawi Journal of Environmental and Public Health, vol. 2023, Article ID 4916267.
[21]
H. Liu, Q. Li, D. Yu, and Y. Gu. 2019. Air quality index and air pollutant concentration prediction based on machine learning algorithms, Applied Sciences, vol. 9, 4069.
[22]
M. Castelli, F. M. Clemente, A. Popovic, S. Silva, and L. Vanneschi. 2020. A machine learning approach to predict air quality in California, Complexity, vol. 2020, Article ID 8049504.
[23]
Waqi – World AQI live data. Live AQI data platform. Retrieved from https://waqi.info/#/c/38.048/23.935/10.9z.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
PCI '23: Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics
November 2023
304 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 February 2024

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. AQI
  2. Mobile air quality sensor
  3. mobile application
  4. monitoring
  5. notifications
  6. predictions

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

PCI 2023

Acceptance Rates

Overall Acceptance Rate 190 of 390 submissions, 49%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 26
    Total Downloads
  • Downloads (Last 12 months)26
  • Downloads (Last 6 weeks)2
Reflects downloads up to 26 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media