Smart City Gnosys

Smart city article details

Title	Real-Time Air Quality Monitoring Model Using Fuzzy Inference System
ID_Doc	44297
Authors	Saleem M.; Shingari N.; Farooq M.S.; Mago B.; Khan M.A.
Year	2024
Published	International Journal of Advanced Computer Science and Applications, 15, 6
DOI	http://dx.doi.org/10.14569/IJACSA.2024.0150684
Abstract	Air pollution, which is both environmental and social, is a serious issue that affects people’s health as well as ecosystems and the environment. Air pollution currently poses a number of health problems to the ecosystem. The most important factor that has a direct impact on disease occurrence and decreases people’s quality of life is city and metropolitan air quality. It is critical to establish real-time air quality monitoring in order to make timely decisions based on measurements and evaluations of environmental factors. Monitoring systems are influential in multiple smart city initiatives for keeping an eye on air quality and reducing pollutant concentrations in metropolitan areas. The Internet of Things (IoT) is becoming increasingly important in a variety of sectors, including air quality monitoring. In this research work, a real-time air quality monitoring model employing fuzzy inference is proposed for monitoring air pollution using multiple parameters such as Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Ozone (O3) and Suspended Particulates (PM10). This proposed research presents a novel technique for improving air quality monitoring. This proposed fuzzy inference system also provides better results in terms of monitoring air quality in a more efficient and effective way. © (2024), (Science and Information Organization). All rights reserved.
Author Keywords	air quality monitoring; fuzzy inference system; IoT; smart city

Similar Articles

Id	Similarity	Authors	Title	Published
8521	0.902	Zareb M.; Bakhti B.; Bouzid Y.; Batista C.E.; Ternifi I.; Abdenour M.	An Intelligent Iot Fuzzy Based Approach For Automated Indoor Air Quality Monitoring	2021 29th Mediterranean Conference on Control and Automation, MED 2021 (2021)
31860	0.897	Samal A.; Samal L.; Swain A.K.; Mahapatra K.	Integrated Iot-Based Air Quality Monitoring And Prediction System: A Hybrid Approach	Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023 (2023)
19399	0.892	El Arfaoui A.; Nhaila H.; El Khaili M.	Developing A Real-Time Atmospheric Pollutant Monitoring Method With High Accuracy And Wide Measurement Range	2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2025 (2025)
27055	0.889	Varade H.P.; Bhangale S.C.; Thorat S.R.; Khatkale P.B.; Sharma S.K.; William P.	Framework Of Air Pollution Assessment In Smart Cities Using Iot With Machine Learning Approach	Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023 (2023)
7152	0.888	Bhangale S.C.; Varade H.P.; Thorat S.R.; Roy D.K.; William P.; Verma A.	Air Quality Hotspot Monitoring With Trajectories Of Iot In Smart City Implementation	Proceedings - 2023 3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023 (2023)
7124	0.886	Sushma S.; Tejaswini V.; Lakshmanarao A.; Mouli D.C.; Raja Rao P.B.V.	Air And Water Quality Surveillance Model For Real-Time Environmental Monitoring Based On Iot Approach	Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024 (2024)
44296	0.884	Aserkar A.A.; Godla S.R.; Baker El-Ebiary Y.A.; Krishnamoorthy; Ramesh J.V.N.	Real-Time Air Quality Monitoring In Smart Cities Using Iot-Enabled Advanced Optical Sensors	International Journal of Advanced Computer Science and Applications, 15, 4 (2024)
6972	0.883	Kataria A.; Puri V.	Ai- And Iot-Based Hybrid Model For Air Quality Prediction In A Smart City With Network Assistance	IET Networks, 11, 6 (2022)
39228	0.882	Kumari S.; Choudhury A.; Karki P.; Simon M.; Chowdhry J.; Nandra A.; Sharma P.; Sengupta A.; Yadav A.; Raju M.P.; Gupta J.; Garg M.C.	Next-Generation Air Quality Management: Unveiling Advanced Techniques For Monitoring And Controlling Pollution	Aerosol Science and Engineering (2025)
33700	0.879	Nandanwar H.; Chauhan A.	Iot Based Smart Environment Monitoring Systems: A Key To Smart And Clean Urban Living Spaces	2021 Asian Conference on Innovation in Technology, ASIANCON 2021 (2021)