Smart City Gnosys

Smart city article details

Title	Real-Time Air Quality Predictions For Smart Cities Using Tinyml
ID_Doc	44298
Authors	Datta A.; Pal A.; Marandi R.; Chattaraj N.; Nandi S.; Saha S.
Year	2024
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3631461.3631947
Abstract	This paper explores the feasibility of using Tiny Machine Learning (TinyML) to develop a compact system for inferring environmental pollution levels at a device's location. Leveraging the correlation between the Air Quality Index (AQI), the localised temperature and humidity, and various other meteorological and temporal factors, we propose a first-of-its-kind device that tries to embed some intelligence into a mobile air quality sensing device that predicts the local AQI using the local temperature and humidity collected through sensors, and internet-sourced meteorological and temporal information collected through a web crawler. A dust particle sensor has been added to calculate the real AQI, for validating the inference. Our contributions culminate in an efficient C/C++ based XGBoost implementation within a 2MB memory constraint, achieving 75.2% accuracy with a 1615μs latency. © 2024 Owner/Author.
Author Keywords	Latency; Performance; Pollution Monitoring; System Prototype; TinyML

Similar Articles

Id	Similarity	Authors	Title	Published
7158	0.901	Shree A.N.R.; Shankaramma; Reddy C.	Air Quality Management In Smart Cities By Leveraging Machine Learning Techniques	3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024 - Proceedings (2024)
7169	0.9	Iskandaryan D.; Ramos F.; Trilles S.	Air Quality Prediction In Smart Cities Using Machine Learning Technologies Based On Sensor Data: A Review	Applied Sciences (Switzerland), 10, 7 (2020)
15001	0.897	Sharma G.; Khurana S.; Saina N.; Shivansh; Gupta G.	Comparative Analysis Of Machine Learning Techniques In Air Quality Index (Aqi) Prediction In Smart Cities	International Journal of System Assurance Engineering and Management, 15, 7 (2024)
7168	0.895	Niveshitha N.; Amsaad F.; Jhanjhi N.Z.	Air Quality Prediction In Smart Cities Using Cloud Machine Learning	2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023 (2023)
15000	0.892	Ameer, S; Shah, MA; Khan, A; Song, HB; Maple, C; Ul Islam, S; Asghar, MN	Comparative Analysis Of Machine Learning Techniques For Predicting Air Quality In Smart Cities	IEEE ACCESS, 7 (2019)
6972	0.891	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)
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)
7559	0.887	Samee I.U.; Jilani M.T.; Wahab H.G.A.	An Application Of Iot And Machine Learning To Air Pollution Monitoring In Smart Cities	2019 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019 (2019)
2458	0.883	Swamynathan S.; Sneha N.; Ramesh S.P.; Niranjana R.; Ponkumar D.D.N.; Saravanakumar R.	A Machine Learning Approach For Predicting Air Quality Index In Smart Cities	Proceedings of 5th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024 (2024)
29876	0.883	Bachechi C.; Rollo F.; Po L.	Hypeair: A Novel Framework For Real-Time Low-Cost Sensor Calibration For Air Quality Monitoring In Smart Cities	Ecological Informatics, 81 (2024)