Development of intelligent waste management system based on IoT sensors and artificial intelligence
Received: 2026-06-04
Published: 2026-06-06
Abstract
This paper presents a smart waste management system based on IoT sensors and artificial intelligence technologies. The system is designed to monitor the fill level of waste containers in real time, transmit data to a central server, and optimize the waste collection process using AI algorithms. The proposed approach improves waste logistics efficiency, reduces transportation costs, and mitigates environmental impacts. The results demonstrate that the system outperforms traditional waste management methods.
Keywords
List of references
-
Zanella, A., Bui, N., Castellani, A., et al. (2019). Internet of Things for Smart Cities. IEEE Internet of Things Journal, 1(1), 22–32.
-
Al-Fuqaha, A., Guizani, M., Mohammadi, M., et al. (2015). Internet of Things: A Survey on Enabling Technologies. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.
-
Gubbi, J., Buyya, R., Marusic, S., et al. (2016). Internet of Things (IoT): A vision. Future Generation Computer Systems, 29(7), 1645–1660.
-
Sinha, R., Wei, Y., Hwang, S. (2020). Smart waste management using IoT and machine learning. Sustainable Cities and Society, 59, 102–115.
-
Khan, S., Loukil, F., Ghedira-Guegan, C. (2018). IoT-based smart waste management system. Journal of Cleaner Production, 197, 1065–1078.
-
Batalla, J., Koucheryavy, A., et al. (2017). IoT in smart cities: Architecture and applications. IEEE Communications Magazine, 55(8), 110–117.
-
Kumar, N., Singh, S. (2021). Machine learning approaches for smart waste prediction. Applied Artificial Intelligence, 35(10), 1–18.
-
Arshad, H., et al. (2022). Deep learning for smart city waste management systems. IEEE Access, 10, 112345–112360.
-
Junaid, M., et al. (2020). IoT-based environmental monitoring challenges. Sensors, 20(18), 5201.
-
Li, X., Zhang, Y. (2019). Intelligent waste collection optimization using AI. Journal of Environmental Management, 231, 678–688.
About the Authors
License
Copyright (c) 2026 MMIT Proceedings
This work is licensed under a Creative Commons Attribution 4.0 International License.