IoT-Enabled Smart Waste Management System Using Edge AI for Real-Time Monitoring and Optimization
DOI:
https://doi.org/10.71143/r93z6755Keywords:
IoT, Edge AI, Smart Waste, Monitoring, in Real-time, Optimization, Waste CollectionAbstract
The problem of waste management is of very great significance in the cities, and the size of the populations as well as consumption was directly related to an increase in the waste as well as an ineffective waste management system. The past years and the advent of a new phenomenon, namely the Internet of Things (IoT) and Artificial Intelligence (AI), proved to bring new possible alterations to the waste management systems. The proposed smart waste management system (in this paper) is an IoT-enabled smart system with an edge AI that controls and optimizes the waste collection, recycling, and dispersal procedures effectively in real-time. The environmental conditions that are being detected by the system are the amount of waste in waste bins, which is itself implementing the IoT probes placed on the waste bins, and Edge AI is determining the frequency of waste bin collection and routing them and reducing the energy consumption cost and operational costs. The paper offers the architecture of the system that the target system is supposed to intervene in, its parts, and the virtues of adopting IoT with edge AI. It also speaks of the actual-time optimization of the waste management operations that entail optimization of the waste collection vehicles, such as optimal routing of the waste collection vehicles and enhanced decision-making with respect to waste recycling. The findings indicate that such a system has the potential of maximizing the efficiency of operations, maximizingthe management of the waste within the cities, and minimizing the emission of greenhouse gases. The paper has ended up discussing the probable issues of the IoT integration with the edge AI in the waste management systems and the future of the smart cities with respect to the commodification of the waste.
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Omar, M. F., Termizi, A. A. A., Zainal, D., Wahap, N. A., Ismail, N. M., & Ahmad, N. (2016). Implementation of spatial smart waste management system in malaysia. IOP Conference Series Earth and Environmental Science, 37, 12059. https://doi.org/10.1088/1755-1315/37/1/012059
Pardini, K., Rodrigues, J. J. P. C., Kozlov, S. A., Kumar, N., & Furtado, V. (2019). IoT-Based Solid Waste Management Solutions: A Survey. Journal of Sensor and Actuator Networks, 8(1), 5. https://doi.org/10.3390/jsan8010005
Fatorachian, H., Kazemi, H., & Pawar, K. S. (2025). Digital Technologies in Food Supply Chain Waste Management: A Case Study on Sustainable Practices in Smart Cities. Sustainability, 17(5), 1996. https://doi.org/10.3390/su17051996
Omar, M. F., Termizi, A. A. A., Zainal, D., Wahap, N. A., Ismail, N. M., & Ahmad, N. (2016). Implementation of spatial smart waste management system in malaysia. IOP Conference Series Earth and Environmental Science, 37, 12059. https://doi.org/10.1088/1755-1315/37/1/012059
Sinha, B. B., & Dhanalakshmi, R. (2021). Recent advancements and challenges of Internet of Things in smart agriculture: A survey. Future Generation Computer Systems, 126, 169. https://doi.org/10.1016/j.future.2021.08.006
Yarubi, K. S. A., Khairy, S. O. F., Hossain, S. M. E., & Hayder, G. (2025). Internet of Things-Driven Waste Management: Paving the Way for Sustainable Smart Cities. Processes, 13(4), 1140. https://doi.org/10.3390/pr13041140
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