1 Department of Environmental Science, Georgia Southern University, Georgia, USA.
2 Department of Applied Physical Science, Environmental Science Concentration, Georgia Southern University, Georgia, USA.
3 Department of Geography and Environmental Management University of Ilorin, Ilorin, Kwara State, Nigeria.
4 Department of Telecommunications Engineering, Federal University of Technology, Minna, Nigeria.
5 Africa Center of Excellence for Sustainable Power and Energy Development, ACE- SPED, University of Nigeria, Nsukka 410001, Nigeria.
6 Department of Electrical and Electronics Engineering Kebbi State University of Science and Technology Aliero, Nigeria.
World Journal of Advanced Research and Reviews, 2025, 25(03), 854-862
Article DOI: 10.30574/wjarr.2025.25.3.0792
Received on 03 February 2025; revised on 10 March 2025; accepted on 12 March 2025
This study introduces an innovative system designed to revolutionize waste management by integrating technologies. The proposed solution leverages the Internet of Things (IoT) to create smart waste bins equipped with sensors that monitor fill levels in real time. These sensors transmit data to an IoT-based platform, where it is processed to optimize waste collection routes and generate actionable insights for resource allocation and service improvement. Additionally, the system empowers citizens by providing real-time access to waste bin statuses through a user-friendly mobile application or web interface. A functional prototype of the smart bin, along with the waste management application, was developed and tested in a real-world scenario. The results demonstrate the system’s potential to transform waste disposal practices, enhance operational efficiency, and optimize the use of economic and material resources.
Waste Volume Optimization; Real-Time Monitoring; Route Optimization; Predictive Analytics; Sustainable Waste Management; Smart Bins
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Taiwo Bakare-Abidola, Jelil Olaoye, Bello Hafisat Omodasola, Bello Abdur-Rafiu Adekunle, Nebechi Kate Obiora and Dauda Umar Muhammad. Smart city approach to intelligent waste volume management. World Journal of Advanced Research and Reviews, 2025, 25(03), 854-862. Article DOI: https://doi.org/10.30574/wjarr.2025.25.3.0792.
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