Ashwini Pawale,
Anuradha Dadasaheb Thombare,
Prajakta Prabhakar Landge,
Gauri Babaji Gadge,
Dipti Sopan Dake,
- Professor, Department of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
- Student, Department of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
- Student, Department of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
- Student, Department of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
- Student, Department of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
Abstract
Smart Cities are being developed with the goal of providing a comfortable living environment for humans. One of the services these cities will offer is eco-friendly waste collection and processing. This study proposes an Internet of Things (IoT)-based system architecture designed to enable dynamic waste collection and delivery to processing plants or designated waste disposal sites. Traditionally, waste collection was managed in a relatively static manner using conventional operations research methods. However, as suggested in this study, the widespread use of sensors, actuators, and robust mobile communication networks enables IoT-driven dynamic solutions to optimize waste fleet management, collection routes, and organized waste pickup. We introduce a dynamic scheduling model based on object-oriented principles to address the challenges of near-real-time scheduling driven by sensor data streams. An Android app with a user-friendly interface is developed and implemented to demonstrate the feasibility of this system and assess a waste collection scenario using experimental data. Finally, the proposed models are evaluated using both synthetic and real data from the St. Petersburg, Russia metropolitan area, showing consistency and accuracy.
Keywords: Waste management system, disposal, collection, IoT
[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]
Ashwini Pawale, Anuradha Dadasaheb Thombare, Prajakta Prabhakar Landge, Gauri Babaji Gadge, Dipti Sopan Dake. Smart Waste Management System Using IoT and KNN. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(03):42-46.
Ashwini Pawale, Anuradha Dadasaheb Thombare, Prajakta Prabhakar Landge, Gauri Babaji Gadge, Dipti Sopan Dake. Smart Waste Management System Using IoT and KNN. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(03):42-46. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=228068
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Research & Reviews: A Journal of Embedded System & Applications
| Volume | 13 |
| Issue | 03 |
| Received | 18/02/2025 |
| Accepted | 20/06/2025 |
| Published | 20/09/2025 |
| Publication Time | 214 Days |
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