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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Smart Dustbin Management System Using IoT with Cloud Integration

Authors: Lavina Wilson Dsouza; Sanika Sanjay Kamble; Vasundhara Santosh Madyalkar; Pooja Vidyadhar Gurav;

Smart Dustbin Management System Using IoT with Cloud Integration

Abstract

Rapid urbanisation and population growth have significantly increased municipal solid waste generation, leading to inefficient waste collection, overflowing bins, and environmental pollution. This paper presents an Internet of Things (IoT) based Smart Dustbin Management System designed to monitor garbage fill levels in real time and provide timely alerts to municipal authorities. The proposed system uses an Arduino-based controller integrated with ultrasonic sensors for level detection, GSM for communication, and GPS for location tracking. When the garbage level exceeds a predefined threshold (98%), an alert message along with location details is transmitted to the concerned authority. Experimental results demonstrate reliable real-time monitoring, reduced overflow incidents, and improved waste collection efficiency. Comparative analysis with existing IoT-based waste and monitoring systems highlights the advantages of low cost, scalability, and reduced operational delay. The proposed system is suitable for smart city, urban, and campus-level waste management applications. Experimental evaluation demonstrates efficient wireless communication and accurate detection of unsafe conditions [12], [15]. This work highlights the potential of IoT technology in improving waste management and sustainable development with the Government of India.

Keywords

Smart Dustbin, Internet of Things, Waste Management, Ultrasonic Sensor, GSM, GPS.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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