Smart Dustbin Management System Using IoT with Cloud Integration

Efficient solid waste management has become a major concern due to rapid urbanisation, population growth, and increasing environmental pollution. Conventional waste collection systems rely on fixed schedules and manual monitoring, often leading to overflowing bins, inefficient resource utilisation, and unhygienic conditions. Recent advancements in the Internet of Things (IoT) have enabled the development of smart dustbin systems capable of real-time garbage level detection, remote monitoring, and automated alert generation. This paper presents a systematic review of IoT-enabled smart dustbin and waste management systems with emphasis on sensing technologies, communication architectures, data processing platforms, and system scalability. Existing studies demonstrate that smart dustbin solutions significantly improve waste collection efficiency, reduce operational costs, and support data-driven decision-making in smart cities. However, challenges related to energy efficiency, communication reliability, scalability, and intelligent analytics remain open research issues. By critically analyzing recent literature, this review identifies research gaps and highlights future directions for sustainable and intelligent waste management infrastructures

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-06
DOI
https://doi.org/10.5281/zenodo.18503337
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Dustbin Management System Using IoT with Cloud Integration

Lavina Wilson Dsouza, Sanika Sanjay Kamble, Priya Rajgonda Patil, Sanika Ganpati Kurale
Zenodo (CERN European Organization for Nuclear Research)
Municipal Solid Waste Management
article

Smart Dustbin Management System Using IoT with Cloud Integration

Lavina Wilson Dsouza, Sanika Sanjay Kamble, Priya Rajgonda Patil, Sanika Ganpati Kurale
article en

Abstract

Efficient solid waste management has become a major concern due to rapid urbanisation, population growth, and increasing environmental pollution. Conventional waste collection systems rely on fixed schedules and manual monitoring, often leading to overflowing bins, inefficient resource utilisation, and unhygienic conditions. Recent advancements in the Internet of Things (IoT) have enabled the development of smart dustbin systems capable of real-time garbage level detection, remote monitoring, and automated alert generation. This paper presents a systematic review of IoT-enabled smart dustbin and waste management systems with emphasis on sensing technologies, communication architectures, data processing platforms, and system scalability. Existing studies demonstrate that smart dustbin solutions significantly improve waste collection efficiency, reduce operational costs, and support data-driven decision-making in smart cities. However, challenges related to energy efficiency, communication reliability, scalability, and intelligent analytics remain open research issues. By critically analyzing recent literature, this review identifies research gaps and highlights future directions for sustainable and intelligent waste management infrastructures

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Municipal Solid Waste Management
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