Effective waste management systems are essential for maintaining sustainability, environmental health, and cleanliness in the age of smart cities. This chapter provides a thorough analysis of the combination of cutting-edge waste minimization techniques with the deployment of an internet of things-based automatic dust bin. The suggested system optimizes garbage collection, lowers operating costs, and has a less environmental effect by combining the creative use of proximity sensors, real-time data analytics, and smart bin technologies. Remote monitoring and administration are made possible by the linked ecosystem that is created by the integration with the internet of things (IoT). In order to further promote environmentally friendly urban life, the study also examines waste-to-energy technology, circular economy ideas, and sustainable waste management techniques. The results provide insightful information for scholars, decision-makers, and urban planners looking for ground-breaking waste management solutions for today's cities.
Top1. Introduction
Urbanization and the growth of smart cities have brought about a pressing need for innovative waste management solutions to address the challenges of in- creasing population density and environmental sustainability (Subhashini and Khang, 2023). Conventional waste management methods often fall short in meeting the dynamic demands of modern urban lifestyles. To bridge this gap, our research focuses on the implementation of cutting-edge technologies, particularly the Internet of Things (IoT), to revolutionize the way waste is collected, processed, and managed in urban environments(Rath and Khang et al., 2024; Kumar, Kumar, et al., 2024).
1.1 Background and Motivation
The rapid urbanization of cities worldwide has led to an exponential increase in the volume of waste generated daily (Raj and Appadurai et al., 2022). Traditional waste management systems, reliant on fixed schedules and manual processes, struggle to keep pace with the dynamic nature of urban waste generation (Anomanyo, 2004). Over owing bins, inefficient collection routes, and environmental concerns have underscored the urgency for a smarter and more adaptive waste management approach (Pardini and Rodrigues et al., 2019). Motivated by these challenges, our research seeks to leverage IoT technologies to create an intelligent and automated waste management system (Abba and Light, 2020; Gutierrez and Jensen, et al. 2015; Pardini and Rodrigues et al., 2018). By incorporating proximity sensors, smart bin technologies, and real-time data analytics, we aim to enhance the efficiency of waste collection, reduce operational costs, and contribute to a more sustainable urban ecosystem.
1.2 Objectives
The primary objectives of our research are as follows:
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Implement an IoT-based automated dustbin system with proximity sensors for responsive and user-friendly waste disposal.
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Design and deploy a centralized waste collection pipeline that optimizes collection routes, reduces manual intervention, and enhances overall system efficiency.
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Explore and integrate advanced waste management strategies, including data analytics, sustainable practices, and waste-to-energy technologies, to further improve the environmental impact of urban waste disposal (Ghosh, Pradhan and Khang, 2022; Jebaraj and Khang et al. 2023).
1.3 Scope
This research focuses on the development, implementation, and evaluation of an IoT-based automated dust bin system and a centralized waste collection pipeline. The scope extends to the exploration of sustainable waste practices and innovative technologies that contribute to the overall enhancement of urban waste management. The findings aim to provide valuable insights for re- searchers, policymakers, and urban planners striving for more efficient and eco- friendly waste management solutions in smart cities
2. Literature Review
The evolution of waste management practices has been significantly influenced by advancements in technology, with the integration of IoT technology emerging as a transformative force in recent years (Vishnu and Ramson et al., 2021; Malapur and Pattanshetti et al., 2017; Capodaglio, 2017). This section delves into the existing body of literature to explore the key themes surrounding IoT in waste management, automated dust bin systems, proximity sensors, and centralized waste collection systems.