Integration of IoT and Data Analytics in Waste Management: Toward Smart and Sustainable Practices
Keywords:
Waste Management, Smart Cities, Sustainable PracticesAbstract
This research examines the combination of Internet of Things (IoT) and data analytics in municipal solid waste management systems for increasing sustainability and operating efficiency. With an acceleration in urbanization, traditional methods of waste disposal are no longer sufficient, and this results in environmental issues, economic burdens, and public health issues. This study, based on a mixed-methods approach, examines IoT-enabled solutions like smart bins, sensor networks, and real-time monitoring platforms. It also examines data-driven decision-making models based on big data to reduce collection routes, recycling rates, and resource utilization. Data were collected using case studies, questionnaires, and the deployment of IoT devices in urban cities. Results show that there are remarkable waste saving, collection efficiency, and citizen engagement improvements. Based on the study, the synergy between data analytics and IoT has a profound impact in changing waste management, with feasible frameworks and policy recommendations for smart city projects.
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