Smart Waste Management: Leveraging IoT and Data Analytics for Sustainable Cities in Pakistan

Abstract

Rapid urbanization and population growth in Pakistan have significantly increased solid waste generation, leading to environmental degradation, public health risks, and inefficient municipal waste management. Traditional waste management systems are often reactive, lacking real-time monitoring and predictive capabilities. This study explores the integration of Internet of Things (IoT) technologies and data analytics to optimize waste collection, resource allocation, and environmental sustainability in urban Pakistan. By analyzing IoT-enabled smart bins, sensor networks, and predictive data models, this research demonstrates the potential for reducing operational costs, improving waste segregation, and enhancing citizen engagement. The findings underscore the need for a policy-driven approach to implement smart waste solutions, emphasizing sustainable urban development.