Data-Driven Approaches to Urban Solid Waste Management Using IoT Technology

Abstract

Urban solid waste management has become a critical challenge in Pakistani cities due to increasing population, rapid urbanization, and inefficient collection systems. The integration of Internet of Things (IoT) technologies with data-driven strategies offers transformative potential for optimizing waste collection, reducing operational costs, and minimizing environmental impact. This study explores the application of IoT-enabled smart bins, sensors, predictive analytics, and cloud-based platforms for waste management in urban areas of Pakistan. Through case studies, data modeling, and best practice analysis, the research highlights the effectiveness of IoT technologies in improving efficiency, enhancing citizen participation, and fostering sustainable urban environments.