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@article{177820, author = {Ayush Tyagi and Ayushi Goyal and Nidhi Tyagi and Palak Tuteja and Davesh Singh Som}, title = {IOT-based Smart Waste Management System for Smart Cities}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {12}, pages = {3089-3093}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=177820}, abstract = {The rapid change of shift of population from rural to urban areas of modern cities has led to an increasing demand for efficient waste management solutions. Old waste collection methods often result in more usage of money, labour and materials to improve its output which increase costs, and make extreme events in the earth which cause serious damages to humans and environment. This paper proposes an IoT-based smart waste management system that influences AI-driven automation, real-time data analytics, and proceed technologies to improve municipal waste collection. The system combines smart bins consist with IoT sensors to monitor fill levels, AI-powered dynamic route optimization to reduce unnecessary waste collection paths, and continues waste sorting bins for enhance recycling efficiency. In Addition, blockchain technology ensuring transparency in waste tracking and drone monitoring enables fast detection of overflowing bins and open dumping. People engage by gamification and reward systems encourages responsible waste disposal, AI-optimized waste-to-energy convert organic waste into bio-energy or electricity. Digital twin replica allows for predictive modelling and optimization of waste management strategies. The proposed system aims to reduce environmental impact, minimize costs, making urban waste management more sustainable, efficient, and data-driven.}, keywords = {IoT, Smart Cities, Waste Management, AI, Blockchain, Waste-to-Energy, Pneumatic Waste Collection, Drones, Smart Composting, Citizen Engagement.}, month = {May}, }
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