IOT-based Smart Waste Management System for Smart Cities

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Ayush Tyagi; Ayushi Goyal; Nidhi Tyagi; Palak Tuteja; Davesh Singh Som

IOT-based Smart Waste Management System for Smart Cities

Authors: Ayush Tyagi, Ayushi Goyal, Nidhi Tyagi, Palak Tuteja, Davesh Singh Som

Unique Paper ID: 177820
Volume: 11
Issue: 12
PageNo: 3089-3093

Keywords: IoT Smart Cities Waste Management AI Blockchain Waste-to-Energy Pneumatic Waste Collection Drones Smart Composting Citizen Engagement.

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 3089-3093

IOT-based Smart Waste Management System for Smart Cities

Available:https://ijirt.org/article?manuscript=177820

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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