AI-IoT-Based Optimization Techniques for Smart City Waste Management

Authors

  • Aditya Tulsyan * School of Computer Science Engineering, KIIT University, Bhubaneswar, India.

https://doi.org/10.48313/scodm.v2i2.32

Abstract

This research investigates the use of AI-IoT optimization methods in managing waste within smart cities. As urban populations increase, efficient waste management becomes vital for ensuring cleanliness, public health, and sustainability. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) offers innovative approaches to enhance the processes of waste collection, sorting, and disposal. This paper reviews existing applications of AI-IoT, outlines the challenges faced, and suggests solutions to improve system efficiency, decrease costs, and promote environmentally sustainable urban development. The goal of this study is to add to the expanding body of knowledge regarding sustainable waste management strategies in smart cities.

Keywords:

Artificial intelligence, Internet of things, Waste management, Smart cities, Optimization, Sustainability

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Published

2025-03-22

Issue

Vol. 2 No. 2 (2025): Supply Chain and Operations Decision Making Articles

Section

Articles

How to Cite

Tulsyan, A. . (2025). AI-IoT-Based Optimization Techniques for Smart City Waste Management. Supply Chain and Operations Decision Making, 2(2), 80-87. https://doi.org/10.48313/scodm.v2i2.32

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