Work

IoT-Enabled Smart Waste Management System Using Edge AI for Real-Time Monitoring and Optimization

Year: 2025

Type: article

Abstract: The problem of waste management is of very great significance in the cities, and the size of the populations as well as consumption was directly related to an increase in the waste as well as an ineffective waste management system. The past years and the advent of a new phenomenon, namely the Internet of Things (IoT) and Artificial Intelligence (AI), proved to bring new possible alterations to the waste management systems. The proposed smart waste management system (in this paper) is an IoT-enabled smart system with an edge AI that controls and optimizes the waste collection, recycling, and dispersal procedures effectively in real-time. The environmental conditions that are being detected by the system are the amount of waste in waste bins, which is itself implementing the IoT probes placed on the waste bins, and Edge AI is determining the frequency of waste bin collection and routing them and reducing the energy consumption cost and operational costs. The paper offers the architecture of the system that the target system is supposed to intervene in, its parts, and the virtues of adopting IoT with edge AI. It also speaks of the actual-time optimization of the waste management operations that entail optimization of the waste collection vehicles, such as optimal routing of the waste collection vehicles and enhanced decision-making with respect to waste recycling. The findings indicate that such a system has the potential of maximizing the efficiency of operations, maximizingthe management of the waste within the cities, and minimizing the emission of greenhouse gases. The paper has ended up discussing the probable issues of the IoT integration with the edge AI in the waste management systems and the future of the smart cities with respect to the commodification of the waste.

Source: International Journal of Research and Review in Applied Science Humanities and Technology

DOI: 10.71143/r93z6755

Author: Vikas Punia

Institution: Ministry of External Affairs

Language: English

Topic: Municipal Solid Waste Management

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7077042478

FWCI:

Cites:

Cited by:

Related to: