"IoT-Based Route Recommendation for an Intelligent Waste Management Sys" by Mohammadhossein Ghahramani, Mengchu Zhou et al.
 

IoT-Based Route Recommendation for an Intelligent Waste Management System

Document Type

Article

Publication Date

7-15-2022

Abstract

The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors and services. These sensors are incorporated to collect various information, track physical conditions, e.g., waste bins' status, and exchange data with different centralized platforms. The need for such sensors is increasing; however, the proliferation of technologies comes with various challenges. For example, how can IoT and its associated data be used to enhance waste management? In smart cities, an efficient waste management system is crucial. Artificial intelligence (AI) and IoT-enabled approaches can empower cities to manage the waste collection. This work proposes an intelligent approach to route recommendation in an IoT-enabled waste management system given spatial constraints. It performs a thorough analysis based on AI-based methods and compare their corresponding results. Our solution is based on a multiple-level decision-making process in which bins' status and coordinates are taken into account to address the routing problem. Such AI-based models can help engineers design a sustainable infrastructure system.

Identifier

85120893154 (Scopus)

Publication Title

IEEE Internet of Things Journal

External Full Text Location

https://doi.org/10.1109/JIOT.2021.3132126

e-ISSN

23274662

First Page

11883

Last Page

11892

Issue

14

Volume

9

Grant

16/IA/4610

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