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, 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 compares 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.
Highlights
T HE world’s population living in urban areas is expected to continue to grow at a fast pace
We have proposed an Internet of Things (IoT)-based model coupled with spatial constraints to solve a route recommendation problem in this work
We have modeled and solved the concerned problem through two different scenarios, i.e., discrete and continuous optimization approaches
Summary
T HE world’s population living in urban areas is expected to continue to grow at a fast pace. Waste management consists of different procedures like garbage collection, transport, processing, waste disposal, and monitoring [1]. AI-based models are incorporated in different fields of study, such as manufacturing, to solve various problems like process planning, route optimization, and extracting insights from sensor data [8]–[11]. AI-based approaches like Genetic Algorithm (GA) can be adopted to increase efficiency and reduce cost [13] Their applications to waste management can make garbage collection processes smart. Route planning in the context of waste management is defined as the process of identifying and evaluating the feasibility of routes for collecting garbage efficiently. The contributions of this work are as follows: 1) An optimized IoT-based model including intelligent vehicle routing strategies coupled with spatial constraints is proposed to offer promising search capability in a discrete and continuous domain for waste management.
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