Réingénierie d'un système de stationnement intelligent à critères multiples en utilisant la découverte des services IoT.

Abstract

This thesis explores the essential role of the Internet of Things (IoT) in connecting the elements. We have developed a smart parking prototype using a multicriteria algorithm, aiming to assist users in finding the best parking spot based on criteria such as availability, price, and reputation. Our innovative approach relies on IoT service discovery through a real-time mobile application (Android). This work contributes to addressing parking issues through the Internet of Things and paves the way for future advancements in this field.