Résumé:
In today's rapidly developing world of wireless communications, Machine-to-Machine (M2M) communication, Internet of Things (IoT) technology, along with 4th Generation (4G) and 5th Generation (5G) networks are becoming critical to many applications and services. This PhD research aims to study the deployment and convergence of IoT/M2M networks and 4G/5G mobile networks. Despite their widespread use, existing IoT/M2M Smart-X systems face several limitations such as lack of integration between IoT and M2M technologies, high costs, unfriendly user interfaces, reliance on only one or two wireless communication networks, limited range of wireless communication networks, and the lack of a convergent solution. To address these limitations, our proposed solution offers four major contributions: adaptive control for IoT/M2M devices connected to heterogeneous networks (HetNets) in smart-x systems using low-cost components; dynamic use and intelligent management of IoT/M2M devices to facilitate monitoring and control of any smart-x system (office, home, building, hospital, city, etc.) through IoT platforms such as ThingSpeak, Blynk, and our versatile free IoT/M2M platform named Raniso; proposal of innovative applications including smart home automation, smart environment, smart city, smart healthcare, and smart building; and validation of the functionality of the proposed systems in terms of adaptation, control, automation, safety, comfort, energy efficiency, and performance. The objective of this dissertation to propose a hybrid (local and remote) IoT/M2M smart-x systems that are based on HetNets, consisting of Wireless Sensor Networks (WSNs) [Radio Frequency Identification (RFID), Bluetooth, Wireless Fidelity (Wi-Fi)] and Mobile Cellular Networks (MCNs) [Global System for Mobile (GSM), Long Term Evolution (LTE), and 5G].
