Optimisation des performances des r´eseaux du futur

Hannachi, Ahlam (2025) Optimisation des performances des r´eseaux du futur. Doctoral thesis, Université Mohamed Khider (Biskra - Algérie).

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Abstract

The Internet of Things (IoT) is driving the evolution of low-power, scalable, and reliable networks to meet the growing demand for large-scale deployments in diverse applications such as industrial automation, healthcare, and smart cities. Within this context, the 6TiSCH standard emerges as a promising framework by integrating IPv6 for scalability and Time-Slotted Channel Hopping (TSCH) for deterministic, energy-efficient communication in low-power and lossy networks (LLNs). However, despite its advantages, 6TiSCH networks face challenges related to energy consumption and network reliability, particularly due to the overhead introduced by control packet exchanges between the 6P protocol, the scheduling function, and the routing protocol. This thesis presents two novel contributions aimed at optimizing the performance of 6TiSCH networks by addressing challenges related to the number, size, and content of exchanged control packets. We reduce the number of 6P control packets transmitted during cell reservation through an optimized scheduling function, decreasing energy consumption while maintaining efficient resource allocation and improving overall network performance. Additionally, we minimize the size of control packets by leveraging cross-layer interactions between the scheduling function and the Routing Protocol for Low-Power and Lossy Networks (RPL), enhancing data transmission reliability and reducing communication overhead without compromising network stability or scalability. Through detailed theoretical analysis and extensive simulations using the 6TiSCH simulator, the proposed solutions demonstrate significant improvements in energy efficiency and reliability, addressing key limitations of the existing 6TiSCH framework. These findings highlight the importance of optimizing control packet interactions and resource management in achieving high-performance IIoT networks. Ultimately, this research contributes to the development of scalable, energy-efficient, and reliable networks, forming a critical foundation for the future of IoT communication systems.

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