An Efficient Allocation System for Centralized Network Slicing in LoRaWan - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

An Efficient Allocation System for Centralized Network Slicing in LoRaWan

Résumé

The new emerging technologies enable the appearance of the 5G system and beyond that offers a plethora of services and target new verticals. One of these verticals is the large-scale Internet of Things (IoT) that is expected to be used everywhere in our daily lives. The traffic would likely be increased due to these emerging verticals. To overcome such challenges, network slicing and softwarization will play a crucial role in addressing these requirements and ensuring service level agreements (SLAs). Thus, there is a need to provide efficient and flexible network slice management mechanisms to handle the hurdles that come with the emerging industrial verticals. This paper focuses on network slicing in LoRa networks. We suggest a centralized coalition game-based network slicing strategy to manage LoRa nodes efficiently. According to the Kmeans clustering algorithm, the proposed solution is deployed within clustered players to maximize reliability while ensuring the SLA of the LoRa slices. Simulation results clearly show that our proposed approach improves Packets' Success Rate (PSR), Network Energy Consumption (NEC), and guarantees prioritization between slices.
Fichier principal
Vignette du fichier
GC_LoRA.pdf (356.06 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03911337 , version 1 (22-12-2022)

Identifiants

Citer

Fatima Zahra Mardi, Miloud Bagaa, Yassine Hadjadj-Aoul, Nabil Benamar. An Efficient Allocation System for Centralized Network Slicing in LoRaWan. IWCMC 2022 International Wireless Communications and Mobile Computing, May 2022, Dubrovnik, Croatia. pp.806-811, ⟨10.1109/IWCMC55113.2022.9825330⟩. ⟨hal-03911337⟩
41 Consultations
66 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More