Resource Efficient Federated LoRaWAN Architecture for Far-Edge IoT Applications

This study introduces an innovative, resource-efficient architecture that incorporates advanced technologies to create a lightweight, flexible, and scalable framework for remote and limited data collecting and processing in next-generation Internet of Things (IoT) applications. It specifically propo...

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Autors principals: Anna Triantafyllou, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos, Georgios Th. Papadopoulos, Konstantinos Panitsidis, Panagiotis Sarigiannidis
Format: Artigo
Idioma:Inglês
Publicat: IEEE 2025-01-01
Col·lecció:IEEE Access
Matèries:
LoRaWAN
federated learning
knowledge distillation
Internet of Things
scheduling
architecture
Accés en línia:https://ieeexplore.ieee.org/document/11037774/
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