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ML-RPL: Machine Learning-Based Routing Protocol for Wireless Smart Grid Networks

This research explores the potential of Machine Learning (ML) to enhance wireless communication networks, specifically in the context of Wireless Smart Grid Networks (WSGNs). We integrated ML into the well-established Routing Protocol for Low-Power and Lossy Networks (RPL), resulting in an advanced...

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Principais autores: Carlos Lester Duenas Santos, Ahmad Mohamad Mezher, Juan Pablo Astudillo Leon, Julian Cardenas Barrera, Eduardo Castillo Guerra, Julian Meng
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2023-01-01
Serier:IEEE Access
Fag:
Machine learning
wireless smart grid networks
neighbourhood area networks (NAN)
routing protocol for low-power and lossy networks (RPL)
Online adgang:https://ieeexplore.ieee.org/document/10144317/
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