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

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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Bibliographic Details
Main Authors: Carlos Lester Duenas Santos, Ahmad Mohamad Mezher, Juan Pablo Astudillo Leon, Julian Cardenas Barrera, Eduardo Castillo Guerra, Julian Meng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning
wireless smart grid networks
neighbourhood area networks (NAN)
routing protocol for low-power and lossy networks (RPL)
Online Access:https://ieeexplore.ieee.org/document/10144317/

Internet

https://ieeexplore.ieee.org/document/10144317/

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