BCOOL: A Novel Blockchain Congestion Control Architecture Using Dynamic Service Function Chaining and Machine Learning for Next Generation Vehicular Networks

BCOOL: A Novel Blockchain Congestion Control Architecture Using Dynamic Service Function Chaining and Machine Learning for Next Generation Vehicular Networks

This paper presents the first, novel, dynamic, resilient, and consistent Blockchain COngestion ContrOL (BCOOL) system for vehicular networks that fills the gap of trustworthy Blockchain congestion prediction systems. BCOOL relies on the heterogeneity of Machine Learning, Software-Defined Networks an...

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Bibliographic Details
Main Authors: Saida Maaroufi, Samuel Pierre
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Blockchain
congestion prediction
random forest
K-means
machine learning (ML)
network function virtualization (NFV)
Online Access:https://ieeexplore.ieee.org/document/9391673/

Internet

https://ieeexplore.ieee.org/document/9391673/

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