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GNB-RPL: Gaussian Naïve Bayes for RPL Routing Protocol in Smart Grid Communications

Authors:

Ahmad Mohamad Mezher,

Carlos Lester Dueñas Santos,

David Rebollo-Monedero,

Julián Cárdenas-Barrera,

Mónica Aguilar Igartua,

Eduardo Castillo GuerraAuthors Info & Claims

Q2SWinet '23: Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

Pages 53 - 60

https://doi.org/10.1145/3616391.3622767

Published: 30 October 2023 Publication History

Abstract

This study investigates the potential of utilizing the Gaussian Naive Bayes algorithm for enhancing the performance of the Wireless Smart Grid Networks (WSGNs). We have incorporated the Gaussian Naive Bayes algorithm into the widely used Routing Protocol for Low-Power and Lossy Networks (RPL), resulting in an advanced variant named as GNB-RPL. This innovative protocol leverages the Naive Bayes algorithm to optimize routing decisions. Training a Naive Bayes classifier model on a data set of routing metrics enables us to make predictions about the probability of successfully reaching a destination node. Each network node utilizes this classifier to select the route with the highest probability of delivering packets effectively. Our findings demonstrate that GNB-RPL significantly enhances the packet delivery ratio while minimizing end-to-end delay through a comprehensive performance evaluation conducted in a realistic scenario and across different traffic loads. These results show the potential of GNB-RPL as a promising solution for achieving greater efficiency in WSGNs.

References

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Cited By

Mezher ADueñas Santos CAstudillo Leon JCárdenas-Barrera JMeng JCastillo-Guerra E(2024)Exploring model transferability in ML-integrated RPL routing for smart grid communication: A comparative analysis across urban scenariosAd Hoc Networks10.1016/j.adhoc.2024.103626164(103626)Online publication date: Nov-2024
https://doi.org/10.1016/j.adhoc.2024.103626

Index Terms

GNB-RPL: Gaussian Naïve Bayes for RPL Routing Protocol in Smart Grid Communications
1. Networks
  1. Network protocols
    1. Network layer protocols
      1. Routing protocols

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Information & Contributors

Information

Published In

cover image ACM Conferences

Q2SWinet '23: Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

October 2023

121 pages

ISBN:9798400703683

DOI:10.1145/3616391

General Chair:
Ahmed Mostefaoui
Universite de Franche Comte, France
,
Program Chair:
Peng Sun
Duke Kunshan University, China

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2023

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Research-article

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Atlantic Canada Opportunities Agency
Ministry for Science and Innovation (MCIN)

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MSWiM '23

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SIGSIM

MSWiM '23: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

October 30 - November 3, 2023

Quebec, Montreal, Canada

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Overall Acceptance Rate 46 of 131 submissions, 35%

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Cited By

Mezher ADueñas Santos CAstudillo Leon JCárdenas-Barrera JMeng JCastillo-Guerra E(2024)Exploring model transferability in ML-integrated RPL routing for smart grid communication: A comparative analysis across urban scenariosAd Hoc Networks10.1016/j.adhoc.2024.103626164(103626)Online publication date: Nov-2024
https://doi.org/10.1016/j.adhoc.2024.103626

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