The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2024.0150894
PDF

Securing RPL Networks with Enhanced Routing Efficiency with Congestion Prediction and Load Balancing Strategy

Author 1: Saumya Raj
Author 2: Rajesh R

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 8, 2024.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Low power and Lossy Networks (LLNs) are essential components of the Internet of Things (IoT) environment. In LNNs, the Routing Protocol for LLN (RPL)-based Internet Protocol Version 6 (IPv6) routing protocol is regarded as a standardized solution. However, the existing models did not account for the issues with congestion and security when modeling the RPL. Thus, to resolve these issues, this paper proposes a novel Exponential Poisson Distribution–Fuzzy (EPD-Fuzzy) model and Kullback Leibler Divergence-based Tunicate Swarm Algorithm (KLD-TSA) for developing a reliable RPL model. The hash codes are first generated for the registered nodes at the network end in order to achieve security; the hash codes are subsequently compared via requests with the immediate nodes. Each node sends a request to its neighbors using the hash value; if the hash value matches, a path is formed. The parent nodes are then chosen and ranked using the Pearson Correlation Coefficient-Spotted Hyena Optimization Algorithm (PCC-SHOA) technique to minimize latency. To avoid congestion, the EPD-Fuzzy is employed to predict congestion; then, a genitor node is introduced in the congested scenarios. The big data and videos are split, compressed, and sent via multiple paths to reduce the losses in the RPL. Moreover, to avoid network traffic, a novel KLD-TSA load balancing is introduced at the user end. The experiential outcomes exhibited the proposed technique’s effectiveness regarding Packet delivery ratio (PDR).

Keywords: Low power and Lossy Network (LLN); Routing Protocol for LLN (RPL); load balancing; Internet of Things (IoT); Internet Protocol Version 6 (IPv6)

Saumya Raj and Rajesh R, “Securing RPL Networks with Enhanced Routing Efficiency with Congestion Prediction and Load Balancing Strategy” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150894

@article{Raj2024,
title = {Securing RPL Networks with Enhanced Routing Efficiency with Congestion Prediction and Load Balancing Strategy},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150894},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150894},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Saumya Raj and Rajesh R}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Computer Vision Conference
  • Healthcare Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org