Performance Evaluation of Routing Protocols in Vehicular Ad-Hoc Networks for Highway Scenarios

Fares A. Dael*, Mohammed A. Amran, Ibraheem Shayea, Leila Rzayeva

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This study assesses the efficacy of three routing protocols, namely Ad-hoc on-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Direct Sequence Distance Vector (DSDV), in Vehicular Ad-Hoc Networks (VANETs) utilizing the Network Simulator-2 (NS-2). The research evaluates the impact of different speeds and node densities on network efficiency in highway settings that simulate real-world scenarios. This assessment focuses on throughput, packet delivery ratio (PDR), end-to-end delay, and normalized routing overhead. The simulation findings demonstrate that DSR outperforms in terms of PDR, throughput, and routing overhead as the node density increases. On the other hand, DSDV performs exceptionally well in offering greater packet delivery ratios and throughput, with reduced delays, as mobility increases. These findings emphasize the need to select the appropriate routing protocol for VANETs, considering specific deployment factors such as node density and mobility. The study not only enhances comprehension of the strengths and weaknesses of AODV, DSR, and DSDV in VANETs but also guides network designers and researchers to optimize protocol performance for enhanced network stability and efficiency. Potential areas for future research include investigating the implementation of hybrid protocols to optimize the performance of VANETs.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-264
Number of pages8
ISBN (Electronic)9798350374100
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024 - Bhopal, India
Duration: 24 Feb 202425 Feb 2024

Publication series

Name2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024

Conference

Conference2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
Country/TerritoryIndia
CityBhopal
Period24/02/2425/02/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Ad Hoc Network
  • Analysis
  • AODV
  • DSDV
  • DSR
  • NS2
  • Performance

Fingerprint

Dive into the research topics of 'Performance Evaluation of Routing Protocols in Vehicular Ad-Hoc Networks for Highway Scenarios'. Together they form a unique fingerprint.

Cite this