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

  • Fares A. Dael*
  • , Mohammed A. Amran
  • , Ibraheem Shayea
  • , Leila Rzayeva
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Izmir Bakircay University
  • TeleYemen
  • Astana IT University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar257-264
Sayfa sayısı8
ISBN (Elektronik)9798350374100
DOI'lar
Yayın durumuYayınlandı - 2024
Etkinlik2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024 - Bhopal, India
Süre: 24 Şub 202425 Şub 2024

Yayın serisi

Adı2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024

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???event.eventtypes.event.conference???2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
Ülke/BölgeIndia
ŞehirBhopal
Periyot24/02/2425/02/24

Bibliyografik not

Publisher Copyright:
© 2024 IEEE.

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