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A Software-Centric Evaluation of the VEINS Framework in Vehicular Ad-Hoc Networks

Journal of Robotics and Control (JRC) · Vol. 6 No. 2 (2025) · hlm. 822–845

DOI
10.18196/jrc.v6i2.25839
ISSN
2715-5072, 2715-5056
Terbit
2025-04-12
Penerbit
Universitas Muhammadiyah Yogyakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The Large Communication Substitution between vehicles to infrastructure (V2I) or between vehicles (V2V), called as Vehicular Ad-Hoc Networks (VANETs), in new Tale Intelligent Transportation Systems (ITS) are degree and stop developing for extensive traffic manage, highway safety, and driverless cars. VEINS is a simulator framework that couples OMNeT++ and SUMO, widely used for assessing performance of VANET protocols and network architectures. However, it was observed that no existing research reviewed VEINS applications, limitations, or emerging trends in a structured manner. In this paper we provide a software-oriented summary of VEINS-based VANET studies. This research adds a taxonomy-oriented classification of studies published from 2011 to 2022, focusing on IEEE Xplore, ScienceDirect, and Scopus categorized security, safety, and other VANET applications. It identifies some gaps, right from the scalability, and computational overhead aspect to the limited integration of the next-generation technologies like 5G, Blockchain, and AI. A well-defined article selection strategy, extensive data extraction, and a comparative analysis of published VEINS studies is followed throughout the study. Statistical analyses show a growing percentage of VEINS but also point out obstacles to its real world usage. Key Insights point to an emphasis on security and safety, with little focus on emerging technologies and real-world validations. This review adds value to the body of knowledge by (1) establishing a systematic taxonomy of VEINS-based research, (2) highlighting gaps in research and methodological limits, and (3) providing future research directions focused on VEINS scalability enhancement, real-world validation frameworks, and AI-enabled VANET optimizations. The study is expected to be a useful reference for researchers and practitioners who intend to improve VEINS-based simulations of VANETs and accelerate development in the field of ITS.

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  • University of Basrah
  • Southern Technical University
  • Shatt Al-Arab University College
  • Universiti Sains Malaysia
  • University of Warith Al-Anbiyaa
  • University of Jordan
  • King Faisal University
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Rekan penulisOrganisasiArtikel bersama
Mohammed Amin AlmaiahUniversity of Jordan17
Abdulnasser AbdulJabbar AbboodAfiliasi tidak diketahui11
Abbas Jalal KaisheshUniversity of Kerbala8
Murtaja Ali SaareUniversity of Basrah7
Mansour ObeidatAfiliasi tidak diketahui7
Rommel Mahmoud AlAliKing Faisal University6
Hussein Ahmed AliUniversity of Kirkuk6
Huda Mohammed AlsayednoorShatt Al-Arab University College5
Ali A. AlaidanyShatt Al-Arab University College5
Ghazi Jalal KasheshUniversity of Kerbala5
Mustafa Moosa QasimUniversity of Basrah3
Akram Hussain Abd AliUniversity of Basrah3
Bushra Abdullah ShtaytSouthern Technical University3
Karrar Ali AbdullahShatt Al-Arab University College3
Selvakumar ManickamUniversiti Sains Malaysia2
Shankar KaruppayahUniversiti Sains Malaysia2
Mohammed Thakir MahmoodAfiliasi tidak diketahui2
Wassan Adnan HashimAl-Qalam University2
Saadaldeen Rashid AhmedBayan University2
May Adnan FalehSouthern Technical University2
Ali M. AbdulsadaUniversity of Warith Al-Anbiyaa2
Mohamed Abdulrahman AbdulhamedUniversity of Basrah2
Ali K. MattarShatt Al-Arab University College2
Khansaa Azeez Obayes Al-HusseiniAl-Furat Al-Awsat Technical University2
Ali Adil YassinUniversity of Basrah1
Devamekalai NagasundaramUniversiti Sains Malaysia1
Sababathy PalanisamyUniversiti Sains Malaysia1
Erum AshrafBahria University1
Marwa K. FarhanMinistry of Higher Education and Scientific Research1
Rommel Al AliAfiliasi tidak diketahui1
Saadaldeen Rashid AhmedAl-Ayen Iraqi University1
Nada Mohammed MuradMinistry of Higher Education and Scientific Research1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.umy.ac.id/index.php/jrc/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">A Software-Centric Evaluation of the VEINS Framework in Vehicular Ad-Hoc Networks</dc:title>
	<dc:creator>Altmemi, Jalal Mohammed Hachim</dc:creator>
	<dc:creator>AL-Shammri, Faris K.</dc:creator>
	<dc:creator>Alzamili, Zainab Marid</dc:creator>
	<dc:creator>Al-Shareeda‬‏, ‪Mahmood A.</dc:creator>
	<dc:creator>Almaiah, Mohammed Amin</dc:creator>
	<dc:creator>Shehab, Rami</dc:creator>
	<dc:creator>Ngadi, Md Asri Bin</dc:creator>
	<dc:creator>Aljarwan, Abdulaziz Zaid A.</dc:creator>
	<dc:subject xml:lang="en-US">Software-Centric Evaluation</dc:subject>
	<dc:subject xml:lang="en-US">Intelligent Transportation Systems (ITS)</dc:subject>
	<dc:subject xml:lang="en-US">OMNeT  /VEINS Framework</dc:subject>
	<dc:subject xml:lang="en-US">Vehicular Adhoc Networks (VANETs)</dc:subject>
	<dc:subject xml:lang="en-US">Network Simulation</dc:subject>
	<dc:subject xml:lang="en-US">Traffic Modeling</dc:subject>
	<dc:description xml:lang="en-US">The Large Communication Substitution between vehicles to infrastructure (V2I) or between vehicles (V2V), called as Vehicular Ad-Hoc Networks (VANETs), in new Tale Intelligent Transportation Systems (ITS) are degree and stop developing for extensive traffic manage, highway safety, and driverless cars. VEINS is a simulator framework that couples OMNeT++ and SUMO, widely used for assessing performance of VANET protocols and network architectures. However, it was observed that no existing research reviewed VEINS applications, limitations, or emerging trends in a structured manner. In this paper we provide a software-oriented summary of VEINS-based VANET studies. This research adds a taxonomy-oriented classification of studies published from 2011 to 2022, focusing on IEEE Xplore, ScienceDirect, and Scopus categorized security, safety, and other VANET applications. It identifies some gaps, right from the scalability, and computational overhead aspect to the limited integration of the next-generation technologies like 5G, Blockchain, and AI. A well-defined article selection strategy, extensive data extraction, and a comparative analysis of published VEINS studies is followed throughout the study. Statistical analyses show a growing percentage of VEINS but also point out obstacles to its real world usage. Key Insights point to an emphasis on security and safety, with little focus on emerging technologies and real-world validations. This review adds value to the body of knowledge by (1) establishing a systematic taxonomy of VEINS-based research, (2) highlighting gaps in research and methodological limits, and (3) providing future research directions focused on VEINS scalability enhancement, real-world validation frameworks, and AI-enabled VANET optimizations. The study is expected to be a useful reference for researchers and practitioners who intend to improve VEINS-based simulations of VANETs and accelerate development in the field of ITS.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2025-04-12</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.umy.ac.id/index.php/jrc/article/view/25839</dc:identifier>
	<dc:identifier>10.18196/jrc.v6i2.25839</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 6 No. 2 (2025); 822-845</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/25839/11447</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Jalal Mohammed Hachim Altmemi, Faris K. AL-Shammri, Zainab Marid Alzamili, ‪Mahmood A. Al-Shareeda‬‏, Mohammed Amin Almaiah, Rami Shehab, Md Asri Bin Ngadi, Abdulaziz Zaid A. Aljarwan</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>