Performance evaluation of routing protocols in vehicular Ad-Hoc Networks for highway scenarios
dc.contributor.author | Dael, Fares Abdulhafidh Derhem | |
dc.contributor.author | Amran, Mohammed A. | |
dc.contributor.author | Shayea, Ibraheem | |
dc.contributor.author | Rzayeva, Leila | |
dc.date.accessioned | 2025-03-20T09:44:58Z | |
dc.date.available | 2025-03-20T09:44:58Z | |
dc.date.issued | 2024 | |
dc.department | İzmir Bakırçay Üniversitesi | |
dc.description | 2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024 -- 24 February 2024 through 25 February 2024 -- Bhopal -- 200787 | |
dc.description.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. © 2024 IEEE. | |
dc.identifier.doi | 10.1109/ICBDML60909.2024.10577327 | |
dc.identifier.endpage | 264 | |
dc.identifier.isbn | 979-835037410-0 | |
dc.identifier.scopus | 2-s2.0-85198904912 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 257 | |
dc.identifier.uri | https://doi.org/10.1109/ICBDML60909.2024.10577327 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14034/2103 | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | 2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024 | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_Scopus_20250319 | |
dc.subject | Ad Hoc Network | |
dc.subject | Analysis | |
dc.subject | AODV | |
dc.subject | DSDV | |
dc.subject | DSR | |
dc.subject | NS2 | |
dc.subject | Performance | |
dc.title | Performance evaluation of routing protocols in vehicular Ad-Hoc Networks for highway scenarios | |
dc.type | Conference Object |
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