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Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol
Traffic systems have been built as a result of recent technological advancements. In application, dependable communication technology is essential to link any system needs. VANET technology is used to communicate data about intelligent traffic lights, which are focused on infrastructure during traff...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383356/ https://www.ncbi.nlm.nih.gov/pubmed/37514720 http://dx.doi.org/10.3390/s23146426 |
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author | Ali, Ali M. Ngadi, Md Asri Al_Barazanchi, Israa Ibraheem JosephNg, Poh Soon |
author_facet | Ali, Ali M. Ngadi, Md Asri Al_Barazanchi, Israa Ibraheem JosephNg, Poh Soon |
author_sort | Ali, Ali M. |
collection | PubMed |
description | Traffic systems have been built as a result of recent technological advancements. In application, dependable communication technology is essential to link any system needs. VANET technology is used to communicate data about intelligent traffic lights, which are focused on infrastructure during traffic accidents and mechanisms to reduce traffic congestion. To ensure reliable data transfer in VANET, appropriate routing protocols must be used. This research aims to improve data transmission in VANETs implemented in intelligent traffic lights. This study investigates the capability of combining the DSDV routing protocol with the routing protocol AODV to boost AODV on an OMNET++ simulator utilizing the 802.11p wireless standard. According to the simulation results obtained by analyzing the delay parameters, network QoS, and throughput on each protocol, the DSDV-AODV routing protocol performs better in three scenarios compared to QoS, delay, and throughput parameters in every scenario that uses network topology adapted to the conditions on the road intersections. The topology with 50 fixed + 50 mobile nodes yields the best results, with 0.00062 s delay parameters, a network QoS of 640 bits/s, and a throughput of 629.437 bits/s. Aside from the poor results on the network QoS parameters, the addition of mobile nodes to the topology influences both the results of delay and throughput metrics. |
format | Online Article Text |
id | pubmed-10383356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103833562023-07-30 Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol Ali, Ali M. Ngadi, Md Asri Al_Barazanchi, Israa Ibraheem JosephNg, Poh Soon Sensors (Basel) Article Traffic systems have been built as a result of recent technological advancements. In application, dependable communication technology is essential to link any system needs. VANET technology is used to communicate data about intelligent traffic lights, which are focused on infrastructure during traffic accidents and mechanisms to reduce traffic congestion. To ensure reliable data transfer in VANET, appropriate routing protocols must be used. This research aims to improve data transmission in VANETs implemented in intelligent traffic lights. This study investigates the capability of combining the DSDV routing protocol with the routing protocol AODV to boost AODV on an OMNET++ simulator utilizing the 802.11p wireless standard. According to the simulation results obtained by analyzing the delay parameters, network QoS, and throughput on each protocol, the DSDV-AODV routing protocol performs better in three scenarios compared to QoS, delay, and throughput parameters in every scenario that uses network topology adapted to the conditions on the road intersections. The topology with 50 fixed + 50 mobile nodes yields the best results, with 0.00062 s delay parameters, a network QoS of 640 bits/s, and a throughput of 629.437 bits/s. Aside from the poor results on the network QoS parameters, the addition of mobile nodes to the topology influences both the results of delay and throughput metrics. MDPI 2023-07-15 /pmc/articles/PMC10383356/ /pubmed/37514720 http://dx.doi.org/10.3390/s23146426 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ali, Ali M. Ngadi, Md Asri Al_Barazanchi, Israa Ibraheem JosephNg, Poh Soon Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol |
title | Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol |
title_full | Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol |
title_fullStr | Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol |
title_full_unstemmed | Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol |
title_short | Intelligent Traffic Model for Unmanned Ground Vehicles Based on DSDV-AODV Protocol |
title_sort | intelligent traffic model for unmanned ground vehicles based on dsdv-aodv protocol |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383356/ https://www.ncbi.nlm.nih.gov/pubmed/37514720 http://dx.doi.org/10.3390/s23146426 |
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