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An optimized location service for the fifth generation VANETs inspired by traffic lights
Vehicular ad-hoc networks (VANETs) address a steadily expanding demand, particularly for public emergency applications. Real-time localization of destination vehicles is important for determining the route to deliver messages. Existing location administration services in VANETs are classified as flo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601539/ https://www.ncbi.nlm.nih.gov/pubmed/34793487 http://dx.doi.org/10.1371/journal.pone.0259060 |
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author | Al-Ezaly, Esraa Abo-Elfetoh, Ahmed Elhishi, Sara |
author_facet | Al-Ezaly, Esraa Abo-Elfetoh, Ahmed Elhishi, Sara |
author_sort | Al-Ezaly, Esraa |
collection | PubMed |
description | Vehicular ad-hoc networks (VANETs) address a steadily expanding demand, particularly for public emergency applications. Real-time localization of destination vehicles is important for determining the route to deliver messages. Existing location administration services in VANETs are classified as flooding-based, flat-based, and geographic-based location services. Existing localization techniques suffer from network disconnection and overloading because of 5G VANET topology changes. 5G VANETs have low delay and support time-sensitive applications. A traffic light-inspired location service (TLILS) is proposed to manage localization inspired by traffic lights. The proposed optimized localization service uses roadside units (RSUs) as location servers. RSUs with the maximum traffic weight metrics were chosen. Traffic weight metrics are based on speed of vehicles, connection time and density of neighboring vehicles. The proposed TLILS outperforms both Name-ID Hybrid Routing (NIHR) and Zoom-Out Geographic Location Service (ZGLS) for packet delivery ratio (PDR) and delay. TLILSs guarantee the highest PDR (0.96) and the shortest end-to-end delay (0.001 s) over NIHR and ZGLS. |
format | Online Article Text |
id | pubmed-8601539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-86015392021-11-19 An optimized location service for the fifth generation VANETs inspired by traffic lights Al-Ezaly, Esraa Abo-Elfetoh, Ahmed Elhishi, Sara PLoS One Research Article Vehicular ad-hoc networks (VANETs) address a steadily expanding demand, particularly for public emergency applications. Real-time localization of destination vehicles is important for determining the route to deliver messages. Existing location administration services in VANETs are classified as flooding-based, flat-based, and geographic-based location services. Existing localization techniques suffer from network disconnection and overloading because of 5G VANET topology changes. 5G VANETs have low delay and support time-sensitive applications. A traffic light-inspired location service (TLILS) is proposed to manage localization inspired by traffic lights. The proposed optimized localization service uses roadside units (RSUs) as location servers. RSUs with the maximum traffic weight metrics were chosen. Traffic weight metrics are based on speed of vehicles, connection time and density of neighboring vehicles. The proposed TLILS outperforms both Name-ID Hybrid Routing (NIHR) and Zoom-Out Geographic Location Service (ZGLS) for packet delivery ratio (PDR) and delay. TLILSs guarantee the highest PDR (0.96) and the shortest end-to-end delay (0.001 s) over NIHR and ZGLS. Public Library of Science 2021-11-18 /pmc/articles/PMC8601539/ /pubmed/34793487 http://dx.doi.org/10.1371/journal.pone.0259060 Text en © 2021 Al-Ezaly et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Al-Ezaly, Esraa Abo-Elfetoh, Ahmed Elhishi, Sara An optimized location service for the fifth generation VANETs inspired by traffic lights |
title | An optimized location service for the fifth generation VANETs inspired by traffic lights |
title_full | An optimized location service for the fifth generation VANETs inspired by traffic lights |
title_fullStr | An optimized location service for the fifth generation VANETs inspired by traffic lights |
title_full_unstemmed | An optimized location service for the fifth generation VANETs inspired by traffic lights |
title_short | An optimized location service for the fifth generation VANETs inspired by traffic lights |
title_sort | optimized location service for the fifth generation vanets inspired by traffic lights |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601539/ https://www.ncbi.nlm.nih.gov/pubmed/34793487 http://dx.doi.org/10.1371/journal.pone.0259060 |
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