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...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:6bd0e6b05e7f4751b075ce1fcd4b277b2021-11-25T06:19:37ZAn optimized location service for the fifth generation VANETs inspired by traffic lights1932-6203https://doaj.org/article/6bd0e6b05e7f4751b075ce1fcd4b277b2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601539/?tool=EBIhttps://doaj.org/toc/1932-6203Vehicular 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.Esraa Al-EzalyAhmed Abo-ElfetohSara ElhishiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021) |
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Medicine R Science Q Esraa Al-Ezaly Ahmed Abo-Elfetoh Sara Elhishi An optimized location service for the fifth generation VANETs inspired by traffic lights |
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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 |
article |
author |
Esraa Al-Ezaly Ahmed Abo-Elfetoh Sara Elhishi |
author_facet |
Esraa Al-Ezaly Ahmed Abo-Elfetoh Sara Elhishi |
author_sort |
Esraa Al-Ezaly |
title |
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_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_sort |
optimized location service for the fifth generation vanets inspired by traffic lights |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/6bd0e6b05e7f4751b075ce1fcd4b277b |
work_keys_str_mv |
AT esraaalezaly anoptimizedlocationserviceforthefifthgenerationvanetsinspiredbytrafficlights AT ahmedaboelfetoh anoptimizedlocationserviceforthefifthgenerationvanetsinspiredbytrafficlights AT saraelhishi anoptimizedlocationserviceforthefifthgenerationvanetsinspiredbytrafficlights AT esraaalezaly optimizedlocationserviceforthefifthgenerationvanetsinspiredbytrafficlights AT ahmedaboelfetoh optimizedlocationserviceforthefifthgenerationvanetsinspiredbytrafficlights AT saraelhishi optimizedlocationserviceforthefifthgenerationvanetsinspiredbytrafficlights |
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1718413868884033536 |