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Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments

Heterogeneous vehicular communication on the Internet of connected vehicle (IoV) environment is an emerging research theme toward achieving smart transportation. It is an evolution of the existing vehicular ad hoc network architecture due to the increasingly heterogeneous nature of the various exist...

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Autores principales: Khasawneh, Ahmad M., Helou, Mamoun Abu, Khatri, Aanchal, Aggarwal, Geetika, Kaiwartya, Omprakash, Altalhi, Maryam, Abu-ulbeh, Waheeb, AlShboul, Rabah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840583/
https://www.ncbi.nlm.nih.gov/pubmed/35161992
http://dx.doi.org/10.3390/s22031247
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author Khasawneh, Ahmad M.
Helou, Mamoun Abu
Khatri, Aanchal
Aggarwal, Geetika
Kaiwartya, Omprakash
Altalhi, Maryam
Abu-ulbeh, Waheeb
AlShboul, Rabah
author_facet Khasawneh, Ahmad M.
Helou, Mamoun Abu
Khatri, Aanchal
Aggarwal, Geetika
Kaiwartya, Omprakash
Altalhi, Maryam
Abu-ulbeh, Waheeb
AlShboul, Rabah
author_sort Khasawneh, Ahmad M.
collection PubMed
description Heterogeneous vehicular communication on the Internet of connected vehicle (IoV) environment is an emerging research theme toward achieving smart transportation. It is an evolution of the existing vehicular ad hoc network architecture due to the increasingly heterogeneous nature of the various existing networks in road traffic environments that need to be integrated. The existing literature on vehicular communication is lacking in the area of network optimization for heterogeneous network environments. In this context, this paper proposes a heterogeneous network model for IoV and service-oriented network optimization. The network model focuses on three key networking entities: vehicular cloud, heterogeneous communication, and smart use cases as clients. Most traffic-related data–oriented computations are performed at cloud servers for making intelligent decisions. The connection component enables handoff-centric network communication in heterogeneous vehicular environments. The use-case-oriented smart traffic services are implemented as clients for the network model. The model is tested for various service-oriented metrics in heterogeneous vehicular communication environments with the aim of affirming several service benefits. Future challenges and issues in heterogeneous IoV environments are also highlighted.
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spelling pubmed-88405832022-02-13 Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments Khasawneh, Ahmad M. Helou, Mamoun Abu Khatri, Aanchal Aggarwal, Geetika Kaiwartya, Omprakash Altalhi, Maryam Abu-ulbeh, Waheeb AlShboul, Rabah Sensors (Basel) Article Heterogeneous vehicular communication on the Internet of connected vehicle (IoV) environment is an emerging research theme toward achieving smart transportation. It is an evolution of the existing vehicular ad hoc network architecture due to the increasingly heterogeneous nature of the various existing networks in road traffic environments that need to be integrated. The existing literature on vehicular communication is lacking in the area of network optimization for heterogeneous network environments. In this context, this paper proposes a heterogeneous network model for IoV and service-oriented network optimization. The network model focuses on three key networking entities: vehicular cloud, heterogeneous communication, and smart use cases as clients. Most traffic-related data–oriented computations are performed at cloud servers for making intelligent decisions. The connection component enables handoff-centric network communication in heterogeneous vehicular environments. The use-case-oriented smart traffic services are implemented as clients for the network model. The model is tested for various service-oriented metrics in heterogeneous vehicular communication environments with the aim of affirming several service benefits. Future challenges and issues in heterogeneous IoV environments are also highlighted. MDPI 2022-02-07 /pmc/articles/PMC8840583/ /pubmed/35161992 http://dx.doi.org/10.3390/s22031247 Text en © 2022 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
Khasawneh, Ahmad M.
Helou, Mamoun Abu
Khatri, Aanchal
Aggarwal, Geetika
Kaiwartya, Omprakash
Altalhi, Maryam
Abu-ulbeh, Waheeb
AlShboul, Rabah
Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
title Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
title_full Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
title_fullStr Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
title_full_unstemmed Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
title_short Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
title_sort service-centric heterogeneous vehicular network modeling for connected traffic environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840583/
https://www.ncbi.nlm.nih.gov/pubmed/35161992
http://dx.doi.org/10.3390/s22031247
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