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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Main Authors: Ahmad M. Khasawneh, Mamoun Abu Helou, Aanchal Khatri, Geetika Aggarwal, Omprakash Kaiwartya, Maryam Altalhi, Waheeb Abu-ulbeh, Rabah AlShboul
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/1247
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author Ahmad M. Khasawneh
Mamoun Abu Helou
Aanchal Khatri
Geetika Aggarwal
Omprakash Kaiwartya
Maryam Altalhi
Waheeb Abu-ulbeh
Rabah AlShboul
author_facet Ahmad M. Khasawneh
Mamoun Abu Helou
Aanchal Khatri
Geetika Aggarwal
Omprakash Kaiwartya
Maryam Altalhi
Waheeb Abu-ulbeh
Rabah AlShboul
author_sort Ahmad M. Khasawneh
collection DOAJ
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 doaj.art-e836ff76f467445b9f418f007ea48f422023-11-23T17:52:52ZengMDPI AGSensors1424-82202022-02-01223124710.3390/s22031247Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic EnvironmentsAhmad M. Khasawneh0Mamoun Abu Helou1Aanchal Khatri2Geetika Aggarwal3Omprakash Kaiwartya4Maryam Altalhi5Waheeb Abu-ulbeh6Rabah AlShboul7Department of Cybersecurity, Amman Arab University, Amman 11953, JordanFaculty of Information Technology, Al Istiqlal University, Jericho 4728, PalestineDepartment of Computer Science, Sat Jinda Kalyana PG College, Kalanaur 124113, Haryana, IndiaSchool of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UKSchool of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UKDepartment of Management Information System, College of Business Administration, Taif University, P.O. BOX 11.99, Taif 21944, Saudi ArabiaFaculty of Information Technology, Al Istiqlal University, Jericho 4728, PalestineComputer Science Department, Faculty of Information Technology, Al al-Bayt University, Mafraq 25113, JordanHeterogeneous 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.https://www.mdpi.com/1424-8220/22/3/1247heterogeneous vehicular communicationInternet of connected vehiclesvehicular ad hoc networksheterogeneous networkingInternet of Things
spellingShingle Ahmad M. Khasawneh
Mamoun Abu Helou
Aanchal Khatri
Geetika Aggarwal
Omprakash Kaiwartya
Maryam Altalhi
Waheeb Abu-ulbeh
Rabah AlShboul
Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments
Sensors
heterogeneous vehicular communication
Internet of connected vehicles
vehicular ad hoc networks
heterogeneous networking
Internet of Things
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 heterogeneous vehicular communication
Internet of connected vehicles
vehicular ad hoc networks
heterogeneous networking
Internet of Things
url https://www.mdpi.com/1424-8220/22/3/1247
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