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Cauchy density-based algorithm for VANETs clustering in 3D road environments

Vehicular ad hoc networks (VANETs) are emerging to serve various types of applications for serving smart cities and intelligent transportation systems. There are several challenging factors for ensuring reliable and stable VANETs communications. VANETs clustering is essential functionality to serve...

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Main Authors: Jubair, Mohammed Ahmed, Ahmad, Mohd Riduan, Abdul Aziz, Izzatdin, Al-Obaidi, Ahmed Salih, Al-Tickriti, Abdullah Talaat, Hassan, Mustafa Hamid, Mostafa, Salama A., Mahdin, Hairulnizam
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26355/2/AHMED%20MAHDI.PDF
http://eprints.utem.edu.my/id/eprint/26355/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9812475
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spelling my.utem.eprints.263552023-03-28T14:08:12Z http://eprints.utem.edu.my/id/eprint/26355/ Cauchy density-based algorithm for VANETs clustering in 3D road environments Jubair, Mohammed Ahmed Ahmad, Mohd Riduan Abdul Aziz, Izzatdin Al-Obaidi, Ahmed Salih Al-Tickriti, Abdullah Talaat Hassan, Mustafa Hamid Mostafa, Salama A. Mahdin, Hairulnizam Vehicular ad hoc networks (VANETs) are emerging to serve various types of applications for serving smart cities and intelligent transportation systems. There are several challenging factors for ensuring reliable and stable VANETs communications. VANETs clustering is essential functionality to serve routing protocols and enable reliable VANETs. Clustering algorithms for VANETs operate in a decentralized mode, which requires incorporating additional stages before deciding the clustering decisions and might create sub-optimality due to the local nature of the decentralized approach. In addition, the challenging architecture of the road environment can cause confusing clustering decisions. This problem becomes more challenging due to the evolving nature of clusters in VANETs in general and in 3D VANETs in particular. This paper attempts to solve the problem of VANETs in 3D road environments using a centralized clustering technique to develop a Cauchy density model. The model has been simulated by considering several simulation parameters including traffic, mobility, driving behavior, and road curvature. The simulator also includes an adjacency list that defines the road's points and straight-line segments. The clustering technique of the Cauchy density model determines the mobility vector to enable adding vehicles to their respective clusters. The simulator has been implemented in MATLAB to perform complex scenarios in three locations of 3D road environments. A comparison with selected benchmarks shows the superiority of our model over the benchmarks models in which our model achieves an improvement percentage of 1%, 10%, and 3% for average cluster head duration, average cluster member duration, and clustering efficiency, respectively. Institute of Electrical and Electronics Engineers Inc. 2022-07 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26355/2/AHMED%20MAHDI.PDF Jubair, Mohammed Ahmed and Ahmad, Mohd Riduan and Abdul Aziz, Izzatdin and Al-Obaidi, Ahmed Salih and Al-Tickriti, Abdullah Talaat and Hassan, Mustafa Hamid and Mostafa, Salama A. and Mahdin, Hairulnizam (2022) Cauchy density-based algorithm for VANETs clustering in 3D road environments. IEEE Access, 10. pp. 76376-76385. ISSN 2169-3536 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9812475 10.1109/ACCESS.2022.3187698
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Vehicular ad hoc networks (VANETs) are emerging to serve various types of applications for serving smart cities and intelligent transportation systems. There are several challenging factors for ensuring reliable and stable VANETs communications. VANETs clustering is essential functionality to serve routing protocols and enable reliable VANETs. Clustering algorithms for VANETs operate in a decentralized mode, which requires incorporating additional stages before deciding the clustering decisions and might create sub-optimality due to the local nature of the decentralized approach. In addition, the challenging architecture of the road environment can cause confusing clustering decisions. This problem becomes more challenging due to the evolving nature of clusters in VANETs in general and in 3D VANETs in particular. This paper attempts to solve the problem of VANETs in 3D road environments using a centralized clustering technique to develop a Cauchy density model. The model has been simulated by considering several simulation parameters including traffic, mobility, driving behavior, and road curvature. The simulator also includes an adjacency list that defines the road's points and straight-line segments. The clustering technique of the Cauchy density model determines the mobility vector to enable adding vehicles to their respective clusters. The simulator has been implemented in MATLAB to perform complex scenarios in three locations of 3D road environments. A comparison with selected benchmarks shows the superiority of our model over the benchmarks models in which our model achieves an improvement percentage of 1%, 10%, and 3% for average cluster head duration, average cluster member duration, and clustering efficiency, respectively.
format Article
author Jubair, Mohammed Ahmed
Ahmad, Mohd Riduan
Abdul Aziz, Izzatdin
Al-Obaidi, Ahmed Salih
Al-Tickriti, Abdullah Talaat
Hassan, Mustafa Hamid
Mostafa, Salama A.
Mahdin, Hairulnizam
spellingShingle Jubair, Mohammed Ahmed
Ahmad, Mohd Riduan
Abdul Aziz, Izzatdin
Al-Obaidi, Ahmed Salih
Al-Tickriti, Abdullah Talaat
Hassan, Mustafa Hamid
Mostafa, Salama A.
Mahdin, Hairulnizam
Cauchy density-based algorithm for VANETs clustering in 3D road environments
author_facet Jubair, Mohammed Ahmed
Ahmad, Mohd Riduan
Abdul Aziz, Izzatdin
Al-Obaidi, Ahmed Salih
Al-Tickriti, Abdullah Talaat
Hassan, Mustafa Hamid
Mostafa, Salama A.
Mahdin, Hairulnizam
author_sort Jubair, Mohammed Ahmed
title Cauchy density-based algorithm for VANETs clustering in 3D road environments
title_short Cauchy density-based algorithm for VANETs clustering in 3D road environments
title_full Cauchy density-based algorithm for VANETs clustering in 3D road environments
title_fullStr Cauchy density-based algorithm for VANETs clustering in 3D road environments
title_full_unstemmed Cauchy density-based algorithm for VANETs clustering in 3D road environments
title_sort cauchy density-based algorithm for vanets clustering in 3d road environments
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://eprints.utem.edu.my/id/eprint/26355/2/AHMED%20MAHDI.PDF
http://eprints.utem.edu.my/id/eprint/26355/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9812475
_version_ 1761623116193202176
score 13.211869

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