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A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs

VANETs clustering is an emerging research topic that serves in the intelligent transportation systems of today's technology. It aims at segmenting the moving vehicles in the road environment into subgroups named clusters, with cluster heads for enabling effective and stable routing. Most of the...

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Main Authors: Talib, Mohammed Saad, Abdullah, Nihad Ibrahim, Hassan, Aslinda, Abal Abas, Zuraida, Mohammed Al-Khazraji, Ali Abdul-Jabbar, Alamery, Thamer, Ibrahim, Ali Jalil
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:http://eprints.utem.edu.my/id/eprint/24912/2/A%20CENTER%20BASED%20STABLE%20EVOLVING%20CLUSTERING%20ALGO%20WITH%20GRID.PDF
http://eprints.utem.edu.my/id/eprint/24912/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9181523
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spelling my.utem.eprints.249122021-04-20T11:26:41Z http://eprints.utem.edu.my/id/eprint/24912/ A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs Talib, Mohammed Saad Abdullah, Nihad Ibrahim Hassan, Aslinda Abal Abas, Zuraida Mohammed Al-Khazraji, Ali Abdul-Jabbar Alamery, Thamer Ibrahim, Ali Jalil VANETs clustering is an emerging research topic that serves in the intelligent transportation systems of today's technology. It aims at segmenting the moving vehicles in the road environment into subgroups named clusters, with cluster heads for enabling effective and stable routing. Most of the VANETs clustering approaches are based on distributed models which make the decision of clusters creation lacking the global view of the vehicle's distribution and mobility in the environment. However, the availability of the LTE and long ranges of base station motivated researchers recently to provide center-based approaches. Unlike existing center-based clustering approaches of VANETs, this article uses the road segmenting phase named grid partitioning before providing summarized information to the clustering center. Furthermore, it presents an integrated approach as a combination of all the clustering tasks including assigning, cluster head selection, removing, and merging. Evaluation of the proposed approach named center-based evolving clustering based on grid partitioning (CEC-GP) is proven superior from the perspective of efficiency, stability, and consistency. An improvement percentage of the efficiency in (CEC-GP) over the benchmarks Center based stable clustering (CBSC) and evolving data clustering algorithm (EDCA) is 65% and 394% respectively. Institute of Electrical and Electronics Engineers Inc. 2020-08 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24912/2/A%20CENTER%20BASED%20STABLE%20EVOLVING%20CLUSTERING%20ALGO%20WITH%20GRID.PDF Talib, Mohammed Saad and Abdullah, Nihad Ibrahim and Hassan, Aslinda and Abal Abas, Zuraida and Mohammed Al-Khazraji, Ali Abdul-Jabbar and Alamery, Thamer and Ibrahim, Ali Jalil (2020) A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs. IEEE Access, 8. pp. 169908-169921. ISSN 2169-3536 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9181523 10.1109/ACCESS.2020.3020510
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 VANETs clustering is an emerging research topic that serves in the intelligent transportation systems of today's technology. It aims at segmenting the moving vehicles in the road environment into subgroups named clusters, with cluster heads for enabling effective and stable routing. Most of the VANETs clustering approaches are based on distributed models which make the decision of clusters creation lacking the global view of the vehicle's distribution and mobility in the environment. However, the availability of the LTE and long ranges of base station motivated researchers recently to provide center-based approaches. Unlike existing center-based clustering approaches of VANETs, this article uses the road segmenting phase named grid partitioning before providing summarized information to the clustering center. Furthermore, it presents an integrated approach as a combination of all the clustering tasks including assigning, cluster head selection, removing, and merging. Evaluation of the proposed approach named center-based evolving clustering based on grid partitioning (CEC-GP) is proven superior from the perspective of efficiency, stability, and consistency. An improvement percentage of the efficiency in (CEC-GP) over the benchmarks Center based stable clustering (CBSC) and evolving data clustering algorithm (EDCA) is 65% and 394% respectively.
format Article
author Talib, Mohammed Saad
Abdullah, Nihad Ibrahim
Hassan, Aslinda
Abal Abas, Zuraida
Mohammed Al-Khazraji, Ali Abdul-Jabbar
Alamery, Thamer
Ibrahim, Ali Jalil
spellingShingle Talib, Mohammed Saad
Abdullah, Nihad Ibrahim
Hassan, Aslinda
Abal Abas, Zuraida
Mohammed Al-Khazraji, Ali Abdul-Jabbar
Alamery, Thamer
Ibrahim, Ali Jalil
A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
author_facet Talib, Mohammed Saad
Abdullah, Nihad Ibrahim
Hassan, Aslinda
Abal Abas, Zuraida
Mohammed Al-Khazraji, Ali Abdul-Jabbar
Alamery, Thamer
Ibrahim, Ali Jalil
author_sort Talib, Mohammed Saad
title A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
title_short A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
title_full A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
title_fullStr A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
title_full_unstemmed A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
title_sort center-based stable evolving clustering algorithm with grid partitioning and extended mobility features for vanets
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url http://eprints.utem.edu.my/id/eprint/24912/2/A%20CENTER%20BASED%20STABLE%20EVOLVING%20CLUSTERING%20ALGO%20WITH%20GRID.PDF
http://eprints.utem.edu.my/id/eprint/24912/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9181523
_version_ 1698700617069887488
score 13.211869

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