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A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs

Vehicles in Vehicular Ad-hoc Networks (VANETs) are characterized by their high dynamic mobility (velocity). Changing in VANET topology is happened frequently which caused continuous network communication failures. Clustering is one of the solutions applied to reduce the VANET topology changes. Stabl...

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Main Authors: Talib, Mohammed Saad, Hassan, Aslinda, Hussin, Burairah, Abal Abas, Zuraida, Saad Talib, Zaniab, Rasoul, Zainab Sabah
Format: Article
Language:English
Published: The Science And Information (SAI) Organization Limited 2018
Subjects:
Q Science (General)
QA76 Computer software
Online Access:http://eprints.utem.edu.my/id/eprint/22790/2/Paper_34-A_Novel_Stable_Clustering_Approach.pdf
http://eprints.utem.edu.my/id/eprint/22790/
http://thesai.org/Downloads/Volume9No4/Paper_34-A_Novel_Stable_Clustering_Approach.pdf
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spelling my.utem.eprints.227902021-08-23T09:04:04Z http://eprints.utem.edu.my/id/eprint/22790/ A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs Talib, Mohammed Saad Hassan, Aslinda Hussin, Burairah Abal Abas, Zuraida Saad Talib, Zaniab Rasoul, Zainab Sabah Q Science (General) QA76 Computer software Vehicles in Vehicular Ad-hoc Networks (VANETs) are characterized by their high dynamic mobility (velocity). Changing in VANET topology is happened frequently which caused continuous network communication failures. Clustering is one of the solutions applied to reduce the VANET topology changes. Stable clusters are required and Indispensable to control, improve and analyze VANET. In this paper, we introduce a new analytical VANET's clustering approach. This approach aims to enhance the network stability. The new proposed grouping process in this study depends on the vehicles velocities mean and standard deviation. The principle of the normal (Gaussian) distribution is utilized and emerged with the relative velocity to propose two clustering levels. The staying duration of vehicles in a cluster is also calculated and used as an indication. The first level represents a very high stabile cluster. To form this cluster, only the vehicles having velocities within the range of mean ± standard deviation, collected in one cluster (i.e. only 68% of the vehicles allowed to compose this cluster). The cluster head is selected from the vehicles having velocities close to the average cluster velocity. The second level is to create a stable cluster by grouping about 95% of the vehicles. Only the vehicles having velocities within the range of mean ± 2 standard deviation are collected in one cluster. This type of clustering is less stable than the first one. The analytical analysis shows that the stability and the staying duration of vehicles in the first clustering approach are better than their values in the second clustering approach. The Science And Information (SAI) Organization Limited 2018 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/22790/2/Paper_34-A_Novel_Stable_Clustering_Approach.pdf Talib, Mohammed Saad and Hassan, Aslinda and Hussin, Burairah and Abal Abas, Zuraida and Saad Talib, Zaniab and Rasoul, Zainab Sabah (2018) A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs. International Journal Of Advanced Computer Science And Applications (IJASCA), 9 (4). pp. 216-220. ISSN 2158-107X http://thesai.org/Downloads/Volume9No4/Paper_34-A_Novel_Stable_Clustering_Approach.pdf 10.14569/IJACSA.2018.090434
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
topic Q Science (General)
QA76 Computer software
spellingShingle Q Science (General)
QA76 Computer software
Talib, Mohammed Saad
Hassan, Aslinda
Hussin, Burairah
Abal Abas, Zuraida
Saad Talib, Zaniab
Rasoul, Zainab Sabah
A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs
description Vehicles in Vehicular Ad-hoc Networks (VANETs) are characterized by their high dynamic mobility (velocity). Changing in VANET topology is happened frequently which caused continuous network communication failures. Clustering is one of the solutions applied to reduce the VANET topology changes. Stable clusters are required and Indispensable to control, improve and analyze VANET. In this paper, we introduce a new analytical VANET's clustering approach. This approach aims to enhance the network stability. The new proposed grouping process in this study depends on the vehicles velocities mean and standard deviation. The principle of the normal (Gaussian) distribution is utilized and emerged with the relative velocity to propose two clustering levels. The staying duration of vehicles in a cluster is also calculated and used as an indication. The first level represents a very high stabile cluster. To form this cluster, only the vehicles having velocities within the range of mean ± standard deviation, collected in one cluster (i.e. only 68% of the vehicles allowed to compose this cluster). The cluster head is selected from the vehicles having velocities close to the average cluster velocity. The second level is to create a stable cluster by grouping about 95% of the vehicles. Only the vehicles having velocities within the range of mean ± 2 standard deviation are collected in one cluster. This type of clustering is less stable than the first one. The analytical analysis shows that the stability and the staying duration of vehicles in the first clustering approach are better than their values in the second clustering approach.
format Article
author Talib, Mohammed Saad
Hassan, Aslinda
Hussin, Burairah
Abal Abas, Zuraida
Saad Talib, Zaniab
Rasoul, Zainab Sabah
author_facet Talib, Mohammed Saad
Hassan, Aslinda
Hussin, Burairah
Abal Abas, Zuraida
Saad Talib, Zaniab
Rasoul, Zainab Sabah
author_sort Talib, Mohammed Saad
title A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs
title_short A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs
title_full A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs
title_fullStr A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs
title_full_unstemmed A Novel Stable Clustering Approach Based On Gaussian Distribution And Relative Velocity In VANETs
title_sort novel stable clustering approach based on gaussian distribution and relative velocity in vanets
publisher The Science And Information (SAI) Organization Limited
publishDate 2018
url http://eprints.utem.edu.my/id/eprint/22790/2/Paper_34-A_Novel_Stable_Clustering_Approach.pdf
http://eprints.utem.edu.my/id/eprint/22790/
http://thesai.org/Downloads/Volume9No4/Paper_34-A_Novel_Stable_Clustering_Approach.pdf
_version_ 1709671905148010496
score 13.211869

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