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

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	VANET; clustering; cluster stability; Gaussian; relative velocity; staying duration
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	22 Mar 2019 07:27
Last Modified:	23 Aug 2021 09:04
URI:	http://eprints.utem.edu.my/id/eprint/22790
Statistic Details:	View Download Statistic

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