Novel Clustering Method Based on K-Medoids and Mobility Metric

TitleNovel Clustering Method Based on K-Medoids and Mobility Metric
Publication TypeJournal Article
Year of Publication2018
AuthorsHamzaoui, Y., M. Amnai, A. Choukri, and Y. Fakhri
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume5
Number1
Date Published06/2018
Pagination29-33
Abstract

The structure and constraint of MANETS influence negatively the performance of QoS, moreover the main routing protocols proposed generally operate in flat routing. Hence, this structure gives the bad results of QoS when the network becomes larger and denser. To solve this problem we use one of the most popular methods named clustering. The present paper comes within the frameworks of research to improve the QoS in MANETs. In this paper we propose a new algorithm of clustering based on the new mobility metric and K-Medoid to distribute the nodes into several clusters. Intuitively our algorithm can give good results in terms of stability of the cluster, and can also extend life time of cluster head.

KeywordsClustering, K-medoids, MANETs, Mobility
DOI10.9781/ijimai.2017.11.001
URLhttp://www.ijimai.org/journal/sites/default/files/files/2017/11/ijimai_5_1_3_pdf_41024.pdf
AttachmentSize
ijimai_5_1_3.pdf762.75 KB