Novel Clustering Method Based on K-Medoids and Mobility Metric

Authors

Y Hamzaoui
M Amnai
A Choukri
Y Fakhri

DOI

10.9781/ijimai.2017.11.001

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.

Source Publication

International Journal of Interactive Multimedia and Artificial Intelligence

Recommended Citation

Hamzaoui, Y; Amnai, M; Choukri, A; and Fakhri, Y (2018) "Novel Clustering Method Based on K-Medoids and Mobility Metric," International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 5: Iss. 1, Article 11.
DOI: 10.9781/ijimai.2017.11.001
Available at: https://ijimai.researchcommons.org/ijimai/vol5/iss1/11