01307nas a2200241   4500000000100000000000100001008004100002260001200043653001500055653001300070653001100083653001400094100001500108700001200123700001400135700001300149245006700162856009500229300001000324490000600334520071100340022001401051       2018                            d  c06/201810aClustering10aMobility10aMANETs10aK-medoids1 aY Hamzaoui1 aM Amnai1 aA Choukri1 aY Fakhri00aNovel Clustering Method Based on K-Medoids and Mobility Metric  uhttp://www.ijimai.org/journal/sites/default/files/files/2017/11/ijimai_5_1_3_pdf_41024.pdf  a29-330 v53 aThe 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.  a1989-1660