An Enhanced Maximum Stability Weighted Clustering Algorithm in Ad Hoc Network
Yang Tao, Jian Wang, Yali Wang, Tao Sun · 2008
Ad hoc network does not depend on any fixed infrastructure, and its main features are no central structure and the rapid dynamic change. This paper presents the enhanced maximum stability weighted clustering algorithm (EMSWCA), based on the WCA and the MSWCA algorithm. The EMSWCA explicitly identifies the maximum load parameters of clusters, accelerates the convergence speed, and provide a certain degree of QOS. In addition, the simulation experiment proves superiority of the EMSWCA than the WCA and the MSWCA.