A KMeans-Genetic Based Clustering Architectur...

A KMeans-Genetic Based Clustering Architecture to Optimize WSN Communication

Author Name : Pooja, Chinar Chahar

ABSTRACT  Sensing network is the restricted real time network with smaller coverage range and energy node specification. In this architecture, complete network is divided in smaller dynamic or static regions called clusters. In this paper, the clustering method is improved in real time scenario by including two major techniques. At first level, the cluster selection procedure is improved by setting up the extra parameters as well as the decision criteria. In this stage, the degree and density analysis greedy method is applied to generate the spanning tree over the network. The selection of cluster head as the subtree head is also done in this stage. Once the cluster head and cluster members are identified. The route formulation is done using genetic approach. The implementation is done in matlab environment. The simulation results shows that the method has improved the communication and network life.