COMMUNICATION OVERHEAD AND AVERAGE ENERGY CONSUMPTION USING DIFFERENT CLUSTERING TECHNIQUES IN WSN SYSTEM

Abstract

The wireless sensor networks are interesting network to study due to the fact that large number of applications are being developed using these networks system. A wireless sensor network of the type investigated here refers to a collection of sensors, and nodes that are linked by a medium which is wireless in nature system. The clustering is an efficient technique used to achieve the specific performance requirements of large scale wireless sensor networks. We have carried out the performance analysis of clusterbased wireless sensor networks for different communication patterns. In this project are using fuzzy clustering, k-mean and self-organizing map (SOM) based clustering method. It is observed that overhead in cluster based protocol is not much dependent upon update time. Simulation a result indicates that a cluster based protocol has low communication overheads compared with the velocity based protocol. In the simulation result we consider main approaches Clustering technique (SOM, Fuzzy, K-Means), differentdifferent numbers of node (50,100 and 150) with 5 cluster. The simulation performance analysis on the based comparison of communication overhead and average energy consumption. The result shown between communications overhead versus velocity (m/s) and percentage decay rate of energy for WSN versus Velocity in (m/s).