PERFORMANCE ANALYSIS OF WSN USING DIFFERENT CLUSTERING TECHNIQUES

Abstract

The wireless sensor network refers to a group of spatially distributed and dedicated sensors for monitoring and recording the physical conditions of environment like temperature, humidity, pollution levels, sound, wind speed with direction and pressure. The sensors are self powered nodes which also possess limited processing capabilities and the nodes communicate wirelessly through a gateway. 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), different-different numbers of node 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).