Qualification Level Analyzation for Cluster Head

The wireless sensor networks combines sensing, computation, and communication into a single small device. These devices depend on battery power and may be placed in hostile environments replacing them becomes a tedious task. Thus improving the energy of these networks becomes important. Clustering in wireless sensor network looks several challenges such as selection of an optimal group of sensor nodes as cluster, energy is the most important consideration because the life time of the sensor node is limited by the battery it utilizes. Clustering is a separation of data into groups of similar objects. Each group called cluster consists of objects that are similar between themselves and dissimilar to objects of other groups. Cluster head is selected using fuzzy logic. By using fuzzy logic the qualification level of each sensor node being cluster head is elected. Simulation is carried out in mat lab and the performance is analyzed for various qualification levels.