An Application Oriented Integrated Unequal Clustering Algorithm for Wireless Sensor Network

Abstract

Wireless Sensor Network consists of group of interconnected devices which are used to sense and exchange the gathered data from the sensing field to understand the perceptual information of the real world. For the importance of monitoring the real world environment, this paper introduces Application Based Integrated Framework for Unequal Clustering Algorithm in WSN. In this chapter the proposed algorithms are integrated together to comprise the data aggregation, cluster formation, Cluster Head election and re-clustering for prolonging the network lifetime in both small scale and large scale application of WSN. The proposed algorithms are chosen based on the required parameters for specified applications. The result shows that the proposed algorithm selects the preeminent suited clustering algorithm for particular applications significantly