Comb needle model for data aggregation using self-diagnose cluster in WSN

In Various situations, the emerging application is wireless sensor network in research area. The basic technique in WSN is data aggregation, for an application the aggregation is take place such as monitoring the environmental condition. Data aggregation is effective technique in terms of energy and time of data collection. In this paper, we discuss about the data get aggregate by cluster head in cluster for consumption of energy, enhancing battery and life time networking. And we use self-diagnose of Cluster Head (CH).