One of the challenging issues to be studied in WSN is its energy saving so as to extend lifetime. The primary goal of node clustering is network preprocessing that is used to obtain information and limit energy consumed. To support high adaptability and better accumulation of information data, sensor nodes are often grouped into disconnected, non-overlapping batches, groups of nodes called clusters. Clusters design hierarchical WSNs which incorporate adequate performance of finite reserves of sensor nodes and thus enhance network lifetime. In this paper, different clustering algorithm is compared having different cluster head selection approach.