Sensor nodes present in WSN plays its crucial role in sensing, processing and communicating data in brutal conditions. Power source like battery is required by these nodes for energy, which got sucked out in the processes like aggregation, compression and communication of sensed data. Extensive flaws seen now days are energy source constraints. After deploying nodes in nasty environment, worthwhile a battery is not rehabilitate. Therefore, proliferate usage of energy to enhance network lifetime is main issue. To clear up this trouble various clustering techniques are popularized. In clustering, sensor nodes group together to generate small clusters and CH is elected for aggregating data coming from cluster members. For large networks, hierarchical clustering model is applicable to assemble data at every cluster and transmit that processed data to the base station. This phase out repetitious data to be communicated which further curtail energy consumption. Various LEACH protocols are discussed in this review to enhance network lifetime.

The energy resource-contrived is the most difficult aspect of WSN and that energy cannot be re-charged. When every sensor node is needed to move ahead the data packet to the sink node, the problem emerges there. Through unmoving, listening and retrans-mitting, the accessible energy in every node could be lost in this procedure because of collisions as well as over-hearing. Network topology management and energy min-imization is done due to Cluster-based WSN routing pro-tocols. In clustering in WSN, sensor nodes are sorted into little disjoint clusters, where every cluster has an organizer referred as CH. In this paper, energy efficient clustering techniques related to WSNs are discussed and com-parative analysis is also performed.