Wireless sensor networks have been acquisition interest as a raised area that changes how interact with the physical world. Sensor networks are scattered event-based systems that differ from traditional communication networks in several methods: Clustering is one of the key techniques which reduce energy consumption in WSN. A large class of Wireless Sensor Networks applications involves a set of isolated urban areas (e.g. building blocks) covered by sensor nodes (SNs) monitoring environmental parameters. Mobile sinks (MSs) mounted upon urban vehicles with fixed paths provide the ideal infrastructure to effectively retrieve sensory data from such isolated WSN fields. The main objective is to reduce the overall network overhead and energy expenditure associated with the multihop data retrieval process while also ensuring balanced energy consumption among SNs and prolonged network lifetime. The various algorithms are used to partition the neighboring nodes, which will sense similar sensor nodes into one cluster and wireless sensor nodes autonomously adjust control parameters after observing its environments. This is achieved through building cluster structures consisted of member nodes that route their measured data to their assigned cluster head (CH). It does can efficiently reduce redundant data transmission of cluster Head. In this paper various method has been reported and compared. © Research India Publications.