Clustering is a blooming topology control methodology, which can extend the lifetime and upturn scalability for wireless sensor networks. The admired principles for clustering procedure are to select cluster heads with additional residual energy and to interchange them occasionally. Sensors at substantial traffic locations swiftly exhaust their energy resources and expire much earlier, leaving behind energy hole and network barrier. Clustering goes behind some advantages like network scalability, localizing route setup, using communication bandwidth efficiently and takes the advantage of network lifetime. By the data aggregation procedure, needless communication between sensor nodes, cluster head and the base station is eluded. An evaluation of energy efficient optical low energy adaptive clustering hierarchy (O-LEACH) has been performed and the enactments have been compared with the prevailing low energy adaptive clustering hierarchy (LEACH) algorithm, between two detached wireless sensor network fields. O-LEACH procedure has been primarily implemented to join two distinct wireless sensor fields. An optical fiber is used to join two reserved wireless sensor fields. This distributed clustering methodology chiefly targets in exploiting the parameters like network lifetime, throughput and energy efficiency of the whole wireless sensor system.