• Sapna Chandrakar
• Minu Choudhary

The system lifetime can be amplified if the correspondence between sensor hubs in the WSN is diminished. Reserving the information close to the asking for hub will be useful to decrease the information access idleness and correspondence overhead; in this manner system lifetime will be expanded. Store hub is especially difficult when every hub of system has a constrained memory to reserve. Select the hubs that can go about as reserves and settle on solicitation sending choices and afterward we perform ideal arrangement of these store hubs in remote sensor arrange .The current methodology utilization of a multi objective hereditary calculation for reserve hub situation in remote sensor system (WSN). In this methodology GA effectively helps in selecting sensor hubs to actualize reserving and appeal sending choice .Our proposed plan is Elitism based Genetic Algorithm (EBGA), which will be select just best arrangement and dispense with the most exceedingly terrible arrangement. By utilizing EBGA the execution would be enhanced than existing approach and system life time increment. Time utilization in system for the information transforming is likewise lessened. The average latency or end to end delay improves by 7.33% and packet delivery ratio in the network by 5.55%.

Elitism; Cache Node Placement; Remote Sensor Network(WSN); Genetic Algorithm, EBGA

"Elitism Based Genetic Algorithm for Cache Node Placement in Wireless Sensor Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 7, page no.3007-3013, July-2015, Available :http://www.jetir.org/papers/JETIR1507003.pdf

"Elitism Based Genetic Algorithm for Cache Node Placement in Wireless Sensor Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 7, page no. pp3007-3013, July-2015, Available at : http://www.jetir.org/papers/JETIR1507003.pdf