Batta, K.B.Rao, G.V.Murthy, Y.V.S.2026-02-06201812th INDIACom; 5th International Conference on "Computing for Sustainable Global Development", INDIACom 2018, 2018, Vol., , p. 4969-4972https://doi.org/https://idr.nitk.ac.in/handle/123456789/31712In this work, an effort has been done on two important objectives of wireless sensor networks (WSNs) such as optimization of the energy consumption and lifetime. Since these two objectives have lot of impact on producing quality services in wireless networks, these two are considered and the solution is identified through clustering based models. Cluster information is maintained with the as it is appropriate solution for both the objectives. Also, experimentation is done using multi-point crossover genetic algorithm (GA) approach to optimize the time to transmit the information as well as to improvise the life time of a sensor node. Improvised efficiency is found with this effort and the results are compared with existing LEACH and GA using single point crossover techniques. Copy Right © INDIACom-2018.Cluster based modelsEnergy optimizationGenetic algorithmTime reduction process in WSNWireless sensor network