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Abstract—Wireless sensor Networks are often used for monitoring and sensing the various environmental conditions. It is collection of sensor nodes which are provided with a fixed battery. Millions of sensor nodes are scattered to monitor smart grids, which consume huge amount of energy. In Wireless sensor network energy wastage is more due to high latency and in-network processing. The only way to enhance the lifetime of the sensor is to reduce the power consumption and support good scalability and collision avoidance. To minimize the energy consumption of the nodes that appropriate algorithm has to be used to make node communicative. Major research challenges of WSN are network lifetime, fault tolerance, power consumption. Therefore there is a need of establishment of energy efficient protocol. This work proposes a customized approach to optimize the energy consumption in wireless sensor network using k-means clustering algorithm and back propagation algorithm.