In Internet of Things, sensors that make up sensor network, are deployed at the remote locations and to supply energy to them is burdensome. Wireless sensor network (WSN) suffers from sensor node’s energy limitations. Lifetime of each of the nodes in WSN is decided by the lifetime of the battery of the nodes. Often it is impossible to recharge or to replace the batteries. It warrants solutions and methods to save the energy of the nodes as much as possible. The important approach is to exclude those routing paths which contains the least power nodes. For this, an artificial neural network based model has been proposed for routing in WSN to improve the energy consumption in sensor network by balancing in energy consumption among the nodes in the network. Its improves the efficiency of the sensor nodes by reducing the energy consumption and thus increasing the lifetime of the sensor network. Simulation results exhibit and affirm the improvement in the lifetime of the nodes and so the lifetime of the sensor network.