Wireless sensors are used to acquire the data from different environments such civilian applications, military, tracking, seismic measurements and monitoring applications in order to take necessary actions or to prevent the disasters, to do so all sensors consumes more energy. Since, the sensor is a battery operated device the lifetime of each sensor is reduced. Therefore effective cluster formation and routing is needed to prevent the sensor node to die earlier. The existing approach consumes excess energy during routing. This was due to increased overhead on the cluster head that has to perform all the work. The proposed work introduces a technique named as Honey Bee Optimization that aims to reduce the energy consumption by finding an optimal route with low cost. The proposed approach is to extend the lifetime of a network and throughput and it delivers better performance than existing method in terms of the energy efficiency, link quality, and scalability. Hence, we build the energy clusters by the biologically inspired efficient searching features of the artificial bee colony approach. The experimental verification of this technique is planned to be carried out on MatLab. © 2017 IEEE.