Energy Efficient Clustering Based Routing Technique in WSN using Brain Storm Optimization

In Wireless Sensor Networks (WSNs), clustering has continued to be one of the most informed concerns when it comes to the lifetime of the network. However, we cannot study routing without considering effective clustering measures to optimize such problem in WSNs. The form of energy model used is identified to be the main supplier of consumed energy in WSN. The Brain Storm Optimization (BSO) is a swarm intellectual formulation that can achieve results to a problem more suitably. In this paper, the proposed approach is called Energy Efficient Clustering-Brain Storm Optimization (EEC-BSO). Furthermore, improved BSO technique is applied to obtain the best cluster centers (heads) that can amplify energy efficiency, coverage percentage and packet data rate. In addition, we explored an energy consumption model based on cluster transmission with an exact WSN. Simulation results demonstrate that the proposed protocol overcomes the others successfully.