- Robin Abraham
Sathyabama Institute of Science and Technology, Chennai, India.
- M. Vadivel
Vidya Jyothi Institute of Technology
Improved Energy Efficiency by Swarm Based algorithms and Chicken Swarm Optimization routing in Wireless Sensor Networks
Energy utilization and inadequacy of sensor node is considered as a major drawback in wireless sensor networks (WSNs). Because sensor nodes use battery for recharging energy. To overcome this issue WSN utilized clustering-routing algorithm. This protocol divides the adjacent sensor nodes into separate clusters in order to choose a cluster head. So, that the cluster head gathers information from whole clusters then transmit to the base station. In this article the proposed method used cluster-based routing protocols to enhance energy efficiency and network lifetime. Moreover, this paper follows three stages to maximize energy efficiency. Initially, clustering process is done by dolphin swarm optimization (DSO) where a group of clusters are formed. Then the second stage composed of cluster head selection among group of clusters by elephant herding optimization (EHO) strategy. Finally, the collected data are necessary to forward to the base station for transferring the information. A specified path (routing) is selected by chicken swarm optimization (CSO). By using these algorithms, the network nodes support the balance of energy utilization. Experimental analysis proves when evaluated with existing methods the proposed technique has improved energy efficiency with increase in network lifetime.