Energy Efficient Cluster based Routing using Modified Firefly Optimization Algorithm for Underwater Wireless Sensor Network

Abstract

Underwater Wireless Sensor Network (UWSN) comprises an enormous number of sensor hubs for monitoring and data collection operation under the water environment.The sensor hubs deployed in the water are battery-powered.The recharging or replacement of the battery in a fierce underwater environment is a troublesome assignment. The constrained energy resources are a significant issue for dependable information conveyance in UWSN. Traditional transmission techniques in UWSN increments the transmission overhead, i.e., the packet collision, which affects the data transmission.To minimize the energy consumption, an energy-efficient routing protocol has been required.To overcome the energy constraint issues in UWSN, anenergy efficientcluster based routing using modified Firefly Optimization Algorithm for UWSN (FOA-UWSN) is introduced. In this paper, the K-means algorithm is utilized forperforming the clustering operation. An optimal Cluster Head (CH) selection is achieved by introducing the modified Firefly Optimization Algorithm (FOA) and the routing process is performed by using FOA with AODV protocol to obtain an optimal path for energy efficient routing. The performances of the FOA-UWSN method is analyzed in terms of End To End Delay (EED), Packet Delivery Rate (PDR), energy consumption and throughput.

The energy consumption of the FOA-UWSN method is 19J for 50 nodes and it is lesser when compared to the existing EEDG method.