A Modified firefly swarm optimization technique to improve the efficiency of underwater wireless sensor networks

Abstract

The sensor nodes in UWSNs do not remain within the confined zone due to water currents. The sensor nodes have to be clustered in order to enable them to send and receive the collected data in their deployed environment. Clustering of sensor nodes helps the network in reducing transmission time. A grouping algorithm derived from the firefly swarm optimization (FSO) is tested to improve the stability and proximity of the underwater wireless sensor networks (UWSNs). The firefly algorithm helps in keeping the sensor nodes intact and produces fewer failures in network connectivity. The simulation results are convincing, and the same has been given at the end.