ENHANCING THE STABILITY OF UNDERWATER WIRELESS SENSOR NETWORKS USING FIREFLY SWARM INTELLIGENCE APPROACH

Abstract

The wireless sensor networks have become a vital part of environmental monitoring and prediction. These sensors identify the changes that take place around the area where it is deployed and transmit the sensed data to the base station it is connected. The main drawback of the wireless sensor networks is they are remotely installed and are prone to frequent failures and mass collapse. In this paper we propose a clustering technique based on the Firefly Swarm Intelligence Approach (FSIA) to improve the stability of the Under Water Wireless Sensor Networks (UWSN). 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.