Intelligent exhaustion rate and stability control on underwater wsn with fuzzy based clustering for efficient cost management strategies

UWSN will find packages in information series, offshore exploration, pollution monitoring, oceanographic, disaster prevention and tactical surveillance. Underwater Wi-Fi sensor networks include some of sensors and nodes that engage to perform collaborative obligations and build up data. This form of networks must require to designing electricity-green routing protocols and tough due to the fact sensor nodes are powered through batteries, and are tough to update or recharge. The underwater communications are properly decreases because of network dynamics. The aim of this paper is to expand stability and exhaustion rate of the network with proposed algorithm Single-Hop Fuzzy based Energy Efficient Routing algorithm (SH-FEER) and cluster head selection algorithm. The particle swarm optimization approach helps to perform the Cluster head selection process. The experimental result of the work is offered and compared with the present strategies which shows that clustering Single-Hop Fuzzy based Energy Efficient Routing algorithm has the better performance than other techniques.