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.

中文翻译：

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基于模糊聚类的水下WSN智能耗竭率和稳定性控制，实现有效的成本管理策略

UWSN将在信息系列，海上勘探，污染监测，海洋学，防灾和战术监视中找到软件包。水下Wi-Fi传感器网络包括一些传感器和节点，这些传感器和节点参与执行协作义务并建立数据。这种形式的网络必须要求设计绿色电路由协议，并且由于传感器节点由电池供电，并且难以更新或充电，因此非常困难。由于网络动态，水下通讯会适当减少。本文的目的是通过提出的基于单跳模糊的节能路由算法（SH-FEER）和簇头选择算法来扩展网络的稳定性和耗竭率。粒子群优化方法有助于执行簇头选择过程。提供了实验结果，并与现有策略进行了比较，结果表明聚类的基于单跳模糊的高效路由算法具有比其他技术更好的性能。