Modern Underwater Wireless Sensor Networks (UWSN) would provide big administrations with numerous underwater surveying and technical applications, working in the unstable submerged deep-water conditions. A huge obstacle in these networks is the lifetime limit. The submerged correspondence frameworks mostly employ acoustic communication today. Acoustic interchange communication offers longer ranges that are yet limited by three variables: restricted and subordinate data transmission, time-differing multi-way engendering and low speed of sound. In this paper, an AUV (Autonomous Underwater Vehicle)-assisted acoustic correspondence convention, specifically Energy Efficiency Maximization Algorithm (EEMA) has been proposed to minimize the energy consumption. Underwater sensor networks depend on the hub ceaseless operation, the restricted correspondence transmission capacity and the hub lifetime, which entails difficulties in the operation of USWN. The proposed system will enhance the lifetime by lessening the number of bounces amid sensor transmissions, which fundamentally lessens time utilization and lifetime. Dynamic AUV ways and dynamic gateway assignments will enhance lifetime – proficiency balance proportion in the submerged system. To decrease the system energy utilization with an acceptable conveyance proportion is recommended. The Experimental results show that the proposed methodology has improved the level of energy compared with related techniques.

现代水下无线传感器网络（UWSN）将为大型主管部门提供大量水下测量和技术应用程序，以在不稳定的深水条件下工作。这些网络的最大障碍是生命周期的限制。如今，淹没的通信框架大多采用声音通信。声交换通信提供了更长的距离，但受到三个变量的限制：受限制和从属的数据传输，时差的多向传播和声音速度低。在本文中，提出了一种AUV（自动水下航行器）辅助的声学对应约定，特别是能量效率最大化算法（EEMA），以最小化能耗。水下传感器网络取决于集线器的不断运行，受限制的通信传输容量和集线器寿命，这给USWN的操作带来了困难。所提出的系统将通过减少传感器传输中的跳动次数来延长使用寿命，从根本上减少了时间利用率和使用寿命。动态的AUV方式和动态的网关分配将提高水下系统的使用寿命-熟练度平衡比例。为了降低系统能量利用率，建议采用可接受的输送比例。实验结果表明，与相关技术相比，该方法提高了能量水平。从根本上减少了时间利用率和寿命。动态的AUV方式和动态的网关分配将提高水下系统的使用寿命-熟练度平衡比例。为了降低系统能量利用率，建议采用可接受的输送比例。实验结果表明，与相关技术相比，该方法提高了能量水平。从根本上减少了时间利用率和寿命。动态的AUV方式和动态的网关分配将提高水下系统的使用寿命-熟练度平衡比例。为了降低系统能量利用率，建议采用可接受的输送比例。实验结果表明，与相关技术相比，该方法提高了能量水平。