Underwater connectivity has been a leading field of study in undersea navigation, deep-sea investigation and autonomous underwater vehicle control (AUVs). Because of the low attenuation (signal reduction) of sound in water, acoustic communication is the most versatile and broadly used tool in underwater network. Factors such as long propagation delay, restricted usable bandwidth, large Doppler range, time-varying channel conditions, pressure and various salinity conditions make the application of the underwater acoustic communication (UWAC) system difficult. Underwater naval monitoring and underwater exploration are the basic uses of Underwater Wireless Sensor Networks (UWSN). The outline of sensor networks has been resurrected into a new age of global physical object tracking with the latest advancement of innovation. This advances in design paved the way for new unopened insider information to be revealed in the area of underwater ecosystems, deep water conditions and discovery of ice sheets. This work provides a proficient packet transmitting technique in a selective frequency to increase the coverage, synchronisation and connectivity between sensor AUVs that are under secluded ocean contour observation. The theoretical model is used to represent the complex dynamics in the sea. Taking into account all the channel properties below the sea, the channel model was created. The AUVs are connected to a cluster-based network and the 3-D location of the AUVs is transmitted using an appropriate depth-based cluster-based routing protocol (DB-CBRP). Through choosing the optimal frequency for the transmission of routing packets, the network's total life is extended with the least delay in routing. As a result of its strength against overly reduced transmission capability and recurrence reuse, the CBRP approach is used to restrict channel impairments. The simulation results of the proposed algorithm reveal that the surveillance AUVs have greater communication, coverage and share their position with each other.

水下连通性一直是水下导航，深海调查和自主水下航行器控制（AUV）的研究领域的领先领域。由于水中声音的衰减（信号衰减）低，因此声学通信是水下网络中功能最广泛且使用最广泛的工具。诸如长的传播延迟，可用带宽受限，多普勒范围大，时变信道条件，压力和各种盐度条件等因素使水下声通信（UWAC）系统的应用变得困难。水下海军监视和水下探索是水下无线传感器网络（UWSN）的基本用途。随着创新的最新发展，传感器网络的轮廓已复活到全球物理对象跟踪的新时代。设计的进步为在水下生态系统，深水条件和冰盖发现领域揭示新的未公开内部信息铺平了道路。这项工作在选择的频率下提供了一种熟练的数据包传输技术，以增加在偏僻的海洋轮廓线观测下的传感器AUV之间的覆盖范围，同步性和连通性。理论模型用于表示海洋中的复杂动力。考虑到海底的所有通道属性，创建了通道模型。AUV连接到基于群集的网络，并且使用适当的基于深度的基于群集的路由协议（DB-CBRP）传输AUV的3-D位置。通过选择传输路由数据包的最佳频率，网络 的总寿命得以延长，布线延迟最小。由于其抗过度降低的传输能力和递归重用的优势，CBRP方法用于限制信道损害。所提算法的仿真结果表明，监视自动水下航行器具有更大的通信范围和覆盖范围，并且彼此共享位置。