To manage complex networks, current land-based routing protocol (static) sensor networks need to periodically update the routing information, which introduces important overheads in the routing. The basic UWSN body is organized by acoustic wireless sensors, which are deployed underwater, with one or more sinks on the surface of the sea. The sensor nodes, unlike the sink nodes, suffer from energy restriction, along with other constraints [1, 2, 3]. The sink usually has fewer power constraints, but the battery life of the acoustic sensors is limited [4, 5]. The task of a sink on the surface of the sea is to collect information (useful data) and to forward it for further processing using a radio connection to the fusion centers. The sinks and the GPS module are fitted with sound and radio modems. In UWSNs, a mutual routing or the harvesting small quantities of energy from ambient sources are also addressed. Energy harvesting (EH) is a process for collecting some energy from the ambient source and feeding the sensor node regularly, in order to keep the network alive indefinitely. The successful use of EH demands that the harvesting method be integrated into the style of the network. All underwater wireless acoustic systems suffer from the above mentioned problems [6]. Different routing approaches, such as localization-based (Vector-Based Forwarding (VBF), Hope-by-Hope Vector-Based Forwarding (HHVBF), Directional Flooding-based routing, etc.) and localization-free (Depth-Based Routing (DBR), Hop-by-Hop Dynamic Addressing-Based (H2-DAB)) routing protocols are known as underwater energy efficient routing protocols. The nodes understand their own and neighboring geographical positions in localization-based routing protocols, while free nodes depend only on the depth of their own and neighboring nodes in localization [7, 8]. The positions of the nodes are not set, due to the motion of the water currents, and so UWSNs have a dynamic topology. In view of the design of dynamic topology, regional routing is more focused, rather than free localization routing. It is also useful that it enables selective geo-opportunistic forwarding, in addition to the above mentioned advantages. There is also a cluster approach, where different nodes combine with each other and make a group of nodes, called a cluster, which collaborate and forward the packet to the destination node. Therefore, from this we can say that the techniques used for different types of routing are more costly to figure out the route in UWSNs, but it is the duty of the nodes to route the data to the destination. For transfer in the UWSN, the nodes need more energy than data receipt. In order to minimize energy consumption and to increase the lifespan of the network, the transmission number must also be decreased. Equalizing the energy consumption between nodes; that is, splitting the workload on different sensors nodes to route the data from source to destination, is one of the major challenges for the researcher. Among other UWSN problems, maximum end-to-end delay, multipath fading, and mobility problems are the most troublesome. In the literature, courier nodes (nodes used only to transmit data packets) and the optimal cost function for weight computations are used for energy balancing for sensor nodes. In addition, energy consumption can be minimized by using proper coordination between the nodes [5]. For data collection, there are various structures that may have static or mobile sinks. Nodes that are closer to the sink absorb their energy quickly in static schemes, and become the main cause of disconnection for a portion of the network or for the whole network [9]. In the Sensor Equipped Aquatic architecture, every sensor node analyzes the nearby underwater activities and routes the necessary information using multi-hop routing to the sink node. The author in [10] presents a MAC protocol for acoustic communications between the nodes, based on a self-organized time division multiple access mechanism.