Significant issues in underwater sensor networks are fuel-efficient organization and are highly dependable communication and the multipath transfer devices that are caused by restricted battery power of the underwater sensor network node within stiff groundwater environments. Internet of Things allows groundwater sensor schemes to independently monitor and gather data from aquatic habitats. For groundwater wireless communication between the nodes, an acoustic channel will be currently determined as the most feasible technology for these networks. By utilizing acoustic modems, groundwater nodes of the sensor which are competent in sensing the field of eagerness independently and collaboratively and the report collect information to the center for monitoring over multiple hops groundwater communication that is wireless. Anyway, groundwater wireless communication over the audile channel is discouraging, limited bandwidth, shadowing zones, multipath propagation, variable and high delay, cost high for energy, and noisy environment leads to short the IoT use in groundwater. This article, based upon IoT application, integrates three major techniques that are meant for directing Transmission Power-based Sparsity-conscious Fuel-Efficient Clustering in Underwater Sensor Networks. They integrate robust energy control mechanism which persuades appropriate Transmission Power Level , places collusion mobile drops or the Autonomous Underwater Vehicles collects the details regionally for achieving the data management productivity (Security) and energy at WSN. The recommended formality considers the link attribute, density of the neighborhood, advancement of the packet, waste energy to select appropriate transferal energy levels at every sensor node. Therefore, every neighboring node suitable to pursue boosting the data packet will be considered as next-hop booster node supposing inclusion in this next-hop nodes applicant set will not improve the power waste in that considered hop. Statistical solutions showed that the recommended protocol increases the rate of delivery of the data when maintains the energy cost at a lower level.