The IoUT is a network of sensors and smart devices that are placed underwater and are interconnected, which can monitor, sense, relay, and collect data from the water bodies and share the data with the base stations located in terrestrial areas. The IoUT has several applications including marine monitoring, coastal area surveillance, exploration of marine life, oil rig maintenance, defense, and so on [14; 15; 16]. The IoUT has been a predominant choice for researchers, having applications in deep sea exploration, system monitoring of divers, generating warnings, naval surveillance systems, and various other applications. IoUT devices are normally fixed or mobile with the ability to move from one location to the other to collect or transmit information using digitally linked devices installed in the water bodies. There are associated devices such as gateways, satellites, and base stations that help in expanding the communication range in such IoUT applications. The recent studies conducted by the United States National Oceanic and Atmospheric Administration (NOAA) revealed the fact that 71 percent of the Earth is covered with water [17]. IoUT devices are integrated with smart sensing devices, which have heterogeneous functionalities. Although various researchers have proposed innovative methodologies and designs to develop various IoUT applications, there exist certain challenges relevant to the type of applications, the channel types, and their characteristics. The benefits of IoT- and IoUT-based devices are numerous, yet there are challenges subject to sensor resource scarcity, wireless network stability, data security, privacy, fault resilience, and several others. The traditional solutions often fail to overcome such challenges due to the inability to handle the large volumes of data collected by the sensor devices, the huge variability in the devices being used, the lack of trust among the participants, and also, transparency issues in the management of data. Various studies have been conducted emphasizing the IoUT, its architecture, technologies, research challenges, and the scope of future research. A review of these studies is presented below. The study in [18] explored the contribution of the IoUT in monitoring vast areas of unexplored water bodies on our planet. The primary differences between the IoUT and IoT were identified in association with the presentation of a detailed IoUT architectural framework. Furthermore, various applications of the IoUT were highlighted, and the critical challenges in such applications were identified and addressed. The study in [19] presented an exhaustive review of the application of the IoUT emphasizing its contribution to Big Marine Data (BMD) analytics. The traditional use of BMD has its associated challenges, where the classical data processing techniques fail to serve the purpose. The paper thus explored the nexus of BMD with machine learning [20] for handling marine data. The paper also presented the potential directions of research incorporating the use of BMD and the IoUT, inspiring researchers to develop new tools and techniques in this domain. The study in [21] discussed various Underwater Network Management Systems (U-NMSs) that use acoustic communication involving the IoUT. The fault, configuration, accounting, performance, security [22], and constraint management aspects of U-NMSs were also elaborated. The paper also presented the prototype of a U-NMS framework being implemented in a library environment using lightweight machine-to-machine and acoustic technology. In [23], the primary emphasis was on the use of an Underwater Wireless Sensor Network (UWSN) and related technology of the IoUT. Traditional UWSN implementations have associated limitations of the underlying acoustic communication medium, higher levels of energy consumption, and a lack of hardware resources, which are required to perform the computationally intensive tasks.