Utilisation of Underwater Wireless Sensor Network Through Supervising a Random Network Environment in the Ocean Environment

The oceans, which span more than 75% of the Earth’s surface, have the largest average water content and play an important part in the operation of our planet. However, because of the intricate and often elusive nature of activities at sea level, our understanding of these vast and enigmatic maritime regions is severely constrained. Underwater wireless sensors have emerged as critical instruments for bridging this information gap, capable of continually collecting and transmitting data about the physical and environmental state of the oceans. The phrase underwater wireless sensor network (UWSN) refers to the interconnected system produced by these modern underwater sensors, which are well known for their effectiveness in analysing a wide range of performance characteristics. This study looks at how changing two crucial factors—the maximum speed of node mobility and the total number of nodes—affects the performance of a random waypoint mobility model in the setting of underwater sensor networks. The research introduces the novel concept of a Random-Oriented Underwater Wireless Sensor Network (RO-UWSN) and conducts a thorough investigation, evaluating performance across various operational modes using key criteria such as average transmission delay, average jitter, average path loss and percentage of utilisation, paving the way for improved insights into oceanic dynamics and sensor network optimisation.