Underwater AUV Localization with Optimal Cardinal Selection Using Dynamic Positioning Parameters

Today, underwater communication has become a hot issue in research on both undersea and deep-sea navigation, as well as in autonomous underwater vehicle management, and acoustic communication has been accounted for due to its flexibility and lower degree of attenuation. However, owing to influencing elements such as channel time changing circumstances, bandwidth measurements, longer propagations delay and the greatest degree of Doppler spread, pressure conditions, and salinity level, establishing acoustic communication in real-time is much more difficult.

 With a new monitoring era of global physical entities, a new agent-based multipath routing protocol has been proposed in this work including underwater sensor nodes and underwater gateways with an autonomous underwater vehicle (AUV). The clustering head in the impacted region of sensor nodes will gather and aggregate data using mobile agent-initiated routing algorithms for identifying numerous pathways, as well as parameters including hope counting, delay propagation, nodal energy, and channel quality. In this paper, an agent-based dynamic AUV traversal method is developed for increasing the network's dependability and connection while reorienting the AUV's movement direction.