LAUSR

Underwater wireless sensor networks (UWSNs) have played an increasingly important role in the fields of ocean exploration, underwater environment monitoring, underwater navigation target tracking, terrain-assisted navigation, and so on. However, UWSNs are a dynamic network, which are unlike terrestrial wireless sensor networks, and the complexity of underwater environment poses many challenges for the positioning of sensor nodes. Aiming at the difficulty of location update, this paper proposes a UWSN positioning technology based on iterative optimization and data position correction (IO-DPC). Firstly, particle swarm optimization technology is used to perform the rough positioning stage of sensor nodes, and iterative optimization is performed for many times. Then, data position correction work is carried out, and a scheme is designed for correcting underwater sensor data position when base station receives the data packet. An underwater ocean current model is established, and IO-DPC technology is simulated in various underwater simulation environments. Experimental results show that IO-DPC technology has higher positioning accuracy than other traditional technologies.