Target Tracking via Underwater Acoustic Wireless Sensor Network

This paper proposes a two-dimensional target tracking algorithm via Underwater Wireless Sensor Networks (UWSN) with the acoustic waves. Some challenges such as system and sensor uncertainties and limited energy source are studied in this paper. By applying the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), the measurement noise is filtered and the target path is estimated. As a comparison, the target path is also estimated by geometric approach. As the simulation results illustrate, the filtered path matches on the target’s real path curve. Furthermore, this paper uses a scheme to reduce energy consumption of the network during target tracking in UWSN which is called sensor selection.