Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics

Abstract

In underwater wireless sensor network (UWSN), the AoA/TDoA-based ranging localization problem for nodes was formulated from a time-variant perspective, and a zeroing neural dynamics model was proposed to solve it.Then, the convergence of the proposed model was theoretically analyzed.Furthermore, computer simulations on UWSN localization were carried out to demonstrate the effectiveness of the proposed models in terms of accuracy and robustness to the mobile localization.Additionally, through tests performed in Qinghai lake, the coordinates of nodes of UWSN test-bed were leverage to illustrate the potential applicability of the proposed model in the true underwater environment.

Keywords

• underwater wireless sensor network;node localization;zeroing neural dynamics;ranging localization