Localization of Nodes with Ocean Current Mobility Model in Underwater Acoustic Sensor Networks

Abstract

Underwater Acoustic Sensor Networks (UASN) have different applications such as oil platform monitoring, earthquake, tsunami forewarning, water pollution tracking, etc. In UASN, localization is the fundamental step to make the sensed data meaningful and the localization is performed after random deployment of nodes. It is useful in different ways such as node tracking, target detection, etc. Existing works do not consider the ocean current drift during node localization. In this paper, node localization in UASN is achieved by incorporating the ocean current drift for the sensor nodes. As underwater environment is usually complex, the Meandering Current Mobility (MCM) model is considered as the ocean current model and the unlocalized node position is estimated using Dive and Rise Localization method with Distance Vector Hop algorithm. Aquasim software is the simulation tool used to implement the UASN model. Simulation results indicate that the proposed localization method incorporating the ocean drift model outperforms the existing localization scheme in terms of packet delivery ratio, delay, localization ratio, and coverage.