Compressive Sensing Node Localization Method Using Autonomous Underwater Vehicle Network

Abstract

Autonomous underwater vehicle networks is a significant resource for aquatic life maintenance and monitoring underwater pollution. It is necessary to study the underwater localization algorithms which self-localize themselves. The proposed work concentrates only on the range-free localization model with a goal is to use only very few sensing nodes in the network with low cost and high battery power to self-localize themselves. Few beacon nodes have been used to localize the sensor nodes in the definite position of the network. Compressive sensing theory based on hop count information for localizing the sensor nodes has also been used for localization. This research aims to collect the connectivity information of all the nodes in the network with compressive sensing theory and improve the localization accuracy. The analysis presents that the proposed method works well with location accuracy. Compressive Sensing Node Localization reduces cost and enhances sensors' energy efficiency compared to other underwater localization algorithms. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.