Study on Node Localization of Underwater Sensor Networks Based on Node Dynamic Selection and Movement Prediction

Abstract

A node positioning method based on dynamic node selection and mobile prediction (NDSMP) for underwater wireless sensor networks is proposed, which can effectively copy with the issues of network edge and network void. The NDSMP can predict the location of a node after its movement based on its past location and dynamically select reference nodes. It is shown by our simulation experiments that the NDSMP is superior to the existing positioning algorithms in terms of localization coverage and localization average error, especially when the network is relatively sparse and the number of nodes is relatively small.