Self-Localization in Large Scale Wireless Sensor Network Using Machine Learning

Abstract

Localization or positioning is an important aspect in wireless sensor network (WSN). In WSN sensor nodes are generally distributed randomly and to embed GPS module to all the nodes make the implementation more costly. But finding the position accurately is very much necessary in some of the cases like forest fire detection, animal monitoring etc. In this respect machine learning approach may play an important role. In this article a comprehensive literature review is done on machine learning techniques and a novel machine learning based self-localization technique is proposed.