A taxonomy of localization techniques based on multidimensional scaling
Networking and Internet Architecture
2017-01-23 v2
Abstract
Localization in Wireless Sensor Networks (WSNs) has been a challenging problem in the last decade. The most explored approaches for this purpose are based on multidimensional scaling (MDS) technique. The first algorithm that introduced MDS for nodes localization in sensor networks is well known as MDS-MAP. Since its appearance in 2003, many variations of MDS-MAP have been proposed in the literature. This paper aims to provide a comprehensive survey of the localization techniques that are based on MDS. We classify MDS-based algorithms according to different taxonomy features and different evaluation metrics.
Keywords
Cite
@article{arxiv.1606.07388,
title = {A taxonomy of localization techniques based on multidimensional scaling},
author = {Biljana Risteska Stojkoska},
journal= {arXiv preprint arXiv:1606.07388},
year = {2017}
}