A taxonomy of localization techniques based on multidimensional scaling
Date Issued
2016-05-30
Author(s)
Risteska Stojkoska, Biljana
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 MDSbased algorithms according to different taxonomy features and
different evaluation metrics.
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 MDSbased algorithms according to different taxonomy features and
different evaluation metrics.
Subjects
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