Subject: taxonomy; localization; wireless sensor networks; multidimensional scaling; positioning
Year: 2016
Type: Proceeding article
Title: A taxonomy of localization techniques based on multidimensional scaling
Author: 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.
Publisher: IEEE
Relation: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Identifier: oai:repository.ukim.mk:20.500.12188/22551
Identifier: http://hdl.handle.net/20.500.12188/22551
