Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/22551
DC FieldValueLanguage
dc.contributor.authorRisteska Stojkoska, Biljanaen_US
dc.date.accessioned2022-08-24T08:39:12Z-
dc.date.available2022-08-24T08:39:12Z-
dc.date.issued2016-05-30-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22551-
dc.description.abstractLocalization 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.en_US
dc.publisherIEEEen_US
dc.subjecttaxonomy; localization; wireless sensor networks; multidimensional scaling; positioningen_US
dc.titleA taxonomy of localization techniques based on multidimensional scalingen_US
dc.typeProceeding articleen_US
dc.relation.conference2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
Files in This Item:
File Опис SizeFormat 
1606.07388.pdf346.83 kBAdobe PDFView/Open
Прикажи едноставен запис

Page view(s)

51
checked on 4.5.2025

Download(s)

6
checked on 4.5.2025

Google ScholarTM

Проверете


Записите во DSpace се заштитени со авторски права, со сите права задржани, освен ако не е поинаку наведено.