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TUTCRIS

Comprehensive survey of similarity measures for ranked based location fingerprinting algorithm

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoIndoor Positioning and Indoor Navigation (IPIN), 2017 International Conference on
KustantajaIEEE
Sivumäärä4
ISBN (elektroninen)978-1-5090-6299-7
DOI - pysyväislinkit
TilaJulkaistu - 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Indoor Positioning and Indoor Navigation -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

Nimi
ISSN (elektroninen)2471-917X

Conference

ConferenceInternational Conference on Indoor Positioning and Indoor Navigation
Ajanjakso1/01/00 → …

Tiivistelmä

Ranked Based Fingerprinting uses only ordering indices instead of actual Wi-Fi RSS values in order to make the algorithm insensitive to devices. A key component of the RBF algorithm is a similarity measure which is used to compare and find the closest ranked fingerprints. Previous papers study a few similarity measures; here we study 49 similarity measures in a test with a benchmark with publicly available indoor positioning database. For different similarity measures the positioning accuracy varies from 15.80 m to 55.22 m. The top 3 similarity measures are Lorentzian, Hamming and Jaccard. Hamming and Jaccard similarity measures have been studied in other papers while Lorenzian had not been studied with that kind of problems.

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