Cargando…
QA-kNN: Indoor Localization Based on Quartile Analysis and the kNN Classifier for Wireless Networks
Considering the variation of the received signal strength indicator (RSSI) in wireless networks, the objective of this study is to investigate and propose a method of indoor localization in order to improve the accuracy of localization that is compromised by RSSI variation. For this, quartile analys...
Autores principales: | Ferreira, David, Souza, Richard, Carvalho, Celso |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506799/ https://www.ncbi.nlm.nih.gov/pubmed/32825558 http://dx.doi.org/10.3390/s20174714 |
Ejemplares similares
-
Ensemble of a subset of kNN classifiers
por: Gul, Asma, et al.
Publicado: (2016) -
GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
por: Arefin, Ahmed Shamsul, et al.
Publicado: (2012) -
Compressed kNN: K-Nearest Neighbors with Data Compression
por: Salvador–Meneses, Jaime, et al.
Publicado: (2019) -
Robust Distance Measures for kNN Classification of Cancer Data
por: Ehsani, Rezvan, et al.
Publicado: (2020) -
IKULDAS: An Improved kNN-Based UHF RFID Indoor Localization Algorithm for Directional Radiation Scenario
por: Shi, Weiguang, et al.
Publicado: (2019)