High-Dimensional Probabilistic Fingerprinting in Wireless Sensor Networks Based on a Multivariate Gaussian Mixture Model

The extensive deployment of wireless infrastructure provides a low-cost way to track mobile users in indoor environment. This paper demonstrates a prototype model of an accurate and reliable room location awareness system in a real public environment in which three typical problems arise. Firstly, a...

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Detalles Bibliográficos
Autores principales: Li, Yan, Williams, Simon, Moran, Bill, Kealy, Allison, Retscher, Guenther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111281/
https://www.ncbi.nlm.nih.gov/pubmed/30096849
http://dx.doi.org/10.3390/s18082602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111281/
https://www.ncbi.nlm.nih.gov/pubmed/30096849
http://dx.doi.org/10.3390/s18082602

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