Revisiting Gaussian Process Regression Modeling for Localization in Wireless Sensor Networks

Revisiting Gaussian Process Regression Modeling for Localization in Wireless Sensor Networks

Signal strength-based positioning in wireless sensor networks is a key technology for seamless, ubiquitous localization, especially in areas where Global Navigation Satellite System (GNSS) signals propagate poorly. To enable wireless local area network (WLAN) location fingerprinting in larger areas...

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Bibliographic Details
Main Authors: Philipp Richter, Manuel Toledano-Ayala
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Sensors
Subjects:
sensor modeling
WLAN received signal strength
Gaussian process regression
machine learning
location fingerprinting
Online Access:http://www.mdpi.com/1424-8220/15/9/22587

Internet

http://www.mdpi.com/1424-8220/15/9/22587

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