Title :
Indoor localization by WiFi
Author :
Bagosi, Timea ; Baruch, Zoltan
Author_Institution :
Free Univ. of Bozen-Bolzano, Bolzano, Italy
Abstract :
The demand for accurate indoor localization techniques is increasing. The existing infrastructure of 802.11 WiFi networks can be exploited to position a device in a building. In this paper a positioning system is presented to locate a robot device in the Faculty of Computer Science building. Several techniques are experimented and the algorithms K Nearest-Neighbours (KNN), weighted KNN, weighted Centroid, and Gaussian kernel methods are implemented and compared.
Keywords :
Gaussian processes; indoor radio; mobile robots; path planning; radionavigation; wireless LAN; 802.11 WiFi networks; Gaussian kernel methods; K-nearest neighbours; indoor localization technique; positioning system; robot device; weighted Centroid; weighted KNN; Accuracy; Databases; Estimation; IEEE 802.11 Standards; Kernel; Robots; Wireless communication;
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4577-1479-5
Electronic_ISBN :
978-1-4577-1481-8
DOI :
10.1109/ICCP.2011.6047914
