OTHER
Indoor localization by WiFi
Timea Bagosi, Z. Baruch
- Year
- 2011
- Citations
- 32
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
Computer scienceCentroidIndoor positioning systemKernel (algebra)Position (finance)RobotArtificial intelligencek-nearest neighbors algorithmGaussianWireless lan
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