Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10152
Title: Wireless tracking analysis in location fingerprinting
Authors: Chan, CLE
Baciu, G 
Mak, SC
Keywords: Analytical models
Fingerprint recognition
Fuzzy logic
Global Positioning System
Interference
Large-scale systems
Propagation losses
Target tracking
Visualization
Wireless LAN
Analytical Model
Location Fingerprinting
Tracking
Wi-Fi
Issue Date: 2008
Publisher: IEEE
Source: IEEE International Conference on Wireless and Mobile Computing Networking and Communications, 2008 : WIMOB '08, 12-14 October 2008, Avignon, p. 214-220 How to cite?
Abstract: Wireless tracking analysis is useful for deploying the efficient indoor positioning system. Location fingerprinting (LF) method uses a training dataset of Wi-Fi received signal strength (RSS) at different location to track the target. Fuzzy logic modeling can be applied to evaluate the behavior of wireless received signal strength (RSS). Previous analytical models based on LF are not sufficient for modeling spatial factors of wireless coverage. Spatial analytical model is useful for analysis of how the wireless infrastructure affecting the accuracy of positioning. The main concept of fuzzy logic is to reflect the reality of our world of experience, which is uncertain and fuzzy. In this paper, we develop a multilayer fuzzy modeling for the wireless coverage in the huge and open area. Large scale site surveying has been used to collect RSS in 9.34 hectare campus area. The color fuzzy model allows us to visualize the spatial distribution of wireless RSS. Base on the fuzzy analytical model, we analyze the effect of existence of human's presence and large obstacle, the accuracy and efficiency of tracking system.
URI: http://hdl.handle.net/10397/10152
ISBN: 978-0-7695-3393-3
978-0-7695-3393-3 (E-ISBN)
DOI: 10.1109/WiMob.2008.30
Appears in Collections:Conference Paper

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