Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20259
Title: Using Wi-Fi signal strength to localize in wireless sensor networks
Authors: Chan, CLE
Baciu, G 
Mak, SC
Keywords: Kalman Filter
Location Fingerprinting
Received Signal Strength
WiFi
Issue Date: 2009
Publisher: IEEE
Source: WRI International Conference on Communications and Mobile Computing, 2009 : CMC '09, 6-8 January 2009, Yunnan, p. 538-542 How to cite?
Abstract: Wireless sensor network (WSN) is widely used in many applications such as localization and real-time tracking system. Previous researches commonly suffer the line-of-sight (LOS) problem and dependence on contrast of the background light intensity. Location fingerprinting (LF) method uses a training dataset of received signal strength (RSS) at different location to track the target. The drawbacks of LF method are needed to have extensive training dataset surveying and highly affected by the changing of internal building infrastructure. In this paper, a sensor-based LF method will be implemented to replace extensive site-surveying. Using a Kalman Filter tracks multiple points to characterize a trajectory. Our experimental result shows that the effectiveness of our method leads to have more accurate and effective tracking system.
URI: http://hdl.handle.net/10397/20259
ISBN: 978-0-7695-3501-2
DOI: 10.1109/CMC.2009.233
Appears in Collections:Conference Paper

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