NDLI: 802.11 Positioning in the Home

Content Provider	IEEE Xplore Digital Library
Author	Salter, J. Binghao Li Woo, D. Dempster, A.G. Rizos, C.
Copyright Year	2008
Description	Author affiliation: New South Wales Univ., Sydney (Salter, J.; Binghao Li; Woo, D.; Dempster, A.G.; Rizos, C.)
Abstract	802.11 positioning systems are established as a low-cost solution to positioning within context aware computing. Prior research has mostly focused on either indoor positioning within commercial environments, where access points are prevalent, or outdoors positioning over large areas, using discovered networks to augment GPS. In this paper we test 802.11 positioning in a medium sized domestic house with only a small number of access points, examining its suitability in a domestic context aware computing system. We use a signal strength fingerprint map approach, in which empirical signal strength data is gathered over the area prior to use. Estimation then involves comparing the online input to the map, and selecting the best position, and direction, based on similarity. We compare different strategies for gathering signal strength, and implementations of the Nearest Neighbor and Bayesian methods. Our results demonstrate that with good placement, only two access points are sufficient to estimate position with an error of less than 4 meters 90% of the time.
Starting Page	598
Ending Page	602
File Size	184566
Page Count	5
File Format	PDF
ISBN	9781424414567
e-ISBN	9781424414574
DOI	10.1109/ccnc08.2007.139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Signal processing Wireless sensor networks Context awareness System testing Nearest neighbor searches Bayesian methods Wireless LAN Costs Smart homes
Content Type	Text
Resource Type	Article

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