NDLI: Nonmetric MDS for sensor localization

Content Provider	IEEE Xplore Digital Library
Author	Vo Dinh Minh Nhat Duc Vo Challa, S. SungYoung Lee
Copyright Year	2008
Description	Author affiliation: Ubiquitous Comput. Lab., Kyung Hee Univ., Seoul (Vo Dinh Minh Nhat)
Abstract	Multidimensional scaling (MDS) has been recently applied to node localization in sensor networks and gained some very impressive performance. MDS treats dissimilarities of pair-wise nodes directly as Euclidean distances and then makes use of the spectral decomposition of a doubly centered matrix of dissimilarities. However dissimilarities mainly estimated by received signal strength (RSS) or by the time of arrival (TOA) of communication signal from the sender to the receiver used to suffer errors. From this observation, nonmetric multidimensional scaling (NMDS) based only the rank order of the dissimilarities is proposed in this paper. Different from MDS, NMDS obtain insights into the nature of ldquoperceivedrdquo dissimilarities which makes it more suitable to the problem of sensor localization. The experiment on real sensor network measurements of RSS and TOA shows the efficiency and novelty of NMDS for sensor localization problem in term of sensor location-estimated error.
Starting Page	396
Ending Page	400
File Size	165850
Page Count	5
File Format	PDF
ISBN	9781424416523
DOI	10.1109/ISWPC.2008.4556237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-07
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Ubiquitous computing Multidimensional systems Hardware Radar tracking Radio frequency Matrix decomposition Psychology Reflection Time difference of arrival
Content Type	Text
Resource Type	Article

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