NDLI: Distance Matrix Reconstruction from Incomplete Distance Information for Sensor Network Localization

Content Provider	IEEE Xplore Digital Library
Author	Drineas, P. Javed, A. Magdon-Ismail, M. Pandurangan, G. Virrankoski, R. Savvides, A.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Rensselaer Polytech Inst., Troy, NY (Drineas, P.; Javed, A.; Magdon-Ismail, M.)
Abstract	This paper focuses on the principled study of distance reconstruction for distance-based node localization. We address an important issue in node localization by showing that a highly incomplete set of inter-node distance measurements obtained in ad-hoc node deployments carries sufficient information for the accurate reconstruction of the missing distances, even in the presence of noise and sensor node failures. We provide an efficient and provably accurate algorithm for this reconstruction, and we show that the resulting error is bounded, decreasing at a rate that is inversely proportional to radicn, the square root of the number of nodes in the region of deployment. Although this result is applicable to many localization schemes, in this paper we illustrate its use in conjunction with the popular multidimensional scaling algorithm. Our analysis reveals valuable insights and key factors to consider during the sensor network setup phase, to improve the quality of the position estimates
Starting Page	536
Ending Page	544
File Size	194815
Page Count	9
File Format	PDF
ISBN	1424406269
DOI	10.1109/SAHCN.2006.288510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Distance measurement Sensor phenomena and characterization Communications Society Multidimensional systems Intelligent networks Phase estimation Position measurement Size measurement Sensor systems
Content Type	Text
Resource Type	Article

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