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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Signal Processingarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Signal Processing
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2012
Data sources: DBLP
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Accurate sequential self-localization of sensor nodes in closed-form

Authors: Ming Sun 0002; Le Yang 0001; K. C. Ho 0001;

Accurate sequential self-localization of sensor nodes in closed-form

Abstract

This paper addresses the problem of obtaining an efficient estimator for sensor node self-localization using time of arrival (TOA) measurements. A sequential scheme is proposed that consists of closed-form single node localization and sensor position refinement algorithms as primitive. The sequential scheme is able to locate sensor nodes with accuracy approaching the CRLB and it can be realized in both centralized and distributed manners. To combat the communication load for a large-scale network, a reduced-complexity version is also proposed with only slight degradation in the estimation accuracy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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