NDLI: Distributed linear combination estimators for localization based on received signal strength in wireless networks

Content Provider	IEEE Xplore Digital Library
Author	Wei-Yu Chen Miller, S.L.
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering, Texas A&M University, College Station, 77843, USA (Wei-Yu Chen; Miller, S.L.)
Abstract	Wireless geolocation problems based on received signal strength (RSS) are discussed in this paper. Using the maximum likelihood based range estimates, a new distributed and iterative linear combination location estimator is proposed. In a non-cooperative case where unknown-location (blindfolded) devices only utilize the power measurements from known-location devices (anchors), the proposed algorithm has a similar error performance to the maximum likelihood estimator but the computation time is much less. In cooperative localization, a blindfolded node uses information from not only anchors but also other blindfolded nodes. After being compared with the distributed maximum likelihood estimator and the distributed weighted-multidimensional scaling (dwMDS) method, it is recognized that the estimator performs well in accuracy, computation time, and the use of wireless transmissions under various wireless environments.
Starting Page	258
Ending Page	263
File Size	220613
Page Count	6
File Format	PDF
ISBN	9781424427338
DOI	10.1109/CISS.2009.5054727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Maximum likelihood estimation Wireless sensor networks Power measurement Wireless networks Iterative algorithms Pollution measurement Random variables Distributed algorithms Shadow mapping
Content Type	Text
Resource Type	Article

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