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Conference Paper: Localization in wireless sensor networks with gradient descent

TitleLocalization in wireless sensor networks with gradient descent
Authors
KeywordsDistance-based
Gradient descent
Gradient descent algorithms
Localization accuracy
Localization algorithm
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000106
Citation
The 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), Victoria, B.C., 23-26 August 2011. In IEEE PacRim Conference Proceedings, 2011, p. 91-96 How to Cite?
AbstractIn this article, we present two distance-based sensor network localization algorithms. The location of the sensors is unknown initially and we can estimate the relative locations of sensors by using knowledge of inter-sensor distance measurements. Together with the knowledge of the absolute locations of three or more sensors, we can also determine the locations of all the sensors in the wireless network. The proposed algorithms make use of gradient descent to achieve excellent localization accuracy. The two gradient descent algorithms are iterative in nature and result is obtained when there is no further improvement on the accuracy. Simulation results have shown that the proposed algorithms have better performance than existing localization algorithms. A comparison of different methods is given in the paper. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158730
ISBN
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorQiao, Den_US
dc.contributor.authorPang, GKHen_US
dc.date.accessioned2012-08-08T09:01:04Z-
dc.date.available2012-08-08T09:01:04Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), Victoria, B.C., 23-26 August 2011. In IEEE PacRim Conference Proceedings, 2011, p. 91-96en_US
dc.identifier.isbn978-1-4577-0253-2-
dc.identifier.issn1555-5798-
dc.identifier.urihttp://hdl.handle.net/10722/158730-
dc.description.abstractIn this article, we present two distance-based sensor network localization algorithms. The location of the sensors is unknown initially and we can estimate the relative locations of sensors by using knowledge of inter-sensor distance measurements. Together with the knowledge of the absolute locations of three or more sensors, we can also determine the locations of all the sensors in the wireless network. The proposed algorithms make use of gradient descent to achieve excellent localization accuracy. The two gradient descent algorithms are iterative in nature and result is obtained when there is no further improvement on the accuracy. Simulation results have shown that the proposed algorithms have better performance than existing localization algorithms. A comparison of different methods is given in the paper. © 2011 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000106-
dc.relation.ispartofIEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedingsen_US
dc.rightsIEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings. Copyright © IEEE.-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDistance-based-
dc.subjectGradient descent-
dc.subjectGradient descent algorithms-
dc.subjectLocalization accuracy-
dc.subjectLocalization algorithm-
dc.titleLocalization in wireless sensor networks with gradient descenten_US
dc.typeConference_Paperen_US
dc.identifier.emailQiao, D: h0795429@hku.hken_US
dc.identifier.emailPang, GKH: gpang@eee.hku.hk-
dc.identifier.authorityPang, GKH=rp00162en_US
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1109/PACRIM.2011.6032873en_US
dc.identifier.scopuseid_2-s2.0-80054760713en_US
dc.identifier.hkuros209046-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80054760713&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage91en_US
dc.identifier.epage96en_US
dc.publisher.placeUnited States-
dc.description.otherThe 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), Victoria, B.C., 23-26 August 2011. In IEEE PacRim Conference Proceedings, 2011, p. 91-96-
dc.identifier.scopusauthoridPang, GKH=7103393283en_US
dc.identifier.scopusauthoridQiao, D=25651913600en_US

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