Repository logo
 
Publication

Hybrid RSS-AoA technique for 3-D node localization in wireless sensor networks

2015-10Conference paper Restricted access
Simple item page
datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorTomic, Slavisa
dc.contributor.authorMarikj, Milica
dc.contributor.authorBeko, Marko
dc.contributor.authorDinis, Rui
dc.contributor.authorOrfao, Nuno
dc.date.accessioned2025-06-18T09:52:12Z
dc.date.available2025-06-18T09:52:12Z
dc.date.issued2015-10
dc.descriptionndexed keywords Engineering controlled terms Direction of arrival; Mobile computing; Optimization; RSS; Sensor nodes; Wireless telecommunication systems Engineering uncontrolled terms Angle of arrival; Generalized trust region subproblem; Hybrid localization; Non-cooperative; Received signal strength; Second-order cone programming; Wireless localization Engineering main heading Wireless sensor networks
dc.descriptionConference name 11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015
dc.descriptionConference date 24 August 2015 - 28 August 2015
dc.descriptionArticle number 7289266
dc.description.abstractWe consider 3-D target positioning in noncooperative wireless sensor network (WSN) by employing received signal strength (RSS) and angle-of-arrival (AoA) measurements. Based on the least squares (LS) criterion, we derive a novel objective function for solving the hybrid localization problem. Despite the fact that the resulting optimization problem is non-convex, we show that it can be approximated into a convex problem by applying second-order cone programming (SOCP) relaxation. Moreover, we show that the objective function can be written in the form that belongs to the generalized trust region subproblems (GTRS), which can be solved exactly. Our numerical results exhibit remarkable performance of the new approaches, reducing the estimation error for more than 5 m and 3 m, in comparison to the state-of-the-art approach.eng
dc.description.sponsorshipThis work was partially supported by Fundação para a Ciência e a Tecnologia under Projects PEst-OE/EEI/LA0008/2013 (IT pluriannual founding and HETNET), UID/EEA/00066/2013 (CTS/UNINOVA pluriannual founding), PTDC/EEITEL/6308/2014 HAMLeT, EXPL/EEITEL/0969/2013 MANY2COMWIN, EXPL/EEITEL/1582/2013 GLANC, EXPL/EEITEL/2408/2013 EnAcoMIMOCo and PTDC/EEI-TEL/2990/2012 ADIN, and the grant SFRH/BD/91126/2012 and Ciencia 2008 Post-Doctoral Research grant.
dc.identifier.citationS. Tomic, M. Marikj, M. Beko, R. Dinis and N. Órfão, "Hybrid RSS-AoA technique for 3-D node localization in wireless sensor networks," 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), Dubrovnik, Croatia, 2015, pp. 1277-1282, doi: 10.1109/IWCMC.2015.7289266.
dc.identifier.doi10.1109/iwcmc.2015.7289266
dc.identifier.isbn978-1-4799-5344-8
dc.identifier.issn2376-6492
dc.identifier.urihttp://hdl.handle.net/10400.8/13319
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationStrategic Project - LA 8 - 2013-2014
dc.relationCentre of Technology and Systems
dc.relationSPECTRUM SHARING IN COGNITIVE RADIO NETWORKS
dc.relationADIN - Advanced PHY/MAC Design for Infrastructure-less Networks
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7289266
dc.relation.ispartof2015 International Wireless Communications and Mobile Computing Conference (IWCMC)
dc.rights.uriN/A
dc.subjectWireless sensor networks
dc.subjectLinear programming
dc.subjectMaximum likelihood estimation
dc.subjectAccuracy
dc.subjectLoss measurement
dc.subjectLeast squares approximations
dc.subjectWireless localization
dc.subjectwireless sensor network (WSN)
dc.subjectreceived signal strength (RSS)
dc.subjectangle-of-arrival (AoA)
dc.subjectsecond-order cone programming problem (SOCP)
dc.subjectgeneralized trust region subproblem (GTRS)
dc.subjecthybrid localization
dc.subjectnon-cooperative localization
dc.titleHybrid RSS-AoA technique for 3-D node localization in wireless sensor networkseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleStrategic Project - LA 8 - 2013-2014
oaire.awardTitleCentre of Technology and Systems
oaire.awardTitleSPECTRUM SHARING IN COGNITIVE RADIO NETWORKS
oaire.awardTitleADIN - Advanced PHY/MAC Design for Infrastructure-less Networks
oaire.awardURIhttp://hdl.handle.net/10400.8/12984
oaire.awardURIhttp://hdl.handle.net/10400.8/13316
oaire.awardURIhttp://hdl.handle.net/10400.8/13317
oaire.awardURIhttp://hdl.handle.net/10400.8/13318
oaire.citation.conferenceDate2015-08
oaire.citation.conferencePlaceDubrovnik, Croatia
oaire.citation.endPage1282
oaire.citation.startPage1277
oaire.citation.title2015 International Wireless Communications and Mobile Computing Conference (IWCMC)
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
oaire.fundingStream3599-PPCDT
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
relation.isProjectOfPublication5ff93f54-75ba-48da-8a10-c54ab3a373f5
relation.isProjectOfPublicationffdb1d2c-505d-4c3f-8d13-1d968e291720
relation.isProjectOfPublication8e8ff6b5-1e32-43ec-a844-755b6c299478
relation.isProjectOfPublicationcfb7931e-9b1f-4b4d-8192-5c9cb2929be2
relation.isProjectOfPublication.latestForDiscovery5ff93f54-75ba-48da-8a10-c54ab3a373f5

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Hybrid_RSS-AoA_technique_for_3-D_node_localization.pdf
Size:
740.49 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTG - Comunicações em conferências e congressos internacionais