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Multihop Range-Free Localization with Approximate Location Area for Anisotropic Networks
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dc.contributor.authorWoo, Hyunjae-
dc.contributor.authorLee, Chaewoo-
dc.date.issued2018-07-02-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36318-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063215565&origin=inward-
dc.description.abstractThis paper presents a novel multihop range-free localization algorithm tailored for anisotropic network. To mitigate the effect of network anisotropy, an approximate location area for each normal node is determined by using geographic information obtained from anchors at known locations. Using the approximate location area, a new distance estimation approach that is able to obtain the maximum estimation error is then introduced. The location of each normal node is computed with weighted least square estimation (WLSE) by taking into account the maximum distance estimation errors. The superiority of the proposed algorithm is validated over existing algorithms through extensive simulations.-
dc.description.sponsorshipACKNOWLEDGMENT This work was supported by the National Research Foundation (NRF) of South Korea funded by the Minister of Education, Science and Technology (under Grant 2017R1D1A1B03035229).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshAnisotropic networks-
dc.subject.meshDistance estimation-
dc.subject.meshEstimation approaches-
dc.subject.meshEstimation errors-
dc.subject.meshGeographic information-
dc.subject.meshLocalization algorithm-
dc.subject.meshLocation Area-
dc.subject.meshMulti-hops-
dc.subject.meshRange free localization-
dc.subject.meshWeighted least square estimation-
dc.titleMultihop Range-Free Localization with Approximate Location Area for Anisotropic Networks-
dc.typeConference-
dc.citation.conferenceDate2018.10.28. ~ 2018.10.31.-
dc.citation.conferenceName2018 IEEE Region 10 Conference, TENCON 2018-
dc.citation.editionProceedings of TENCON 2018 - 2018 IEEE Region 10 Conference-
dc.citation.endPage1325-
dc.citation.startPage1322-
dc.citation.titleIEEE Region 10 Annual International Conference, Proceedings/TENCON-
dc.citation.volume2018-October-
dc.identifier.bibliographicCitationIEEE Region 10 Annual International Conference, Proceedings/TENCON, Vol.2018-October, pp.1322-1325-
dc.identifier.doi10.1109/tencon.2018.8650094-
dc.identifier.scopusid2-s2.0-85063215565-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000751-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Science Applications-
dc.subject.subareaElectrical and Electronic Engineering-
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