1 Ocak 2018 Konferans bildirisi Açık Erişim

Ulusar, Umit Deniz; Celik, Gurkan; Turk, Erdinc; Al-Turjman, Fadi; Guvenc, Halil

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/34295</identifier>
  <creators>
    <creator>
      <creatorName>Ulusar, Umit Deniz</creatorName>
      <givenName>Umit Deniz</givenName>
      <familyName>Ulusar</familyName>
      <affiliation>Akdeniz Univ, Dept Comp Engn, Antalya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Celik, Gurkan</creatorName>
      <givenName>Gurkan</givenName>
      <familyName>Celik</familyName>
      <affiliation>Akdeniz Univ, Elect Elect Engn Dept, Antalya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Turk, Erdinc</creatorName>
      <givenName>Erdinc</givenName>
      <familyName>Turk</familyName>
      <affiliation>Akdeniz Univ, Dept Comp Engn, Antalya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Al-Turjman, Fadi</creatorName>
      <givenName>Fadi</givenName>
      <familyName>Al-Turjman</familyName>
      <affiliation>Antalya Bilim Univ, Dept Comp Engn, Antalya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Guvenc, Halil</creatorName>
      <givenName>Halil</givenName>
      <familyName>Guvenc</familyName>
      <affiliation>Akdeniz Univ, Elect Elect Engn Dept, Antalya, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Accurate Indoor Localization For Zigbee Networks</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/34295</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.34294</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.34295</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Localization has critical role for location-based services in wireless sensor networks (%VSIN). Various techniques have been proposed but accurate indoor localization is still an active research area. In this paper, we performed experimental studies on data collection and compared position prediction techniques for indoor environments. Findings of this study indicate that time of arrival based prediction gives better results than receiver signal strength indicator (RSSI) based prediction.</description>
  </descriptions>
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