1 Ocak 2017 Dergi makalesi Açık Erişim

Utlu, Ihsan; Kilic, O. Fatih; Kozat, Suleyman S.

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/46701</identifier>
  <creators>
    <creator>
      <creatorName>Utlu, Ihsan</creatorName>
      <givenName>Ihsan</givenName>
      <familyName>Utlu</familyName>
    </creator>
    <creator>
      <creatorName>Kilic, O. Fatih</creatorName>
      <givenName>O. Fatih</givenName>
      <familyName>Kilic</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Kozat, Suleyman S.</creatorName>
      <givenName>Suleyman S.</givenName>
      <familyName>Kozat</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Resource-Aware Event Triggered Distributed Estimation Over Adaptive Networks</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/46701</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.dsp.2017.05.011</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>
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  <descriptions>
    <description descriptionType="Abstract">We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 103 fold reduction in the communication load over the network, while delivering a comparable performance with respect to the state of the art. After computation of local estimates, the information is diffused among the processing elements (or nodes) non-uniformly in time by conditioning the information transfer on level-crossings of the diffused parameter, resulting in a greatly reduced communication requirement. We provide the mean and mean-square stability analyses of our algorithms, and illustrate the gain in communication efficiency compared to other reduced-communication distributed estimation schemes. (C) 2017 Elsevier Inc. All rights reserved.</description>
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