1 Ocak 2017 Dergi makalesi Açık Erişim

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

Dublin Core

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  <dc:creator>Utlu, Ihsan</dc:creator>
  <dc:creator>Kilic, O. Fatih</dc:creator>
  <dc:creator>Kozat, Suleyman S.</dc:creator>
  <dc:date>2017-01-01</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/46701</dc:identifier>
  <dc:identifier>oai:zenodo.org:46701</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>DIGITAL SIGNAL PROCESSING 68 127-137</dc:source>
  <dc:title>Resource-aware event triggered distributed estimation over adaptive networks</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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