Dergi makalesi Açık Erişim
Utlu, Ihsan; Kilic, O. Fatih; Kozat, Suleyman S.
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <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 & Elect Engn, Ankara, Turkey</affiliation> </creator> <creator> <creatorName>Kozat, Suleyman S.</creatorName> <givenName>Suleyman S.</givenName> <familyName>Kozat</familyName> <affiliation>Bilkent Univ, Dept Elect & 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> </rightsList> <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> </descriptions> </resource>
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