Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3923
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dc.contributor.authorHao, He-
dc.contributor.authorSilvestre, Daniel-
dc.contributor.authorSilvestre, Carlos-
dc.date.accessioned2018-11-08T17:58:18Z-
dc.date.available2018-11-08T17:58:18Z-
dc.date.issued2018-07-
dc.identifier.citationH. Hao, D. Silvestre and C. Silvestre, "Source Localization and Network Topology Discovery in Infection Networks," 2018 37th Chinese Control Conference (CCC), Wuhan, 2018, pp. 1915-1920. doi: 10.23919/ChiCC.2018.8482274 keywords: {computer networks;telecommunication network topology;high-degree nodes;source localization;network topology discovery;infection networks;identification problem;source identification;Mathematical model;Observability;Network topology;Observers;Standards;Optimization;Topology}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8482274&isnumber=8482271por
dc.identifier.issn1934-1768-
dc.identifier.urihttp://hdl.handle.net/11144/3923-
dc.description.abstractDetermining the network topology is typically a challenging problem due to the number of nodes and connection between them. Complexity is added whenever this identification problem relies solely on a subset of the outputs of some dynamical system or distributed algorithm running on those nodes. In this paper, we focus on both the source identification and network topology discovery problems in the context of infection networks where a subset of the nodes are elected as observers. The solution consists in writing the binary constraints associated with the problem. Convex relaxations are also proposed and investigated through simulations where a pattern emerges that placing observers in high-degree nodes increases the accuracy of the method.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.rightsopenAccesspor
dc.subjectcomputer networkspor
dc.subjecttelecommunication network topologypor
dc.subjecthigh-degree nodespor
dc.subjectsource localizationpor
dc.subjectnetwork topology discoverypor
dc.subjectinfection networkspor
dc.subjectidentification problempor
dc.subjectsource identificationpor
dc.subjectObserverspor
dc.subjectStandardspor
dc.subjectOptimization;por
dc.subjectTopologypor
dc.subjectMathematical modelpor
dc.subjectObservabilitypor
dc.subjectNetwork topologypor
dc.titleSource Localization and Network Topology Discovery in Infection Networkspor
dc.typearticlepor
degois.publication.firstPage1915por
degois.publication.lastPage1920por
degois.publication.locationWuhanpor
degois.publication.title37th Chinese Control Conference (CCC)por
dc.peerreviewedyespor
dc.identifier.doi10.23919/ChiCC.2018.8482274por
Appears in Collections:AUTONOMA TECHLAB - Artigos/Papers

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