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hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorBELLITTO, Thomas
dc.date.accessioned2024-04-04T03:10:15Z
dc.date.available2024-04-04T03:10:15Z
dc.date.issued2017
dc.identifier.issn1879-2294
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193674
dc.description.abstractEnThis paper studies the problem of traffic monitoring which consists of differentiating a set of walks on a directed graph by placing sensors on as few arcs as possible. The problem of characterising a set of individuals by testing as few attributes as possible is already well-known, but traffic monitoring presents new challenges that the previous models of separation fall short from modelling such as taking into account the multiplicity and order of the arcs in a walk. We introduce a new and stronger model of separation based on languages that generalises the traffic monitoring problem. We study three subproblems with practical applications and develop methods to solve them by combining integer linear programming, separating codes and language theory.
dc.language.isoen
dc.publisherElsevier
dc.title.enSeparating codes and traffic monitoring
dc.typeArticle de revue
dc.identifier.doi10.1016/j.tcs.2017.03.044
dc.subject.halInformatique [cs]
bordeaux.journalTheoretical Computer Science
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01514034
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01514034v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Theoretical%20Computer%20Science&rft.date=2017&rft.eissn=1879-2294&rft.issn=1879-2294&rft.au=BELLITTO,%20Thomas&rft.genre=article


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