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Article . 2009 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2009
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Article . 2009
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Liar's domination

Authors: Peter J. Slater;

Liar's domination

Abstract

AbstractAssume that each vertex of a graph G is the possible location for an “intruder” such as a thief, or a saboteur, a fire in a facility or some possible processor fault in a computer network. A device at a vertex v is assumed to be able to detect the intruder at any vertex in its closed neighborhood N[v] and to identify at which vertex in N[v] the intruder is located. One must then have a dominating set S ⊆ V(G), a set with ∪v∈SN[v] = V(G), to be able to identify any intruder's location. If any one device can fail to detect the intruder, then one needs a double‐dominating set. This article introduces the study of liar's dominating sets, sets that can identify an intruder's location even when any one device in the neighborhood of the intruder vertex can lie, that is, any one device in the neighborhood of the intruder vertex can misidentify any vertex in its closed neighborhood as the intruder location. Liar's dominating sets lie between double‐dominating sets and triple‐dominating sets because every triple‐dominating set is a liar's dominating set, and every liar's dominating set must double dominate. © 2009 Wiley Periodicals, Inc. NETWORKS, 2009

Related Organizations
Keywords

fault-tolerant, Discrete location and assignment, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Average
Top 10%
Average
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