We study the node failure identification problem in undirected graphs by means of Boolean Network Tomography. We argue that vertex-connectivity plays a central role. We prove bounds on the maximum number of simultaneous node failures that can be identified in arbitrary networks. We argue that (augmented) grids are a class of networks with large failure identifiability, and provide very tight results in this context.

Vertex-connectivity for node failure identification in Boolean Network Tomography / Galesi, N.; Ranjbar, F.; Zito, M.. - In: INFORMATION PROCESSING LETTERS. - ISSN 0020-0190. - 184:(2024). [10.1016/j.ipl.2023.106450]

Vertex-connectivity for node failure identification in Boolean Network Tomography

Galesi N.
Membro del Collaboration Group
;
2024

Abstract

We study the node failure identification problem in undirected graphs by means of Boolean Network Tomography. We argue that vertex-connectivity plays a central role. We prove bounds on the maximum number of simultaneous node failures that can be identified in arbitrary networks. We argue that (augmented) grids are a class of networks with large failure identifiability, and provide very tight results in this context.
2024
augmented grids; boolean network tomography; combinatorial problems; failure identification; vertex connectivity
01 Pubblicazione su rivista::01a Articolo in rivista
Vertex-connectivity for node failure identification in Boolean Network Tomography / Galesi, N.; Ranjbar, F.; Zito, M.. - In: INFORMATION PROCESSING LETTERS. - ISSN 0020-0190. - 184:(2024). [10.1016/j.ipl.2023.106450]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1701929
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