Tight bounds to localize failure nodes on trees, grids and through embeddings under boolean network tomography
Maximal identifiability was recently introduced in boolean network tomography to measure the maximal number of corrupted nodes which can be uniquely localized in sets of end-to-end measurement paths on networks ([1,2]). We contribute to the study of maximal identifiability proving upper and lower bo...
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Published in | Theoretical computer science Vol. 919; pp. 103 - 117 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
05.06.2022
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Subjects | |
Online Access | Get full text |
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