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Thesis topic proposal
 
Csilla Bujtás
Zsolt Tuza
Identifying codes in networks

THESIS TOPIC PROPOSAL

Institute: University of Pannonia
computer sciences
Doctoral School of Information Science and Technology

Thesis supervisor: Zsolt Tuza
co-supervisor: Csilla Bujtás
Location of studies (in Hungarian): University of Pannonia, Department of Computer Science and Systems Technology
Abbreviation of location of studies: PE


Description of the research topic:

The problem originates from the fault diagnosis in multiprocessor systems where testers must be positioned so that the faults can be exactly localized by considering only which testers detect fault in their neighborhoods.

Formally, given a graph G, a C subset of V(G) is called identifying code if it intersects the neighborhoods of the vertices in pairwise different nonempty sets. The goal is to find an
identifying code of minimum cardinality in a (twin-free) graph. Inspired by theoretical aspects and different types of applications, further variants of this definition were introduced.

The aim of the research is to estimate the minimum size of an identifying code and to develop exact/approximation algorithms under conditions imposed on the structure of the network.

Preliminary results can be found in the following publications:
[1] M.G. Karpovsky, K. Chakrabarty, L.B. Levitin, On a new class of codes for identifying vertices in graphs. IEEE Transactions on Information Theory, 44 (1998), 599–611.
[2] I. Charon, O. Hudry, A. Lobstein, Minimizing the size of an identifying or locating-dominating code in a graph is NP-hard. Theoretical Computer Science, 290 (2003), 2109–2120.
[3] F. Foucaud, G. Perarnau, Bounds for identifying codes in terms of degree parameters. Electronic Journal of Combinatorics, 19 (2012), #P32.

Number of students who can be accepted: 1

Deadline for application: 2018-06-22


2018. IX. 18.
ODT ülés
Az ODT következő ülésére 2018. október 5-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )