Treffer: Network Decontamination

Title:
Network Decontamination
Authors:
Contributors:
Combinatorics, Optimization and Algorithms for Telecommunications (COATI), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-COMmunications, Réseaux, systèmes Embarqués et Distribués (Laboratoire I3S - COMRED), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA), Inria & Université Nice Sophia Antipolis, CNRS, I3S, Sophia Antipolis, France, ANR-11-LABX-0031,UCN@SOPHIA,Réseau orienté utilisateur(2011)
Source:
[Research Report] Inria & Université Nice Sophia Antipolis. :1-30
Publisher Information:
CCSD, 2018.
Publication Year:
2018
Collection:
collection:UNICE
collection:CNRS
collection:INRIA
collection:INRIA-SOPHIA
collection:I3S
collection:INRIASO
collection:INRIA_TEST
collection:TESTALAIN1
collection:INRIA2
collection:TDS-MACS
collection:LARA
collection:UNIV-COTEDAZUR
collection:TEST-HALCNRS
collection:ANR
collection:TEST-NICE
Original Identifier:
HAL: hal-01814161
Document Type:
Report report<br />Reports
Language:
English
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.01814161v2
Database:
HAL

Weitere Informationen

The Network Decontamination problem consists in coordinating a team of mobile agents in order to clean a contaminated network. The problem is actually equivalent to tracking and capturing an invisible and arbitrarily fast fugitive. This problem has natural applications in network security in computer science or in robotics for search or pursuit-evasion missions. In this Chapter, we focus on networks modeled by graphs. Many different objectives have been studied in this context, the main one being the minimization of the number of mobile agents necessary to clean a contaminated network. Another important aspect is that this optimization problem has a deep graph-theoretical interpretation. Network decontamination and, more precisely, graph searching models, provide nice algorithmic interpretations of fundamental concepts in the Graph Minors theory by Robertson and Seymour. For all these reasons, graph searching variants have been widely studied since their introduction by Breish (1967) and mathematical formaliza-tions by Parsons (1978) and Petrov (1982). This chapter consists of an overview of algorithmic results on graph de-contamination and graph searching.