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Improved kernels for tracking paths

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00363316" target="_blank" >RIV/68407700:21240/23:00363316 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.ipl.2023.106360" target="_blank" >https://doi.org/10.1016/j.ipl.2023.106360</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ipl.2023.106360" target="_blank" >10.1016/j.ipl.2023.106360</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improved kernels for tracking paths

  • Original language description

    Tracking of moving objects is crucial to security systems and networks. Given a graph G, terminal vertices s and t, and an integer k, the Tracking Paths problem asks whether there exists at most k vertices, which if marked as trackers, would ensure that the sequence of trackers encountered in each s-t path is unique. It is known that the problem is NP-hard and admits a kernel (reducible to an equivalent instance) with O(k6) vertices and O(k7) edges, when parameterized by the size of the output (tracking set) k [4]. In this paper we improve the size of the kernel substantially by providing a kernel with O (k2) vertices and edges for general graphs and a kernel with O (k) vertices and edges for planar graphs. We do this via a new concept, namely a tree-sink structure. We also show that finding a tracking set of size at most n - k for a graph on n vertices is hard for the parameterized complexity class W[1], when parameterized by k

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Information Processing Letters

  • ISSN

    0020-0190

  • e-ISSN

    1872-6119

  • Volume of the periodical

    181

  • Issue of the periodical within the volume

    March

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000926373100001

  • EID of the result in the Scopus database

    2-s2.0-85146593384