title: The entropy approach construction of the optimal structure of the chain of the automated identification systems basic stations for inland waterways
metadata.name: dc.contributor.author
metadata.value: Karetnikov, Vladimir V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vasin, Andrei V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2018-07-18T12:05:31Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2018-07-18T12:05:31Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2018-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Karetnikov V. V., Vasin A. V. The entropy approach construction of the optimal structure of the chain of the automated identification systems basic stations for inland waterways. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2018, vol. 14, iss. 2, pp. 151–157.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11702/spbu10.2018.207
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/10445
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article deals with a constructive approach based on the entropy for constructing a
  quasi-optimal chain of automated identification systems (AIS) base stations on the inland
  waterways. The inland waterways of Russian Federation play an important role in providing
  the transport process while transporting various types of cargo and passengers. Here is
  a special way, it is worth noting the info-communication system of the first hierarchical
  level of the vessel control system. This class of AIS is the most promising for large-scale
  implementation of the inland waterways of Russian Federation. For the full-fledged operation
  of such info-communication systems on the inland waterways of Russian Federation, it is
  necessary to form a continuous information field, formed by sufficient overlapping of the
  working zones of the operation of AIS base stations connected in a chain. To estimate the
  optimal number of AIS base stations, we consider inland waterways as a fractal set. Therefore,
  it is convenient to estimate the number of stations forming a continuous coverage zone in
  terms of the Hausdorff measure. The problem is to find the minimal quantity of elements of
  the r-network for different r. This number is calculated by means of r-entropy Hr of the set
  under consideration. The entropy approach allows us to take into account the phenomenon
  of collapse of AIS base station coverage zone in case of interference with a useful signal of a
  spectrum-centered noise. This case corresponds to the entropy H of the set (the limit of Hr
  when r tends to 0).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 14; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: inland waterways
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: entropy of a set
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: automatic identification system
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: interference
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: safety of navigation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: relief
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: coverage area of AIS base station
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: The entropy approach construction of the optimal structure of the chain of the automated identification systems basic stations for inland waterways
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 07-Karetnikov.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/10445/1/07-Karetnikov.pdf
resources.format: Adobe PDF
resources.size: 487,2 kB