ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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11
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vol 67 / November, 2024
Article

DOI 10.17586/0021-3454-2021-64-12-959-964

UDC 007.52:621.39

CONTENT DELIVERY MODEL IN MOBILE NODE NETWORKS IN RESOURCE-CONSTRAINED ENVIRONMENTS

S. V. Kuleshov
St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS), Laboratory of Research Activities Automation;


A. A. Zaytseva
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Laboratory of Research Automation ; Senior Scientist


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Abstract. The features of data transmission in infocommunication systems, including in the development of mobile node networks, are considered. The aim of the work is to solve the problem of synchronizing the content in the area description map between individual mobile nodes of the mobile network. A model of content delivery in mobile nodes networks in conditions of limited resources, is developed. The model advantage is provision of the possibility of guaranteed data transmission in emergency, adverse, or unfavorable situations. A distinctive feature of the proposed model is the use of active data technology and the ability to actively manage the data delivery plan. The use of the proposed model as the basis of the protocol for transferring data between network nodes makes it possible to flexibly control the delivery of data fragments that are required by the consumer node from the source node in a specific situational situation to eliminate its ignorance. To formalize the model, a set-theoretical record of the structure of synchronized data is applied, accounting for the time stamps of the conditions for the relevance of such data. Based on the description of the content synchronization conditions in the area description map between individual nodes of the mobile network, a software model of such a network is developed to assess the possibility of reducing traffic between nodes.
Keywords: data transmission, communication environment, modeling, active data, robotic systems, networks of mobile nodes

References:
  1. Kuleshov S.V., Zaytseva A.A. Journal of Instrument Engineering, 2020, no. 11(63), pp. 1020–1026. (in Russ.)
  2. Li X., Yan J. Proc. IEEE Symposium on Computers and Communications (ISCC), Heraklion, 2017, рр. 1079–1083.
  3. Jawhar I., Mohamed N., Al-Jaroodi J. et al. J. Netw. Comput. Appl., 2017, vol. 84, рр. 93–108.
  4. Li T., Mastorakis S., Xu X., Zhang H., and Zhang L. Proc. of the 5th ACM Conference on Information-Centric Networking (ICN '18), Association for Computing Machinery, New York, NY, USA, 2018, рр. 186–187.
  5. Liu C., Lai C. Wireless Networks, 2018, no. 7(24), pp. 2465–2482.
  6. Goh K.C.W., Ng R.B.C., Wong Y.K. et al. Multimed Tools Appl., 2021, vol. 80, рр. 18125–18150.
  7. Demish V.O., Pishchik B.N. Vestnik NSU. Series: Information Technologies, 2013, no. 4(11), pp. 46–58. (in Russ.)
  8. Trofimov V.V., Zavyalov D.V. Izvestia Volgograd State Technical University, 2015, no. 6, pp. 87–90. (in Russ.)
  9. Kuleshov S.V., Aksenov A.Y., Zaytseva A.A. Advances in Intelligent Systems and Computing, 2017, vol. 575, рр. 326–330.
  10. Kuleshov S.V., Zaytseva A.A., Aksenov A.Y. International Journal of Intelligent Unmanned Systems, 2018, no. 4(6), pp. 174–183, DOI 10.1108/IJIUS-04-2018-0010. Data on authors