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Microsystems, Electronics and Acoustics
ISSN 2523-4447 · e‑ISSN 2523-4455 Open Access · CC BY-SA 4.0
Vol. 23 · Issue 6 · 2018 Dec 28, 2018 Electronic Systems and Signals

By-Layer Decomposition Model for Evaluating the Integral Communication Path Utilization Efficiency with Account for Errors

TK
Tymofii Andriiovych Khodniev Corresponding Національний технічний університет України "Київський політехнічний інститут імені Ігоря Сікорського" Ukraine
OA
Oleksandr Ihorovych Antoniuk Національний технічний університет України "Київський політехнічний інститут імені Ігоря Сікорського" Ukraine
AV
Anton Yuriiovych Varfolomieiev Національний технічний університет України "Київський політехнічний інститут імені Ігоря Сікорського" Ukraine
OL
Oleksandr Mykolaiovych Lysenko Національний технічний університет України "Київський політехнічний інститут імені Ігоря Сікорського" Ukraine
Pages29-33 PublishedDec 28, 2018
VOL 23 · ISS 6 · 2018 View issue

Abstract

The paper presents the evolution of the previously proposed model for estimating the communication path utilization efficiency. The improved model allows to explicitly take into account the errors occurring in the communication path during data stream transmission, both based on the analysis of the actual captured communication path traffic and using a priori known probability characteristics of the transmission errors; provides the possibility of by-layer decomposition of the integral communication path utilization efficiency coefficient for analyzing the contribution of the network model individual layers and the corresponding protocols to the resulting efficiency; is considered more formalized and pragmatic. The model can be used to estimate the efficiency of communication path utilization by various streaming technologies, predicting the effect of errors on the resulting efficiency, investigating the weakly determined protocols, and also comparing the competing transmission technologies among themselves by the integral efficiency criterion. Ref. 11.

Keywords

References

  1. "IETF Internet Standards. RFC 7826 - Real-Time Streaming Protocol," [Online]. Available: https://tools.ietf.org/html/rfc7826 . [Accessed 18 Nov. 2018].
  2. "IETF Internet Standards. RFC 3550 - RTP: A Transport Protocol for Real-Time Applications," [Online]. Available: https://tools.ietf.org/html/rfc3550 . [Accessed 18 Nov. 2018].
  3. "AIA Association – Vision Standards. GigE Vision Main Page," [Online]. Available: https://www.visiononline.org/vision-standards-details.cfm . [Accessed 18 Nov. 2018].
  4. Khodniev T. A.; Varfolomieiev A. Y., "Ocenka effektivnosti ispol'zovaniya trakta svyazi protokolami RTSP-videoveshchaniya v zadachah peredachi videop [Evaluating the efficiency of communication path utilization by RTSP broadcasting protocols in tasks of real-time video sequences transmission]," in Conference materials of XIIth International Scientific Conference “Modern challenges in telecommunications”, Kyiv, Ukraine, 2018.
  5. Khodniev T. A.; Varfolomieiev A. Y.; Lysenko O. M.; Antonyuk O. I., "Comparison of RTSP and GigE Vision video streaming technologies in terms of communication path utilization efficiency: an experimental approach," in 2018 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo'2018), Odessa, Ukraine, 2018.
  6. R. M. Gray, Entropy and Information Theory, 2 ed., New York: Springer, 2011. ISBN 978-1-4419-7970-4.
  7. A. Ben-Naim, Information Theory, vol. Part I: An Introduction to the Fundamental Concepts, New Jersey: World Scientific, 2017. ISBN 978-981-3208-83-4.
  8. C. Chatfield, The Analysis of Time Series: An Introduction, 6 ed., Boca Raton: Chapman and Hall/CRC, 2003.ISBN 9781584883173.
  9. V. Olifer and N. Olifer, Kompiuternie seti. Printsipi, tehnologii, protokoly. [Computer networks. principles, technologies, protocols], 5 ed., St. Petersburg: Piter, 2016. ISBN 5-469-00504-6.
  10. W. Turin and M. M. Sondhi, “Modeling error sources in digital channels,” IEEE Journal on Selected Areas in Communications, vol. XI, no. 3, p. 340–347, 1993. DOI: 10.1109/49.219549.
  11. M. H. DeGroot and M. J. Schervish, Probability and statistics, London: Pearson Education, 2012. ISBN 9780201524888.
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