Analytical Model for Assessing the Reliability of Accounting Data of Telecommunication Infrastructure Facilities

Makhsum Makhmudov

doi:10.55524/ijircst.2026.14.3.1

Abstract

This article presents a method for quantitatively assessing the reliability of telecommunications infrastructure facility accounting data. This method combines the dynamics of facility changes, the rate of record updates, and the probability of input and processing errors. Changes to facilities and record updates are described as competing Poisson flows with intensities λo and λu, allowing for the generation of steady-state and dynamic estimates of data relevance. To interpret the system's operating modes, a degradation coefficient is introduced, characterizing the relative impact of changes on record maintenance processes. For a comprehensive assessment, an integrated indicator of information reliability is proposed, combining completeness, coordinate accuracy, topological consistency, attribute consistency, record relevance, and the impact of processing errors. An example of the method's application to a digital cadastre of telecommunications infrastructure is provided, demonstrating the model's potential for substantiating data update procedures and quality management measures.

Keywords

Telecommunication Infrastructure, Digital Cadastre, Data Reliability, Record Relevance, Degradation Coefficient, Stochastic Model, Information Reliability, Data Quality, Record Update Management, GIS.

References

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Cites this article as

M. Makhmudov "Analytical Model for Assessing the Reliability of Accounting Data of Telecommunication Infrastructure Facilities", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-14, Issue-3, Page No-1-7, 2026. Available from: https://doi.org/10.55524/ijircst.2026.14.3.1

Corresponding Author

Makhsum Makhmudov

Director, PhD, LLC UNICON.UZ, Tashkent, Uzbekistan

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Analytical Model for Assessing the Reliability of Accounting Data of Telecommunication Infrastructure Facilities

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