Fuzzy optimization of heterogeneous smart city server networks under uncertainty in mountainous terrain

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.360833

Keywords:

fuzzy inference systems, heterogeneous networks, resource allocation, energy resource optimization, fault tolerance, computing network in a smart city

Abstract

The object of this study is a heterogeneous smart city server network consisting of distributed computing nodes and based on processing data streams from multiple sources. This article examines the efficiency, reliability, and adaptability of a heterogeneous smart city server network under conditions of uncertainty, dynamic load, and information insecurity. A comparative analysis of modern methods for managing information resources in heterogeneous server networks applied to smart city infrastructure is provided.

The advantages and feasibility of using a fuzzy optimization method to improve the efficiency of a heterogeneous smart city server network are substantiated. Based on measurement data from vision, transport, and energy supply sensors, a network architecture for the server infrastructure of the Shusha smart city system, located in the Karabakh region of Azerbaijan, is proposed.

To solve this problem, the advantages of a fuzzy optimization model are substantiated, and it is found that this model can improve the performance of the Shusha smart city heterogeneous server network under uncertainty. To address this problem, a new method for stage-by-stage fuzzy modeling of energy loads arising from influencing meteorological parameters and potential failures was proposed. Unlike traditional deterministic and stochastic optimization methods, the applied fuzzy optimization method allowed for a more detailed study of external factors in the Shusha smart city system, uncertainty regarding the grid power supply, operational reliability, and the criticality of network performance parameters. The results obtained during the study show that processing time is reduced by up to 30%, and fault tolerance of the entire system is increased. This method ensures efficiency and practical application for the development and operation of a heterogeneous server in the Shusha smart city system

Author Biographies

Javanshir Mammadov, Sumgait State University

Doctor of Technical Sciences

Department of Automation and Mechanic

Esmira Mehbaliyeva, Sumgait State University

PhD

Department of Mathematic and Informatics

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Fuzzy optimization of heterogeneous smart city server networks under uncertainty in mountainous terrain

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Published

2026-06-26

How to Cite

Mammadov, J., & Mehbaliyeva, E. (2026). Fuzzy optimization of heterogeneous smart city server networks under uncertainty in mountainous terrain. Eastern-European Journal of Enterprise Technologies, 3(4 (141), 18–31. https://doi.org/10.15587/1729-4061.2026.360833

Issue

Vol. 3 No. 4 (141) (2026): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2026 Javanshir Mammadov, Esmira Mehbaliyeva

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