Optimization of air traffic control network structures in the presence of energy constraints

Authors

DOI:

https://doi.org/10.18372/2073-4751.75.18019

Keywords:

heterogeneous networks, network architecture, Saati hierarchy analysis method, decision stability

Abstract

The article examines the problems of information and telecommunication systems of air transport, which, on the one hand, are hard real-time systems, and, on the other hand, critical application systems. Based on the results of the analysis of promising information and communication and computer networks of critical application, it was found that the main problems for networks are their vulnerability to external interference of various origins, which worsens QoS indicators, in particular, performance. The process of analyzing energy and information characteristics of wireless networks of critical application is considered. The main criteria for assessing the quality of functioning of computerized air traffic control systems have been introduced and substantiated. The multidimensional functionality of the efficiency of the information-computing and control computer network - such a critical application system as the air traffic control system and the information-communication network of the air hub – has been determined. In order to constantly monitor network characteristics at the proper level, a method of calculating the current signal/(interference plus noise) ratio has been developed. According to the results of the analysis of the energy and information characteristics of the network, their relationship is established, which is not always obvious, but very indicative and useful, for example, for solving the tasks of multi-criteria parameter optimization and network state management. The solution to the problem of multi-criteria optimization is achieved due to the scalar approach to vector optimization through the method of analysis of Saati hierarchies. The stability of the solution is ensured by inserting random components into the priority matrix.

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Published

2023-11-01

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