Development of a method of analysis of energy and information characteristics of wireless networks of critical application under conditions of limitations on the signal/(interference plus noise) ratio

Abstract

The object of the research, the results of which are presented in the article, is the process of analyzing the energy and information characteristics of wireless networks of critical application. The presented article examines the problems of information and telecommunication systems of air transport as hard real-time systems. Thanks to the development of methods for analyzing the bandwidth of heterogeneous networks that function under the conditions of external interference, caused, among other things, by the random nature of multiple access, the asymptotic characteristics of networks and their dependence on the number of network and terminal nodes, the size of the network as a whole, were obtained. The specificity of wireless networks is the propagation of signals through a free environment, that is, fundamentally open access to signals as carriers of information that is transmitted from one subscriber to another. 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. Therefore, in addition to the general problems of managing information and telecommunication networks, the problems of protection against unauthorized interference and external interference of various origins are quite acute in wireless networks. 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 optimization of parameters and management of the network state.