g. This paper considers the impact of Internet of Things traffic, which is formed by monitoring and control systems or other systems, when the properties of this traffic are described by the properties of the regular flow. The impact of this traffic on such key QoS indicators as data delivery delay and probability of loss is estimated. As a model of communication network the system of queuing (SMO) with the combined discipline of service is considered. The analysis of trends in the development of the infocommunication system shows that the share of IP traffic in promising communication networks will significantly increase, which will lead to its impact on the quality of service .Given that the traffic in the network will also include telemetry traffic, this impact can have a significant impact on the quality of its service. Modern AD-HOC networks are based on the principle of “averaging”. According to statistics, many data streams with random variations in density will result in some average traffic. However, this approach does not work in networks prone to strong peak emissions. Such peculiar, time-localized “congestions” cause significant packet losses, even when the total demand of all flows is far from the maximum allowable values. This negatively affects the efficiency of network bandwidth utilization. The classical Poisson model of traffic, which was used in the design of network protocols, does not reflect the real reality: the data of real network traffic have the property of self-similarity.

This article discusses field tests and practical implementation of a low-voltage LED lighting system with renewable energy sources in an autonomous facility and the development of a model for optimal temperature control in an autonomous facility. The method of complex management of the power supply system using the Smart controller of the energy supply of the autonomous object is also considered. To implement the mathematical model, the Simulink and SimPowerSystems software for visual modeling included in the MatLab package was used. The use of this software allows you to simulate complex electrical systems. The advantage of using this program is the combination of methods of structural and simulation modeling, and this approach provides the flexibility of the system for the model being developed, greatly simplifies the model, and therefore increases the speed of calculations. When developing indoor temperature control systems, a number of problems arise, such as determining the time required the temperature to rise to provide the set values to the required moment, choosing the temperature control algorithm and determining the parameters of the selected algorithm. The task of choosing the control law and the type of controller is to choose such a controller, which at minimum cost and maximum reliability would provide the specified quality of regulation. In this article, the choice was made on the PID regulator, since with a jump-like change of the regulated value, the PID regulator at the initial moment of time has an infinitely large influence on the object of regulation. Then the magnitude of the influence drops sharply to the value determined by the proportional component, after which the integral component of the regulator begins to exert its influence constantly. The transient process in PID controllers has minimal deviations in amplitude and time compared to P and PI controllers (i.e., the highest speed).