PREDICTING TELEMETRIC DATA OF IoT DEVICES

Abstract

The solution of the problem of predicting telemetry data of IoT devices obtained using the Open Source resource Net Flow Analyzer is considered. The spline extrapolation method based on the cubic Hermite spline is used for short-term forecasting. It has been established that the obtained results of predicting the telemetry traffic of IoT devices will provide the necessary forecast accuracy and the possibility of using it for various IoT applications in order to prevent network congestion, especially in conditions of maximum network load.