Models of restoration of signals in technologies of internet things on the basis of spline filters

DOI: 10.31673/2412-4338.2018.043239

Abstract

An approach to enhance the effectiveness of processing information signals in wireless networks on the basis of LoRaWAN protocol is introduced. This protocol is used to connect devices in a single control system of the Internet of things concept. Also, this protocol allows for covering a large range of activities with lower power consumption. With that, the main task was identified - to increase the number of channels in one frequency band. Models of information signals are proposed on the basis of fundamental trigonometric splines. It is shown that these models take into account the differential properties of information signals during the modulation stage. The main advantage is that the calculation of values of fundamental trigonometric splines can be done in real time. A method of information signal restoration in the communication system with the help of binary signal interpolation using fundamental trigonometric splines is proposed. With the use of this approach, effective detection of signal on the noise background is conducted by a spline filter based on the trigonometric spline. The stability of communication system is defined with the help of the signal error probability parameter in the signal-to-noise ratio. It is demonstrated that the use of fundamental trigonometric splines in the communication system allows for reproducing information signals with a lower margin of error in demodulation output. On the basis of these models, it is recommended to create methods that will allow for the increase in the number of connected devices in the single control system, thus increasing the number of channels in one frequency domain.

Key words: Internet of things, information signals, fundamental trigonometric splines, communication networks, LoRaWAN, error probability, spline filters.

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