МЕТОД ВИМІРЮВАННЯ ВІДСТАНІ У БЕЗДРОТОВИХ СЕНСОРНИХ МЕРЕЖАХ МІКРОПРОЦЕСОРНИМ ЧАСТОТОМІРОМ

Abstract

Background. Currently, there is a problem of limited resources of individual nodes of sensor networks, to solve many problems (including positioning), there is a need to develop methods for joint work of all nodes of the network. One of such tasks is the task of localization of nodes of the sensor network with self-organization. It consists in determining the coordinates of individual sensors without the use of external infrastructure. The problem of localization has been extensively studied in the past, as information on the location of objects or people is important in many applications, and a large number of systems have been developed to address them. The most famous of these is the Global Positioning System (GPS). However, the GPS approach cannot be applied to WSN due to its requirements for a large number of additional infrastructures (e.g. satellites). Methods. In this paper methods of complex systems analysis and synthesis as well as computer simulation are used. Results. In this study, it is proposed to use the method of measuring the distance between objects, based on the time of arrival of the signal. The estimation of error of measurement of frequency, at measurement of high and low frequencies is given. It is determined that in the study of periodic processes in a wide range of frequencies to achieve a given accuracy, it is advisable to use a digital frequency meter in the high frequency range, and in the low frequency range to move to period measurement. Research has been conducted and graphs of quantization errors in frequency and period measurement have been constructed. An algorithm of microprocessor frequency meter operation is built, which allows studying periodic processes in a wide range. The block diagram of the microprocessor frequency meter is offered, which allows implementing the given algorithm. Сonclusions. Implementation of the designed microprocessor frequency meter allows one substantially increase efficiency of wireless censor networks due to more precise measurements of the network elements positions.