@article{Pobedinsky_Pobedinsky_Sannikov_2019, title={Modeling of a Forest Monitoring System to Control the Movement of Forest Materials Based on Radio-frequency Method}, volume={4}, url={https://knepublishing.com/index.php/KnE-Life/article/view/5592}, DOI={10.18502/kls.v4i14.5592}, abstractNote={<p><strong>Introduction.</strong> The article discusses the topical problem of designing a specialized forest resources tracking system. The analysis of domestic and foreign literature on the creation of monitoring information systems is carried out. One of the requirements for the system should take into account the instantaneous receipt of information about the state of the forest environment, take into account the specificity of the variability of many parameters of the forest environment, which may vary to a large extent, compliance with many rules regulated by legislation in the field of forest management. On the basis of the requirements presented the system of RFID-devices. <strong>Materials and methods.</strong> The materials used were wireless sensors, an information system for information collection and notification. Methodological work is based on the theory of radio waves propagation of different frequencies, mathematical statistics and experimental theory. <strong>Results. </strong>The results of the research are radio waves passing through a certain number of obstacles in the forest area, reflecting their geometric dimensions, determined by the parameter characterizing the occupancy of the channel resource, necessary for the transfer of information. <strong>Discussions and conclusions.</strong> The scientific novelty of the researches offers an information system of control over the forest resources, the monitoring of which is carried out continuously, taking into account all the necessary requirements, namely: the absence of harmful radiation, efficiency, energy consumption, durability, the propagation of radio waves at not prohibited frequencies for the Russian Federation, the definition of natural parameters, the detection of movement, the detection of fire at the initial stage.</p&gt;}, number={14}, journal={KnE Life Sciences}, author={Pobedinsky, Andrey and Pobedinsky, Vladimir and Sannikov, Sergey}, year={2019}, month={Nov.}, pages={105-113} }