Abstract
Currently, various types of robotic systems are used to collect primary data. For example, UAVs can be used to collect various types of melon required for analyzing the effectiveness of agricultural operations and predicting the yield of certain types of crops. The problem of the transfer of information accumulated by the UAV, its analysis and making management decisions remains an urgent task. As a rule, wireless sensor networks are used to transfer data to a UAV, the main problem of which is the low bandwidth of the channel. To improve the efficiency of data transmission over low-speed communication channels and the subsequent processing of the information flows of the UAVs, it is necessary to develop traffic routing methods. As part of the study, an approach has been developed that allows taking into account not only the state of the communication channel at the current time but also to predict its characteristics ahead of time.
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