Background. To collect monitoring data from the nodes of the wireless sensor network in the absence of public telecommunications infrastructure, it is proposed to use telecommunications aerial platforms (TA), built on the basis of UAVs. Each telecommunication aerial platform acts as a mobile gateway, dynamically creates virtual clusters in the network, determines the data collection points in the clusters and their flight paths, forms a schedule and exchanges data with cluster nodes depending on their location coordinates relative to the TA flight path, battery power level and volume of monitoring data. Objective. The aim of the paper is to improve the efficiency of data collection from wireless sensor network nodes by telecommunication aerial platforms. Methods. Unlike existing data collection methods, the proposed method: uses the FOREL (FORmal ELement) cluster analysis method for clustering the network, new rules for selecting data collection points and rules for data transmission between TA and cluster nodes to achieve the specified target control functions: minimization of TA data collection time, maximization of network operation time, minimization of used TA. Results. The proposed monitoring data collecting method by TA from the nodes of the wireless sensor network allows increasing the efficiency of achieving a given target control function (reduce the time of data collection, increase the time of network operation, reduce the number of telecommunication aerial platforms used). Conclusions. The implementation of the proposed method into the specialized software of the wireless sensor network control system will improve the efficiency of the sensor node data collection process by telecommunication aerial platforms. Keywords: wireless sensor network; data collection method; network clustering; telecommunication aerial platform.

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Background. To implement the process of collecting UAV monitoring data from sensor nodes in the wireless sensor networks (WSN) control system, it is necessary to implement appropriate methods and algorithms. To increase the efficiency of the data collection process in the WSN, it is clustered, the main cluster nodes are selected that collect monitoring data in the cluster and transmit this data to the UAV when it approaches. The methods proposed today for collecting data from nodes of sensor networks using UAVs do not consider the requirements of various target control functions, especially the functioning of specific networks and require further improvement. Objective. The aim of the work is to analyze and consider ways to improve the efficiency of the process of collecting data from sensor nodes of the WSN using UAVs during its clustering. Methods. In contrast to the traditional ways to solve the problem of collecting UAV monitoring data from WSN nodes, a set of methods is proposed to achieve various objective control functions (maximizing WSN functioning time, minimizing data collection time, minimizing the number of UAVs) at various stages of network operation. Results. The application of the proposed methods to increase the efficiency of monitoring data collection allows increasing the network lifetime, reducing data collection time and reducing the number of UAVs required for data collection. Conclusions. To achieve various target management functions at the main stages of monitoring data collection in wireless sensor networks, many methods have been proposed to improve the basic indicators of their functioning.

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Аннотация: Предложен алгоритм кластеризации в беспроводных сенсорных сетях (БСС) с помощью беспилотного летательного аппарата (БпЛА), выполняющего роль временного главного узла кластера. Данный алгоритм кластеризации основан на модифицированном алгоритме FOREL, позволяющий минимизировать количество точек съема информации (кластеров) в маршруте облета и оптимизировать зону радиосвязности БпЛА. Предложены правила уменьшения расхода энергии узлов при взаимодействии с БпЛА.Ключевые слова: беспроводные сенсорные сети, кластеризация, FOREL, сбор информации c БпЛА.