РАЗРАБОТКА ИМИТАЦИОННОЙ МОДЕЛИ ИСПОЛЬЗОВАНИЯ РОЯ БЕСПИЛОТНЫХ ЛЕТАТЕЛЬНЫХ АППАРАТОВ В СЕЛЬСКОМ ХОЗЯЙСТВЕ

Abstract

Introduction: Due to the rapid technological development of communication and network technologies and the emergence of the Internet of Things technology, unmanned aerial vehicles (UAVs) have become used in almost all areas of society, from military to civilian. Agriculture is one area where UAVs will be used to monitor vast areas of crops. UAVs will be able to receive data on the state of the soil, improve agriculture and use plant protection products from insects and birds. Consequently, agriculture will be the largest market for UAVs. Objective. The article discusses the possibility of using a swarm of unmanned aerial vehicles in hard-to-reach agricultural areas to create a wide coverage area for transmitting information from ground-based wireless sensor networks. Architectural solutions for flying sensor networks are investigated and a simulation model is presented that integrates flying sensor networks (LSNs) and terrestrial wireless sensor networks (WSNs) for data transmission. The model studies the clustering of an UAV swarm using the K-means method and the search for the shortest path in routing using the Dijkstra algorithm. Result. Computer simulation of optimal routing for a swarm of 250 UAVs has been carried out. The results of UAV swarm clustering modeling are presented, a UAV network clustering model is presented using the machine learning method the K-means algorithm, and an algorithm for routing data through the UAV swarm network using Dijkstra's algorithm, which finds the shortest path through the formed clusters.