Перегляд за Автор "Sushyn, Ihor O."

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  • Ескіз
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    Development of methods of positioning, localization and data collection from nodes of a free mobile sensor network using intelligent adaptive telecommunication aeroplatforms
    (National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 2021) Romaniuk, Valery A.; Lysenko, Olexandr I.; Novikov, Valery I.; Sushyn, Ihor O.
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    The program for assessing the connectivity of nodes of wireless episodic networks under the condition of using UAVS
    (National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2023) Sushyn, Ihor O.; Lysenko, Olexandr I.; Valuiskyi, Stanislav V.
    Background. Based on analytical mathematical models, the duration of connectivity of mobile subscribers (nodes) (MS) of a wireless episodic network (WEN, consisting of MS and UAV) was investigated in conditions of direct radio visibility and considering the relaying. Objective. The purpose of the work is to find methodological approaches to ensure the connectivity of WSN nodes, which is a necessary condition for obtaining information from WSN in the absence of communication infrastructure. Methods. Simulation modelling based on MAPLE 14 software package and analytical calculation methods are used. Results. It is shown that the duration of connectivity is directly proportional to the size of the coverage area and inversely proportional to the movement speed of nodes. The mobility nature (scenario) of nodes also affects the duration of connectivity. The simulation of the nodes' movement was carried out under 4 scenarios: "march", "incoherent", "random wandering in the field" and "random wandering in the city". The largest values of the connectivity duration correspond to the third scenario, and the smallest - to the second (with a fixed radius of the coverage area and the movement speed of nodes). Thus, the average connectivity duration of the UAV-pedestrian connection in the event of an "incoherent" will be about 36 minutes, and the UAV-car connection - about 5 minutes. Conclusions. The system and functional parameters of the networks, which were obtained as a result of the research, will form the basis of the initial data and limitations of the mathematical model, and will also make it possible to determine the initial placement of the UAV network at the planning stage.