Перегляд за Автор "Lysenko, Olexandr I."
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Документ Відкритий доступ 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.Документ Відкритий доступ Evaluating the functioning effectiveness of sensor ground-to-air network using multiple UAVS layers and directional antennas(National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2024) Sushyn, Ihor O.; Ivashchev, Daniil V.; Lysenko, Olexandr I.Background. Based on the theoretical and practical (using Atoll) calculation of radio communication lines and antenna devices were estimated the main network parameters (throughput, length of the data transmission route, delays, number of network elements) of proposed ground to air network (GAN) architecture. Objective. The purpose of the work is to evaluate the effectiveness of mobile networks with directed action sensors using UAVs at different levels. Methods. Simulation modelling of two mathematical models and their comparison using MATLAB software. Results. It is shown that the throughput decreases with the increase of the data transmission route, while the delay and the number of network elements increase in accordance with the previous study. Changing the location of the nodes also affects the parameters evaluated, so 10,000 measurements were made to obtain the required amount of statistical data. Two mathematical models were created. The first model is based on an existing mobile omnidirectional sensor network using a single UAV layer while the second one is based on a mobile network of directional sensors using two levels of UAVs. In both models, the data was transmitted from the nodes to the pseudo-satellite. In the proposed model, the following average values were achieved: throughput - 852071 bits/s, number of network elements - 4.4, route length - 33673 meters. Conclusions. According to the obtained results, it can be argued that the proposed two-level UAV location model using directional sensors can be effectively used to maintain the connectivity of a mobile sensor network with the achievement of a gain in the evaluated indicators.Документ Відкритий доступ Feasibility reasoning of creating ultra-low orbit communication systems based on small satellites and method of their orbits designing(National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 2020) Lysenko, Olexandr I.; Sparavalo, Miroslav K.; Tachinina, Olena M.; Yavisya, Valerii S.; Ponomarenko, Sergiy O.Документ Відкритий доступ Increasing the efficiency of data gathering in clustered wireless sensor networks using UAV(National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 2020) Romaniuk, Valery A.; Lysenko, Olexandr I.; Romaniuk, Anton V.; Zhuk, Olexandr V.Документ Відкритий доступ Intelligent control system for WSN and MANET(National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 2019) Lysenko, Olexandr I.; Sparavalo, Miroslav K.; Romaniuk, Valery A.; Valuiskyi, Stanislav V.Документ Відкритий доступ Mathematical model and method of maintaining connectivity in a mobile network with directed action sensors using telecommunication aerial platforms at different location levels(National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2025) Sushyn, Ihor O.; Lysenko, Olexandr I.; Tymofeiev, Yevhenii M.; Novikov, Valeriy I.Background. In conditions of modern and forecasted natural and man-made emergencies, mobile sensor networks (MSNs) with telecommunication aerial platforms (TAPs) for effective functioning need to have an energy reserve almost an order of magnitude larger than the current energy reserve. Moreover, existing networks of this type have an unacceptably high delay for information transmission, a low speed of its transmission from node to endpoint, and require the use of an extremely large number of telecommunication aerial platforms to maintain continuous connectivity.Objective. Delay reduction, end-to-end information transmission speed enhancement, and a decrease in the number of TAPs in a mobile sensor network with TAPs, while operating in an emergency zone, where there is no telecommunications infrastructure. Methods. Analysis of literature and modern research related to the topic of ways to improve and evaluate the effectiveness of mobile sensor networks with telecommunication aerial platforms. Identification of strategies and tools employed by researchers in the creation of mathematical models and methods. Development of a mathematical model that allows modelling both the conditions of existence and absence of connectivity for a mobile-directed action sensor network (MDASN) with TAP at different location levels and energy support, and that computes the numerical values of the vector-criterion components used for quantitative appraisal of the effectiveness of this connectivity. Development of maintaining a MDASN connectivity method using TAP at different location levels that solves the stated multi-criteria problem. Results. A significant scientific and technical problem was solved regarding the development of a mathematical model and method of using directed action sensors as part of a mobile sensor network using a two-level spatial arrangement of telecommunication aerial platforms with different energy support to maintain this type of connectivity, which allows achieving a reduction in the average delay time during information transmission and telecommunication aero-platforms quantity directly involved in each information transmission session while increasing the average end-to-end information transmission speed. Conclusions. Based on the obtained results, it can be stated that using the developed mathematical model enables simulation modelling in Matlab computer mathematics system, and method can be used in an expert modelling decision-making system for managing search-and-rescue robots.Документ Відкритий доступ Synthesis of data collection methods by telecommunication airplatforms in wireless sensors networks(National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 2020) Romaniuk, Anton V.; Romaniuk, Valery A.; Sparavalo, Myroslav K.; Lysenko, Olexandr I.; Zhuk, Olexandr V.Документ Відкритий доступ 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.Документ Відкритий доступ Методи підвищення пропускної здатності епізодичних радіомереж із використанням телекомунікаційних аероплатформ(НТУУ "КПІ", 2014) Лисенко, О. І.; Лысенко, А. И.; Lysenko, Olexandr I.; телекомунікацій; Інститут телекомунікаційних систем; Національний технічний університет України "Київський політехнічний інститут"