Електронний репозитарій ПДАУ
Полтавський державний аграрний університет
Електронний репозитарій (сховище, архів) наукових публікацій – електронний архів результатів науково-дослідної роботи, публікацій науковців, викладачів, аспірантів та студентів університету, кваліфікаційних робіт студентів для їх централізованого зберігання та надання відкритого доступу до них світовій академічній спільноті у режимі онлайн.
Нові надходження
Methodical approach to assessing the state of hierarchical systems using a metaheuristic algorithm
(Eastern-European Journal of Enterprise Technologies, 2024-10-30) Shyshatskyi, A.; Kashkevich, S.; Kyrychenko, I.,; Khakhlyuk, O.; Kubrak, V.; Kоval A.; Kоval O.; Protas, N. M.; Stryhun, V.; Kuzminov, I.; Протас, Надія Михайлівна
The object of the study is hierarchical systems. The subject of the study is the process of assessing the state of hierarchical systems using the advanced antlion algorithm (ALA), an advanced genetic algorithm and evolving artificial neural networks. The problem solved in the study is to increase the efficiency of assessing the state of hierarchical systems, regardless of the system hierarchy level. The originality of the study is that:
– the initial setting of ALA is carried outtaking into account the type of uncertainty using appropriate correction factors for the degree of awareness of anthill location (priority search directions);
– the initial velocity of each ALA is taken into account, which allows determining the priority of search by each ALA in the specified search direction;
– the fitness of ALA hunting locations is determined, which reduces the time for assessing the state of the hierarchical system;
– the use of the procedure of global restart of the algorithm, which allows the algorithm to go beyond the current optimum and improve the exploration ability of the algorithm, which reduces the time for assessing the state of hierarchical systems;
– the possibility of clarifying the choice of an anthill at the hunting stage due to ranking anthills by the level of ant pheromone;
– improved ability to select the best ALA in comparison with random selection using an advanced genetic algorithm, which improves the reliability of assessing the state of complex hierarchical systems.
Analysis of mathematical models of mobility of communication systems of special purpose radio communication systems
(Technology Audit and Production Reserves, 2021-07-31) Nalapko, O.; Sova, O.; Shyshatskyi, A.; Hasan, A.; Velychko, V.; Trotsko, O.; Merkotan, D.; Protas, N. M.; Lazuta, R.; Yakovchuk О.; Протас, Надія Михайлівна
The object of research is the military radio communication system. One of the problems in improving the effectiveness of military radio communication systems is the correct description of the movement process in them. Efficient routing protocols are only possible if reliable information on network topology for network nodes is available. Thus, with this information, packets can be forwarded correctly between the sender and the recipient. Given that the mobility of individual nodes is insignificant in special wireless networks, nodes in the network show the mobility properties of a group of nodes. This observation is directly related to the very existence of military wireless networks with the ability to organize themselves, that is, to support group cooperation and group activities. In this work the problem of analysis (decomposition) of the mobility models of military radio communication networks with the possibility of self-organization is solved. The classification of mobility patterns, the description of individual mobility models and the analysis of various aspects currently available, as well as those properties lacking in the attempt to simulate the movement of individual nodes, have been carried out. During the research, the analysis of random, semi-deterministic and deterministic models was carried out. The advantages and disadvantages of the above models have been identified.
Analysis of methods for increasing the efficiency of dynamic routing protocols in telecommunication networks with the possibility of self-organization
(Technology Audit and Production Reserves, 2021-09-23) Nalapko, O.; Sova, O.; Mardani, A.; Protas, N. M.; Kravchenko, S.; Solomakha, A.; Neroznak, Y.; Gaman, O.; Merkotan, D.; Miahkykh, H.; Протас, Надія Михайлівна
The object of research is the military radio communication system. Effective operation of routing protocols is possible only if there is reliable information about the network topology for network nodes, given that the mobility of individual nodes is insignificant in special purpose wireless networks. Because nodes in the network demonstrate the mobility property of the node groups. This paper solves the problem of the analysis (decomposition) of methods of protocols efficiency increase of dynamic routing in telecommunication networks with a possibility to self-organization. In the course of the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. This research analyzes various methods to increase the efficiency of dynamic routing protocols. Energy efficiency methods focus on three main components in energy management: battery management, transmission energy mana- gement and system energy management methods. Reliable multicast has become indispensable for the successful deployment of special purpose wireless networks, such as in tactical military operations and emergency operations.
Development of a simulation model for a special purpose mobile radio network capable of self-organization
(Technology Audit and Production Reserves, 2021-09-23) Sova, O.; Shyshatskyi, A.; Nalapko, O.; Trotsko, O.; Protas, N. M.; Marchenko, H.; Kuvenov, A.; Chumak, V.; Onbinskyi, Y.; Poliak, I.; Протас, Надія Михайлівна
The object of research is the military radio communication system. Effective operation of routing protocols is possible only if there is reliable information about the network topology for each of the network nodes. Construction of special purpose radio networks with the possibility of self-organization is possible only in the presence of adequate and reliable models of their work in different applications and the impact nature. It necessitates the development of new and adequate algorithms (methods, techniques) for modeling routing algorithms in special purpose radio networks with the possibility of self-organization. This work solves the problem of developing a simulation model of a mobile radio network for special purposes with the possibility of self-organization.
In the course of the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. This simulation model was developed to assess the effectiveness and adequacy of the developed scientific and methodological apparatus for routing management in special purpose radio networks with the possibility of self-organization.
Development of a mathematical model of radio resource management of special purpose radio communication systems based on an evolutionary approach
(Technology Audit and Production Reserves, 2021-12-30) Shyshatskyi, A.; Ovchynnyk, V.; Momotov, A.; Protas, N. M.; Solomakha, A.; Протас, Надія Михайлівна
The object of research is a special-purpose radio communication system. A special purpose radio communication system is affected by many different destructive influences. The main ones are deliberate interference and cybernetic impact of various purposes. The above causes the search for new scientific approaches to identify and identify the destructive impact on special-purpose radio communications in order to increase the operational efficiency of specialpurpose radio communications systems. In this work, the problems of developing a mathematical model for managing the radio resource of special-purpose radio communication systems based on the evolutionary approach are solved. In the course of the research, the authors of the work used the main provisions of the theory of artificial intelligence, the theory of automation, the theory of complex technical systems, as well as general scientific methods of cognition, namely analysis and synthesis. The proposed methodological approach was developed taking into account the practical experience of the authors of this work during military conflicts of the last decade.