USING A GENETIC ALGORITHM FOR TELEMEDICINE NETWORK OPTIMAL TOPOLOGY SYNTHESIS

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dc.contributor.authorЦарьов Р. Ю.
dc.contributor.authorTsaryov R.
dc.contributor.authorНікітюк Л. А.
dc.contributor.authorNikitiuk L.
dc.contributor.authorТимченко І.
dc.contributor.authorTymchenko I.
dc.contributor.authorКумиш В.
dc.contributor.authorKumysh V.
dc.contributor.authorШулакова К. С.
dc.contributor.authorShulakova K. S.
dc.contributor.authorСідень С. В.
dc.contributor.authorSiden S. V.
dc.contributor.authorБоднар Л.
dc.contributor.authorBodnar L.
dc.date.accessioned2025-01-15T12:31:00Z
dc.date.available2025-01-15T12:31:00Z
dc.date.issued2024
dc.descriptionUsing a genetic algorithm for telemedicine network optimal topology synthesis / Tsarоv R. [et al.] // Proceedings of the 12th International Conference on Applied Innovations in IT (Koethen, 7 Маrch 2024). Koethen, 2024. Vol.12. №1. Р. 19-24.
dc.description.abstractA method based on a genetic algorithm is proposed for synthesizing the optimal topological structure of telemedicine network, ensuring that the distribution of users (with a known location) by telemedicine stations (the number and location of which are also known) is optimal in terms of signal delay time during transmission and the cost of network deployment. The method uses: random generating of a base population, a tournament selection of chromosomes among two pairs for crossover, and a homogeneous crossover operator. The results of benchmarking the proposed method are presented. The experiment reveals that the resulting solution is indeed close to optimal, i.e. due to the use of a genetic algorithm, the method avoids falling into the trap of a local extremum. While the current study focused on a specific telemedicine network, future research could explore the scalability of this genetic algorithm approach for larger-scale networks and consider additional factors such as energy efficiency and fault tolerance.
dc.identifier.isbn978-3-96057-175-9
dc.identifier.urihttp://193.186.15.27:4000/handle/123456789/636
dc.language.isoen
dc.publisherAnhalt University of Applied Sciences
dc.subjecttelemedicine
dc.subjecttelemedicine network
dc.subjecttopology synthesis
dc.subjecttopology optimization
dc.subjectgenetic algorithm
dc.subjectтелемедицина
dc.subjectтелемедична мережа
dc.subjectсинтез топології
dc.subjectоптимізація топології
dc.subjectгенетичний алгоритм
dc.titleUSING A GENETIC ALGORITHM FOR TELEMEDICINE NETWORK OPTIMAL TOPOLOGY SYNTHESIS
dc.title.alternativeВИКОРИСТАННЯ ГЕНЕТИЧНОГО АЛГОРИТМУ ДЛЯ СИНТЕЗУ ОПТИМАЛЬНОЇ ТОПОЛОГІЇ ТЕЛЕМЕДИЧНОЇ МЕРЕЖІ
dc.typeArticle

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