Leichenko K. Methods and tools for planning the deployment of flying networks to ensure data transmission in conditions of devastation.

Українська версія

Thesis for the degree of Doctor of Philosophy (PhD)

State registration number

0824U002059

Applicant for

Specialization

  • 123 - Комп’ютерна інженерія

05-06-2024

Specialized Academic Board

ID 5708

National Aerospace University "Kharkiv Aviation Institute"

Essay

The Thesis is devoted to the development of methods and software tools to support the deployment of unmanned flying LiFi networks to ensure data transmission in conditions of devastation, taking into account the requirements for time and reliability characteristics. The object of the study is the processes of deploying flying networks to ensure data transmission in conditions of devastation. For the first time, methods for planning the placement of unmanned aerial vehicles (UAVs) of a flying LiFi network to ensure data transmission in conditions of destruction are proposed, which, unlike the known ones, take into account the structural and spatial parameters of obstacles and are based on a combination of route planning algorithms using different strategies for their bypass, and make it possible to minimize the length of the route and/or the number of required UAVs. The method of placing UAVs in a flying LiFi network to ensure data transmission in conditions of devastation has been improved by forming and selecting flight routes to specific points in space to form a network, taking into account various options for UAV basing, which reduces the total time and cost of network deployment. The method of increasing the reliability of a flying LiFi network has been improved by developing a model and algorithms for proactive replacement of UAVs, taking into account the requirements for the probability of network uptime, reliability and autonomy of individual UAVs, which ensures guaranteed network operation for a given time.

Research papers

1. Pevnev V., Plakhteev A., Tsuranov M., Zemlianko H., Leichenko K. “Smart City” Technology: Conception, Security Issues and Cases. Lecture Notes in Networks and Systems. 2022. Vol 367. P. 207–218.

2. Leichenko K., Fesenko H., Kharchenko V. Deploying the Reliable UAV Swarm for Providing P2P LiFi Communications Considering Physical Obstacles: Method of Rectangles, Algorithms, and Tool. Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2023) : Proc. 12th IEEE Int. Conf., Dortmund, Germany, Sept. 07–09, 2023. P. 1011–1016.

3. Leichenko K., Fesenko H., Borges J., Kharchenko V. Search for the Shortest Route Considering Physical Obstacles: Method of Controlled Waterfall, Tool, and Application. Dependable Systems, Services and Technologies (DESSERT’2023) : Proc. 13th IEEE Int. Conf., Athens, Greece, Oct. 13–15, 2023. P. 1–5.

4. Лейченко К. М., Фесенко Г. В. Програмний засіб підтримки планування розгортання LіFі мережі на основі БПЛА для забезпечення передачі даних в умовах руйнувань. Системи управління, навігації та зв’язку. 2024. Вип. 1 (75). С. 193–200.

5. Leichenko K., Fesenko H., Kharchenko V., Illiashenko O. Deployment of a UAV swarm-based LiFi network in the obstacle-ridden environment: algorithms of finding the path for UAV placement. Radioelectronic and Computer Systems. 2023. No. 1(109). P. 176–195.

6. Лейченко К., Фесенко Г., Харченко В. Стратегії розгортання та методи забезпечення надійності рою БПЛА для утворення LiFi мережі. Вимірювальна та обчислювальна техніка в технологічних процесах. 2024. №1. С. 21–31.

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