ANALYSIS OF EXISTING APPROACHES TO CALCULATING QUANTITATIVE ASSESSMENT OF DRONES SURVIVABILITY
DOI:
https://doi.org/10.26906/SUNZ.2024.1.118Keywords:
ꞌ'Swarm-botꞌ' - system, ꞌ's-botsꞌ', survivability, safety, reliability, invulnerability, resilience, reengineering, communication, nano-droneAbstract
Today, survivability reflects the resistance of both individual drone subsystems and the drone as a whole to destructive influences. Such survivability is built into the algorithmic part of the drone subsystems and allows, in the event of emergency situations, to change the sequence of operation of the drone subsystems. When solving the problem of analyzing and synthesizing elements of drone subsystems, they operate with a quantitative assessment of survivability. This is necessary to determine with what probability failures of individual elements of any drone subsystem will lead to damage to the entire drone. Currently, there is no consensus among drone developers to quantify the survivability of drones. A lot depends on the architecture of the drone subsystems. Their interactions with each other and the interactions of their elements with each other. This article is devoted to the study of approaches to calculating a quantitative assessment of the survivability of drones at the design stage.Downloads
References
Koshovyi M. D., Pylypenko O. T., Ilyina I. V., Tokarev V. V. Growing tree method for optimisation of multifactorial experiments, Radio Electronics, Computer Science, Control, 2023, № 3, pp. 55–61. Doi: 10.15588/1607-3274-2023-3-6.
Кривуля Г.Ф., Токарєв В.В., Ільїна І.В., Кравець В.Є. Взаємодія між «s-bots» однієї «Swarm-bot» system у фізичному неорганізованому середовищі, Системи управління, навігації та зв'язку, 2023, №1(71), с.108-111. Doi: 10.26906/SUNZ.
Krivoulya G., Koshevoy N., Tokariev V., Ilina I., Dubinsky D. Solving the Task of Topological Formation Intelligent Mobile «S-bots» for One «Swarm-bot» System, Proceedings of the 7th International Conference on Computational Linguistics and Intelligent Systems: (COLINS 2023). CEUR Workshop Proceedings, 2023. Kharkiv. Ukraine, рр. 273-282.
Krivoulya G., Tokariev V., Ilina I., Lebediev O., Shcherbak V. Algorithm of Iterations of Distribution of Subtasks Between «S-Bot» in One «Swarm-Bot» System, Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems: (COLINS 2022). CEUR Workshop Proceedings, 2022. Gliwice. Poland, pp. 1531-1541.
Krivoulya G., Ilina I., Tokariev V., Shcherbak V. Mathematical Model for Finding Probability of Detecting Victims of ManMade Disasters Using Distributed Computer System with Reconfigurable Structure and Programmable Logic, PIC S&T, 2020. Kharkiv. Ukraine, pp.573 - 576.
Churyumov G., Tkachov V., Tokariev V., Diachenko V. Method for Ensuring Survivability of Flying Ad-Hoc Network Based on Structural and Functional Reconfiguration, ITS 2018, CEUR Workshop Proc., 2018. Kyiv, Ukraine, pp. 64-76.
Churyumov G., Tokarev V., Tkachov V., Partyka S. Scenario of Interaction of the Mobile Technical Objects in the Process of Transmission of Data Streams in Conditions of Impacting the Powerful Electromagnetic Field, DSMP, 2018. Lviv, pp.183-186.
Ткачов В.М., Токарев В.В., Радченко В.О., Лебедєв В.О. Проблема передачі даних типу BIG DATA у мобільній системі «Мультикоптер-сенсорна мережа», Системи управління, навігації та зв’язку, 2017, №2(42), с.154-157.
T. Gao, X. Bai. Bayesian. Optimization-based Three-dimensional, Time-varying Environment Monitoring using an UAV, IEEE Journal of Intelligent & Robotic Systems, 2022, vol.105, no.4, pp.219 - 235. Doi:10.1007/s10846-022-01709-x.
L. Zhao, Y. Song, C. Zhang. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction, IEEE Transactions on Intelligent Transportation Systems, 2020, vol.21, no.9, pp.3848 - 3858. Doi:10.1109/TITS.2019.2935152.
E. Seraj, A. Silva, M. Gombolay. Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees, Autonomous Agents and Multi-Agent Systems, article number.39, 2022, Springer. Doi:10.1007/s10458-022-09566-6.