ПРОГРАМНА МОДЕЛЬ УПРАВЛІННЯ РОЄМ ДРОНІВ З ВИКОРИСТАННЯМ ПАМ'ЯТІ КОЛЕКТИВНОГО ДОСТУПУ НА БАЗІ ОПЕРАЦІЙНОЇ СИСТЕМИ RASPBIAN.

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Title:	ПРОГРАМНА МОДЕЛЬ УПРАВЛІННЯ РОЄМ ДРОНІВ З ВИКОРИСТАННЯМ ПАМ'ЯТІ КОЛЕКТИВНОГО ДОСТУПУ НА БАЗІ ОПЕРАЦІЙНОЇ СИСТЕМИ RASPBIAN.
Alternate Title:	SOFTWARE MODEL FOR SWARM DRONE CONTROL USING SHARED MEMORY BASED ON THE RASPBIAN OPERATING SYSTEM.
Authors:	Сегін, А. І.¹ andriy.segin@gmail.com, Гуменний, П. В.¹ humannist22@gmail.com, Возна, Н. Я.¹ nvozna@ukr.net, Мінько, В. В.¹ vetal0699@gmail.com
Source:	Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì. 2026, Vol. 16 Issue 1, p146-156. 11p.
Subjects:	Raspberry Pi, Drone aircraft, Linux operating systems, Distributed computing, Algebraic codes, Decentralized control systems, Aggregation (Robotics)
Abstract:	The article presents an innovative software model for swarm drone control based on the use of shared memory and vertical information technology, implemented on the Raspberry Pi single-board computing platform running the Raspbian operating system. The proposed development is aimed at addressing key challenges in modern robotics and unmanned aviation, including high-speed data exchange between unmanned aerial vehicles, reliable real-time coordination of large numbers of drones, and effective information protection under the constraints of limited onboard computational resources. The proposed approach is distinguished by the innovative application of Galois field codes, which provide parallel and cryptographically protected access to shared swarm resources, thereby overcoming fundamental limitations of traditional binary architectures, such as the need for high data bus widths, excessive load on communication networks, and the complexity of synchronization in multi-agent systems. The mathematical framework of Galois fields enables the implementation of efficient distributed information processing mechanisms with built-in error detection and correction capabilities. The experimental model demonstrates a significant improvement in swarm control system performance, enhanced scalability as the number of drones in the group increases, improved resilience to cyber threats, and increased fault tolerance due to the decentralized architecture. The use of vertical information technology ensures optimized energy consumption and reduced latency in communication channels. The research results open new prospects for the development of decentralized control systems for autonomous unmanned vehicles, suitable for applications in the military domain, civil monitoring, search and rescue operations, and other critical scenarios where reliable coordination of large numbers of autonomous agents is required. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

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Abstract:	The article presents an innovative software model for swarm drone control based on the use of shared memory and vertical information technology, implemented on the Raspberry Pi single-board computing platform running the Raspbian operating system. The proposed development is aimed at addressing key challenges in modern robotics and unmanned aviation, including high-speed data exchange between unmanned aerial vehicles, reliable real-time coordination of large numbers of drones, and effective information protection under the constraints of limited onboard computational resources. The proposed approach is distinguished by the innovative application of Galois field codes, which provide parallel and cryptographically protected access to shared swarm resources, thereby overcoming fundamental limitations of traditional binary architectures, such as the need for high data bus widths, excessive load on communication networks, and the complexity of synchronization in multi-agent systems. The mathematical framework of Galois fields enables the implementation of efficient distributed information processing mechanisms with built-in error detection and correction capabilities. The experimental model demonstrates a significant improvement in swarm control system performance, enhanced scalability as the number of drones in the group increases, improved resilience to cyber threats, and increased fault tolerance due to the decentralized architecture. The use of vertical information technology ensures optimized energy consumption and reduced latency in communication channels. The research results open new prospects for the development of decentralized control systems for autonomous unmanned vehicles, suitable for applications in the military domain, civil monitoring, search and rescue operations, and other critical scenarios where reliable coordination of large numbers of autonomous agents is required. [ABSTRACT FROM AUTHOR]
ISSN:	22235744
DOI:	10.15276/imms.v16.no1.14