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. |
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| 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] |
| Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192776209 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ПРОГРАМНА МОДЕЛЬ УПРАВЛІННЯ РОЄМ ДРОНІВ З ВИКОРИСТАННЯМ ПАМ'ЯТІ КОЛЕКТИВНОГО ДОСТУПУ НА БАЗІ ОПЕРАЦІЙНОЇ СИСТЕМИ RASPBIAN. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: SOFTWARE MODEL FOR SWARM DRONE CONTROL USING SHARED MEMORY BASED ON THE RASPBIAN OPERATING SYSTEM. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Сегін%2C+А%2E+І%2E%22">Сегін, А. І.</searchLink><relatesTo>1</relatesTo><i> andriy.segin@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Гуменний%2C+П%2E+В%2E%22">Гуменний, П. В.</searchLink><relatesTo>1</relatesTo><i> humannist22@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Возна%2C+Н%2E+Я%2E%22">Возна, Н. Я.</searchLink><relatesTo>1</relatesTo><i> nvozna@ukr.net</i><br /><searchLink fieldCode="AR" term="%22Мінько%2C+В%2E+В%2E%22">Мінько, В. В.</searchLink><relatesTo>1</relatesTo><i> vetal0699@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Informatics+%26+Mathematical+Methods+in+Simulation+%2F+Informatika+ta+Matematičnì+Metodi+v+Modelûvannì%22">Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì</searchLink>. 2026, Vol. 16 Issue 1, p146-156. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Raspberry+Pi%22">Raspberry Pi</searchLink><br /><searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Linux+operating+systems%22">Linux operating systems</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Algebraic+codes%22">Algebraic codes</searchLink><br /><searchLink fieldCode="DE" term="%22Decentralized+control+systems%22">Decentralized control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Aggregation+%28Robotics%29%22">Aggregation (Robotics)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192776209 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15276/imms.v16.no1.14 Languages: – Code: ukr Text: Ukrainian PhysicalDescription: Pagination: PageCount: 11 StartPage: 146 Subjects: – SubjectFull: Raspberry Pi Type: general – SubjectFull: Drone aircraft Type: general – SubjectFull: Linux operating systems Type: general – SubjectFull: Distributed computing Type: general – SubjectFull: Algebraic codes Type: general – SubjectFull: Decentralized control systems Type: general – SubjectFull: Aggregation (Robotics) Type: general Titles: – TitleFull: ПРОГРАМНА МОДЕЛЬ УПРАВЛІННЯ РОЄМ ДРОНІВ З ВИКОРИСТАННЯМ ПАМ'ЯТІ КОЛЕКТИВНОГО ДОСТУПУ НА БАЗІ ОПЕРАЦІЙНОЇ СИСТЕМИ RASPBIAN. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Сегін, А. І. – PersonEntity: Name: NameFull: Гуменний, П. В. – PersonEntity: Name: NameFull: Возна, Н. Я. – PersonEntity: Name: NameFull: Мінько, В. В. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22235744 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì Type: main |
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