Implementing Multi-Core Algorithms on Single Chip Computers for Low-Cost Fixed-Wing UAV Swarming

This work puts forth approaches used in the design and implementation of fixed-wing swarm drones. It discusses factors to consider in the design of homogeneous swarm drones and reviews some proposed algorithms for drone swarms, and how well they can be adapted to fixed-wing swarms. A deliberation is made on centralized, decentralized and hybrid swarm control approaches, and how single-chip, multi-core computers like the Raspberry Pi model 5, along with modern sensors and RTK-based GPS can be configured to control fixed-wing drone swarms.

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Publication Details

Published
2025-07-16
DOI
https://doi.org/10.2514/6.2025-3464
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementing Multi-Core Algorithms on Single Chip Computers for Low-Cost Fixed-Wing UAV Swarming

Mostafa Hassanalian, Joel Opoku Mintah, Samuel Maimako
Distributed Control Multi-Agent Systems
article

Implementing Multi-Core Algorithms on Single Chip Computers for Low-Cost Fixed-Wing UAV Swarming

Mostafa Hassanalian, Joel Opoku Mintah, Samuel Maimako
article en

Abstract

This work puts forth approaches used in the design and implementation of fixed-wing swarm drones. It discusses factors to consider in the design of homogeneous swarm drones and reviews some proposed algorithms for drone swarms, and how well they can be adapted to fixed-wing swarms. A deliberation is made on centralized, decentralized and hybrid swarm control approaches, and how single-chip, multi-core computers like the Raspberry Pi model 5, along with modern sensors and RTK-based GPS can be configured to control fixed-wing drone swarms.

New Mexico Institute of Mining and Technology (US)
Affordable and clean energy
Openalex Percentile: Top 81%
Distributed Control Multi-Agent Systems
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