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Journals / Türkiye İnsansız Hava Araçları Dergisi / 2026 / Sayı: 8

Experimental Performance Analysis of Sorting Algorithms on UAV Telemetry Data

İHA Telemetri Verileri Üzerinde Sıralama Algoritmalarının Deneysel Performans Analizi

Tarık Talan(GAZIANTEP ISLAM SCIENCE AND TECHNOLOGY UNIVERSITY)0000-0002-5371-4520
Habibe Aslan(GAZIANTEP ISLAM SCIENCE AND TECHNOLOGY UNIVERSITY)0009-0009-3396-9962
Cemal Aktürk(GAZIANTEP ISLAM SCIENCE AND TECHNOLOGY UNIVERSITY)0000-0003-3764-3862
Pages
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Publication Date
2026-08-04
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicate that the NumPy-based sorting implementation demonstrates the best performance due to efficient underlying operations.

📌 3 Key Takeaways

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Objective & Hypothesis:Unmanned Aerial Vehicles (UAVs) generate high-volume telemetry data during flight operations, including positional, speed, altitude, and various sensor measurements.
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Key Findings & Data:Efficient processing of this data is critical for real-time decision-making and system performance.
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Conclusion & Impact:The results indicate that the NumPy-based sorting implementation demonstrates the best performance due to efficient underlying operations.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Sıralama algoritmaları · İHA telemetri verileri · GPU hesaplama

Abstract

Unmanned Aerial Vehicles (UAVs) generate high-volume telemetry data during flight operations, including positional, speed, altitude, and various sensor measurements. Efficient processing of this data is critical for real-time decision-making and system performance. This study experimentally evaluates the performance of classical sorting algorithms on real-world UAV telemetry data. The experiments were conducted using the SurveilDrone-Net23 dataset and evaluated across three different computational platforms: Pure Python, NumPy-based CPU, and GPU-supported PyTorch. Execution time was used as the primary performance metric. The results indicate that the NumPy-based sorting implementation demonstrates the best performance due to efficient underlying operations. However, this performance advantage is not consistent across all platforms. In GPU-based implementations, data transfer overhead has a substantial impact on total execution time and may reduce the benefits of parallel computation. Overall, the findings highlight that sorting performance is influenced not only by algorithmic complexity but also by system environment and data processing conditions. The results provide practical insights for platform selection and real-time UAV data processing system design.

Özet

İnsansız Hava Araçları (İHA), uçuş operasyonları sırasında konum, hız, irtifa ve çeşitli sensör ölçümleri gibi yüksek hacimli telemetri verileri üretmektedir. Bu verilerin etkin bir şekilde işlenmesi, gerçek zamanlı karar verme süreçleri ve sistem performansı açısından kritik öneme sahiptir. Bu çalışmada, klasik sıralama algoritmalarının gerçek dünya İHA telemetri verileri üzerindeki performansı deneysel olarak değerlendirilmiştir. Deneyler, SurveilDrone-Net23 veri kümesi kullanılarak gerçekleştirilmiş ve üç farklı hesaplama platformunda incelenmiştir: Saf Python, NumPy tabanlı CPU ve GPU destekli PyTorch. Performans değerlendirmesinde temel ölçüt olarak çalışma süresi kullanılmıştır. Elde edilen sonuçlar, NumPy tabanlı sıralama uygulamasının verimli altyapı işlemleri sayesinde en iyi performansı sergilediğini göstermektedir. Ancak bu performans üstünlüğü tüm platformlarda aynı şekilde gözlenmemektedir. GPU tabanlı uygulamalarda, veri aktarımından kaynaklanan ek yük toplam çalışma süresi üzerinde önemli bir etkiye sahip olmakta ve paralel hesaplamanın sağladığı avantajları azaltabilmektedir. Genel olarak bulgular, sıralama performansının yalnızca algoritmik karmaşıklığa değil, aynı zamanda sistem ortamına ve veri işleme koşullarına da bağlı olduğunu ortaya koymaktadır. Sonuçlar, platform seçimi ve gerçek zamanlı İHA veri işleme sistemlerinin tasarımı açısından uygulamaya yönelik önemli çıkarımlar sunmaktadır.

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Cite This Article

Talan, T., Aslan, H., Aktürk, C. (2026). Experimental Performance Analysis of Sorting Algorithms on UAV Telemetry Data. Türkiye İnsansız Hava Araçları Dergisi, Sayı: 8. https://doi.org/10.51534/tiha.1918222

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