Gerçek Zamanlı Dijital İkiz Platformu: Ad-hoc Hava Ağlarında Çekirdek Ağ Seçimi Üzerine Vaka Çalışması

Yıl 2024, Cilt: 1 Sayı: 1, 41 - 46, 30.09.2024

Lal Verda Cakir , Mihriban Nur Kocak , Mehmet Özdem , Berk Canberk

Öz

Dijital İkizlerin (Dİ) geliştirilmesi için dinamik uygulamaların taleplerini karşılayabilme kabiliyetindeki ve açık kaynaklı çözümlerin eksiklikliklerden dolayı sekteye uğramaktadır. Bu, son teknoloji Dİ uygulamalarının çevrimdışı veriler kullanılarak doğrulanmasına neden olmuştur. Ancak bu yaklaşım, Dİ'lerin en önemli özelliklerinden biri olan gerçek zamanlı verilerin entegrasyonu konusunda yetersizdir. Bu, ad-hoc hava ağları (AHHA) gibi vakalarda Dİ uygulamalarının doğrulanmasını sınırlayabilmektedir. Bunu göz önünde bulundurarak, bu çalışmada Gerçek Zamanlı Dijital İkiz Platformu geliştirilmiş ve örnek olay olarak AHHA'larda çekirdek ağ seçimini uygulanmıştır. Bunda mikroservis tabanlı mimariye sahip dayanıklı veri işleme hattı tasarlanmıştır. Ayrıca açık kaynaklı araçlar kullanarak etkileşimli bir kullanıcı arayüzü geliştirilmiştir. Bunlar sayesinde geliştirilen platform, veri alma hataları durumunda dahi gerçek zamanlı karar almayı destekler hale getirilebilmiştir.

Anahtar Kelimeler

Dijital ikiz, gerçek zamanlı platform, hava ağları, veri işleme hattı

Proje Numarası

5239903

Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks

Öz

The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-art DT applications to be validated using offline data. However, this approach falls short of integrating real-time data, which is one of the most important characteristics of DTs. This can limit the validating effectiveness of DT applications in cases such as aeronautical ad-hoc networks (AANETs). Considering this, we develop a Real-Time Digital Twin Platform and implement core network selection in AANETs as a case study. In this, we implement microservice-based architecture and design a robust data pipeline. Additionally, we develop an interactive user interface using open-source tools. Using this, the platform supports real-time decision-making in the presence of data retrieval failures.

Anahtar Kelimeler

Digital twin, real-time platform, aeronautical networks, data pipeline

Destekleyen Kurum

TUBITAK

Proje Numarası

5239903

Teşekkür

This work is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) 1515 Frontier R&D Laboratories Support Program for BTS Advanced AI Hub: BTS Autonomous Networks and Data Innovation Lab. Project 5239903.

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