Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-Hoc Networks
<|reference_start|>Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-Hoc Networks: 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.<|reference_end|>
@article{cakir2024real-time,
    title={Real-Time Digital Twin Platform: A Case Study on Core Network Selection
  in Aeronautical Ad-Hoc Networks},
    author={Lal Verda Cakir, Mihriban Kocak, Mehmet "Ozdem, Berk Canberk},
    journal={arXiv preprint arXiv:2408.10409},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.10409},
    primaryClass={cs.NI cs.ET}
}