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Integration of a RTT Prediction into a Multi-path Communication Gateway

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Josef Schmid
Patrick Purucker
Mathias Schneider
Rick vander Zwet
Morten Larsen
Alfred Höß
Published in
Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops
Publisher
Springer International Publishing

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Abstract

The chapter delves into the critical role of reliable vehicle-to-server communication in automated driving, highlighting the importance of ad-hoc networks like VANETs and the potential of LTE and 5G networks. It introduces a multi-path communication gateway that utilizes multiple LTE connections to enhance communication reliability. The core innovation lies in the integration of an RTT prediction pipeline, which anticipates Round-trip Time values to prioritize communication paths. The pipeline includes data recording, preprocessing, feature selection, model training, evaluation, and porting. Various machine learning models, such as SVR, k-Nearest Neighbors Regression, and Decision Tree Regression, are evaluated and compared. The chapter concludes with a discussion on future work, including the potential application of this technology in the Unmanned Aerial Vehicles (UAVs) domain. This comprehensive approach offers a unique perspective on enhancing communication reliability in safety-critical applications.
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previous chapter Towards Assurance-Driven Architectural Decomposition of Software Systems
next chapter Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty
Title
Integration of a RTT Prediction into a Multi-path Communication Gateway
Authors
Josef Schmid
Patrick Purucker
Mathias Schneider
Rick vander Zwet
Morten Larsen
Alfred Höß
Copyright Year
2021
Book
Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops

Print ISBN: 978-3-030-83905-5

Electronic ISBN: 978-3-030-83906-2

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-83906-2_16
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