• Medientyp: E-Artikel; Sonstige Veröffentlichung
  • Titel: Hard Real-Time Streaming of Large Data Objects with Overlapping Backward Error Correction
  • Beteiligte: Bendrick, Alex [Verfasser:in]; Ernst, Rolf [Verfasser:in]
  • Erschienen: TU Braunschweig: LeoPARD - Publications And Research Data, 2023
  • Sprache: Englisch
  • DOI: https://doi.org/10.24355/dbbs.084-202310261026-0; https://doi.org/10.1109/IECON51785.2023.10312061
  • Schlagwörter: Article ; Veröffentlichung der TU Braunschweig ; wireless -- large data objects -- middleware -- burst errors -- relaxed deadlines -- overlapping transmissions
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  • Beschreibung: Despite expectations in roadmaps, the reliable V2X exchange of large data objects under age constraints remains an open challenge. Earlier work proposed a protocol that improved reliability by an application-level Backward Error Correction (BEC) mechanism that operates on data objects rather than packets. In this paper, we extend the protocol to overlapping data object transmission and investigate how far we can increase reliability by relaxing the object transmission deadline to realistic latency requirements as found in the literature. The extended protocol can be used for reliable coupling of nodes and wired network segments in the automotive and industrial domain that exchange large data. As an example, a camera stream transmission from truck platooning is used that aims at improving effectiveness of logistics as part of a large-scale industrial process. We present an analytical model for the extended error correction protocol and evaluate the reliability improvement with an OMNeT++ simulation model that incorporates a state-of-the-art burst error model. For realistic application deadlines, the results show a significant reliability improvement especially for burst errors, at constant protocol overhead.
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