Please use this identifier to cite or link to this item: doi:10.22028/D291-37876
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Title: Reducing FEC-Complexity in Cross-Layer Predictable Data Communication
Author(s): Pereira, Pablo Gil
Herfet, Thorsten
Language: English
Title: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
Pages: 1-2
Publisher/Platform: IEEE
Year of Publication: 2021
Place of publication: Piscataway, NJ
Place of the conference: Las Vegas, NV, USA
Free key words: Forwad error coding
transport protocols
crosslayer optimization
DDC notations: 004 Computer science, internet
621.3 Electrical engineering, electronics
Publikation type: Conference Paper
Abstract: The PRRT protocol enables applications with strict performance requirements such as Cyber-Physical Systems, as it provides predictably low, end-to-end delay via cross-layer pacing and timely error correction via Hybrid ARQ (HARQ). However, the implemented HARQ uses computationally complex Maximum Distance Separable (MDS) codes to generate redundancy. In this paper we propose code partitioning for the complexity reduction of MDS codes, thereby enabling their deployment on constrained embedded devices.
DOI of the first publication: 10.1109/CCNC49032.2021.9369496
Link to this record: urn:nbn:de:bsz:291--ds-378760
hdl:20.500.11880/34261
http://dx.doi.org/10.22028/D291-37876
ISBN: 978-1-72819-794-4
ISSN: 978-1-72819-795-1 (ISBN der Printausgabe)
Date of registration: 8-Nov-2022
Third-party funds sponsorship: The work is supported by the German Research Foundation (DFG) within SPP 1914 “Cyber-Physical Networking” under grant 315036956
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Thorsten Herfet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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