Cross-layer pacing for predictably low age of information presentation of work originally published in the proceedings of the 2019workshop on ultra-low latency in wireless networks

Andreas S, Reif S, Pereira PG, Hönig T, Herfet T, Schröder-Preikschat W (2019)


Publication Type: Conference contribution

Publication year: 2019

Publisher: Gesellschaft fur Informatik (GI)

Book Volume: 294

Pages Range: 183-184

Conference Proceedings Title: Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

Event location: Kassel, DEU

ISBN: 9783885796886

DOI: 10.18420/inf2019_22

Abstract

For dynamic systems, it is mandatory that all components operate on predictably SfreshT data. This requirement constitutes a challenge, in particular, when Internet-based or wireless communication is involved. We propose X-Pace, an approach based on cross-layer pacing, to achieve predictably low communication latency in the presence of varying network channel properties and node performance.

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How to cite

APA:

Andreas, S., Reif, S., Pereira, P.G., Hönig, T., Herfet, T., & Schröder-Preikschat, W. (2019). Cross-layer pacing for predictably low age of information presentation of work originally published in the proceedings of the 2019workshop on ultra-low latency in wireless networks. In Klaus David, Kurt Geihs, Martin Lange, Gerd Stumme (Eds.), Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) (pp. 183-184). Kassel, DEU: Gesellschaft fur Informatik (GI).

MLA:

Andreas, Schmidt, et al. "Cross-layer pacing for predictably low age of information presentation of work originally published in the proceedings of the 2019workshop on ultra-low latency in wireless networks." Proceedings of the 49. Jahrestagung der Gesellschaft fur Informatik: 50 Jahre Gesellschaft fur Informatik - Informatik fur Gesellschaft, INFORMATIK 2019 - 49th Annual Meeting of the German Informatics Society: 50 years of the German Informatics Society - Computer Science for Society, INFORMATICS 2019, Kassel, DEU Ed. Klaus David, Kurt Geihs, Martin Lange, Gerd Stumme, Gesellschaft fur Informatik (GI), 2019. 183-184.

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