License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2018.17
URN: urn:nbn:de:0030-drops-89869
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8986/
Go to the corresponding LIPIcs Volume Portal

Edpalm, Viktor ; Martins, Alexandre ; Årzén, Karl-Erik ; Maggio, Martina

Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time

pdf-format:
LIPIcs-ECRTS-2018-17.pdf (17 MB)

Abstract

This paper describes a method to compute frame size estimates to be used in quasi Worst-Case Transmission Times (qWCTT) for cameras that transmit frames over IP-based communication networks. The precise determination of qWCTT allows us to model the network access scheduling problem as a multiframe problem and to re-use theoretical results for network scheduling. The paper presents a set of experiments, conducted in an industrial testbed, that validate the qWCTT estimation. We believe that a more precise estimation will lead to savings for network infrastructure and to better network utilization.

BibTeX - Entry

@InProceedings{edpalm_et_al:LIPIcs:2018:8986,
  author =	{Viktor Edpalm and Alexandre Martins and Karl-Erik Årz{\'e}n and Martina Maggio},
  title =	{{Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time}},
  booktitle =	{30th Euromicro Conference on Real-Time Systems (ECRTS 2018)},
  pages =	{17:1--17:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-075-0},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{106},
  editor =	{Sebastian Altmeyer},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8986},
  URN =		{urn:nbn:de:0030-drops-89869},
  doi =		{10.4230/LIPIcs.ECRTS.2018.17},
  annote =	{Keywords: worst-case transmission time, H.264, bandwidth estimation, video compression, network access scheduling, multiframe model, camera network}
}

Keywords: worst-case transmission time, H.264, bandwidth estimation, video compression, network access scheduling, multiframe model, camera network
Collection: 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)
Issue Date: 2018
Date of publication: 22.06.2018

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI