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DOI: 10.4230/LIPIcs.ECRTS.2018.17
Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time

Authors: Viktor Edpalm, Alexandre Martins, Karl-Erik Årzén, and Martina Maggio

Published in: LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)

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.
Cite as

Viktor Edpalm, Alexandre Martins, Karl-Erik Årzén, and Martina Maggio. Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time. In 30th Euromicro Conference on Real-Time Systems (ECRTS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 106, pp. 17:1-17:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{edpalm_et_al:LIPIcs.ECRTS.2018.17,
  author =	{Edpalm, Viktor and Martins, Alexandre and \r{A}rz\'{e}n, Karl-Erik and Maggio, Martina},
  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 =	{Altmeyer, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.17},
  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}
}
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