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Edpalm, Viktor [Author]; Martins, Alexandre [Author]; Årzén, Karl-Erik [Author]; Maggio, Martina [Author] ; Viktor Edpalm and Alexandre Martins and Karl-Erik Årzén and Martina Maggio [Contributor]

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

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  • Media type: Text; Electronic Conference Proceeding; E-Article
  • Title: Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time
  • Contributor: Edpalm, Viktor [Author]; Martins, Alexandre [Author]; Årzén, Karl-Erik [Author]; Maggio, Martina [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2018
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ECRTS.2018.17
  • Keywords: H.264 ; bandwidth estimation ; multiframe model ; worst-case transmission time ; network access scheduling ; video compression ; camera network
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: 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.
  • Access State: Open Access