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文章基本信息

  • 标题:Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time
  • 作者:Viktor Edpalm ; Alexandre Martins ; Karl-Erik Årz{\'e}n
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:106
  • 页码:17:1-17:22
  • DOI:10.4230/LIPIcs.ECRTS.2018.17
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:worst-case transmission time; H.264; bandwidth estimation; video compression; network access scheduling; multiframe model; camera network
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