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

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

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Author Details

Viktor Edpalm
  • Axis Communications, Lund, Sweden
Alexandre Martins
  • Axis Communications and Department of Automatic Control, Lund University, Lund, Sweden
Karl-Erik Årzén
  • Department of Automatic Control, Lund University, Sweden
Martina Maggio
  • Department of Automatic Control, Lund University, Sweden

Funding

This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. Alexandre Martins, Karl-Erik Årzén, and Martina Maggio are members of the LCCC Linnaeus Center and the ELLIIT Excellence Center at Lund University.

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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) https://doi.org/10.4230/LIPIcs.ECRTS.2018.17

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.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Embedded systems
  • Computer systems organization → Real-time systems
  • Networks → Network components
Keywords
  • worst-case transmission time
  • H.264
  • bandwidth estimation
  • video compression
  • network access scheduling
  • multiframe model
  • camera network

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