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Camera networks dimensioning and scheduling with quasi worst-case transmission time

Edpalm, Viktor ; Martins, Alexandre LU orcid ; Årzén, Karl-Erik LU orcid and Maggio, Martina LU (2018) 30th Euromicro Conference on Real-Time Systems, ECRTS 2018 106.
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.

Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Bandwidth estimation, Camera network, H.264, Multiframe model, Network access scheduling, Video compression, Worst-case transmission time
host publication
30th Euromicro Conference on Real-Time Systems, ECRTS 2018
volume
106
article number
17
publisher
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
conference name
30th Euromicro Conference on Real-Time Systems, ECRTS 2018
conference location
Barcelona, Spain
conference dates
2018-06-03 - 2018-06-06
external identifiers
  • scopus:85049338068
ISBN
9783959770750
DOI
10.4230/LIPIcs.ECRTS.2018.17
project
Autonomous camera systems in resource constrained environments
language
English
LU publication?
yes
id
9bc4d96e-c63a-46a0-bc42-cdd0485a5423
date added to LUP
2018-07-16 11:30:01
date last changed
2022-04-25 08:18:38
@inproceedings{9bc4d96e-c63a-46a0-bc42-cdd0485a5423,
  abstract     = {{<p>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.</p>}},
  author       = {{Edpalm, Viktor and Martins, Alexandre and Årzén, Karl-Erik and Maggio, Martina}},
  booktitle    = {{30th Euromicro Conference on Real-Time Systems, ECRTS 2018}},
  isbn         = {{9783959770750}},
  keywords     = {{Bandwidth estimation; Camera network; H.264; Multiframe model; Network access scheduling; Video compression; Worst-case transmission time}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}},
  title        = {{Camera networks dimensioning and scheduling with quasi worst-case transmission time}},
  url          = {{http://dx.doi.org/10.4230/LIPIcs.ECRTS.2018.17}},
  doi          = {{10.4230/LIPIcs.ECRTS.2018.17}},
  volume       = {{106}},
  year         = {{2018}},
}