Camera networks dimensioning and scheduling with quasi worst-case transmission time
(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:
https://lup.lub.lu.se/record/9bc4d96e-c63a-46a0-bc42-cdd0485a5423
- author
- Edpalm, Viktor ; Martins, Alexandre LU ; Årzén, Karl-Erik LU and Maggio, Martina LU
- organization
- publishing date
- 2018-06-01
- 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}}, }