Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras
(2017) The 15th International Workshop on Real-Time Networks- Abstract
- Devices sharing a network compete for bandwidth, being able to transmit only a limited amount of data. This is for example the case with a network of cameras, that should record and transmit video streams to a monitor node for video surveillance. Adaptive cameras can reduce the quality of their video, thereby increasing the frame compression, to limit network congestion. In this paper, we exploit our experience with computing capacity allocation to design and implement a network bandwidth allocation strategy based on game theory, that accommodates multiple adaptive streams with convergence guarantees. We conduct some experiments with our implementation and discuss the results, together with some conclusions and future challenges.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/bdd41c27-1876-4272-aaae-1f5358a251d1
- author
- Nayak Seetanadi, Gautham LU ; Maggio, Martina LU ; Årzén, Karl-Erik LU ; Almeida, Luis and Oliveira, Luis
- organization
- publishing date
- 2017
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- The 15th International Workshop on Real-Time Networks
- conference name
- The 15th International Workshop on Real-Time Networks
- conference location
- Dubrovnik, Croatia
- conference dates
- 2017-06-27
- project
- Feedback Computing in Cyber-Physical Systems
- language
- English
- LU publication?
- yes
- id
- bdd41c27-1876-4272-aaae-1f5358a251d1
- date added to LUP
- 2017-07-07 11:45:26
- date last changed
- 2020-12-12 02:19:04
@inproceedings{bdd41c27-1876-4272-aaae-1f5358a251d1, abstract = {{Devices sharing a network compete for bandwidth, being able to transmit only a limited amount of data. This is for example the case with a network of cameras, that should record and transmit video streams to a monitor node for video surveillance. Adaptive cameras can reduce the quality of their video, thereby increasing the frame compression, to limit network congestion. In this paper, we exploit our experience with computing capacity allocation to design and implement a network bandwidth allocation strategy based on game theory, that accommodates multiple adaptive streams with convergence guarantees. We conduct some experiments with our implementation and discuss the results, together with some conclusions and future challenges.<br/>}}, author = {{Nayak Seetanadi, Gautham and Maggio, Martina and Årzén, Karl-Erik and Almeida, Luis and Oliveira, Luis}}, booktitle = {{The 15th International Workshop on Real-Time Networks}}, language = {{eng}}, title = {{Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras}}, url = {{https://lup.lub.lu.se/search/files/75899587/RTN17_Gautham_2_.pdf}}, year = {{2017}}, }