Game-theoretic network bandwidth distribution for self-adaptive cameras
(2018) In ACM SIGBED Review 15(3). p.31-36- 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/e89a0630-3779-4bba-9aea-bfb82caef51f
- author
- Nayak Seetanadi, Gautham LU ; Maggio, Martina LU ; Årzén, Karl-Erik LU ; Almeida, Luis and Oliveira, Luis
- organization
- publishing date
- 2018-06
- type
- Contribution to journal
- publication status
- published
- subject
- in
- ACM SIGBED Review
- volume
- 15
- issue
- 3
- pages
- 7 pages
- publisher
- Association for Computing Machinery (ACM)
- external identifiers
-
- scopus:85066914517
- ISSN
- 1551-3688
- DOI
- 10.1145/3267419.3267424
- project
- Feedback Computing in Cyber-Physical Systems
- language
- English
- LU publication?
- yes
- id
- e89a0630-3779-4bba-9aea-bfb82caef51f
- date added to LUP
- 2019-06-19 14:41:48
- date last changed
- 2022-03-25 20:42:39
@article{e89a0630-3779-4bba-9aea-bfb82caef51f, 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.}}, author = {{Nayak Seetanadi, Gautham and Maggio, Martina and Årzén, Karl-Erik and Almeida, Luis and Oliveira, Luis}}, issn = {{1551-3688}}, language = {{eng}}, number = {{3}}, pages = {{31--36}}, publisher = {{Association for Computing Machinery (ACM)}}, series = {{ACM SIGBED Review}}, title = {{Game-theoretic network bandwidth distribution for self-adaptive cameras}}, url = {{http://dx.doi.org/10.1145/3267419.3267424}}, doi = {{10.1145/3267419.3267424}}, volume = {{15}}, year = {{2018}}, }