Game-theoretic network bandwidth distribution for self-adaptive cameras

Nayak Seetanadi, Gautham (author): Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH

Maggio, Martina (author): Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH

Årzén, Karl-Erik (author): Lund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH

(creator_code:org_t)

2018-08-15
2018
English 7 s.
In: ACM SIGBED Review. - : Association for Computing Machinery (ACM). - 1551-3688. ; 15:3, s. 31-36

Related links:: http://dx.doi.org/10...; show more...; https://lup.lub.lu.s...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Abstract Subject headings

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.

By the author/editor: Nayak Seetanadi, ...; Maggio, Martina; Årzén, Karl-Erik; Almeida, Luis; Oliveira, Luis

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Control Engineer ...

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