Game-theoretic network bandwidth distribution for self-adaptive cameras

Research output: Contribution to journalArticle


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.


External organisations
  • University of Porto
  • University of Pittsburgh
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering
Original languageEnglish
Pages (from-to)31-36
Number of pages7
JournalACM SIGBED Review
Issue number3
Publication statusPublished - 2018 Jun
Publication categoryResearch

Related research output

Gautham Nayak Seetanadi, Martina Maggio & Karl-Erik Årzén, 2019 Apr 8, (Accepted/In press) IEEE International Conference on Autonomic Computing. IEEE--Institute of Electrical and Electronics Engineers Inc.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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