Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras

Research output: Contribution to conferencePaper, not in proceeding

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.

Details

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

Subject classification (UKÄ) – MANDATORY

  • Control Engineering
Original languageEnglish
Publication statusPublished - 2017
Publication categoryResearch
Peer-reviewedYes
EventThe 15th International Workshop on Real-Time Networks - Dubrovnik, Croatia
Duration: 2017 Jun 27 → …
https://ecrts.eit.uni-kl.de/rtn2017

Workshop

WorkshopThe 15th International Workshop on Real-Time Networks
Abbreviated titleRTN'2017
CountryCroatia
CityDubrovnik
Period2017/06/27 → …
Internet address

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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.

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Gautham Nayak Seetanadi, Martina Maggio, Karl-Erik Årzén, Almeida, L. & Camara, J., 2018 Jan 31, IEEE Real-Time Systems Symposium (RTSS) . IEEE--Institute of Electrical and Electronics Engineers Inc., p. 243-254 12 p.

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