Game-theoretic network bandwidth distribution for self-adaptive cameras

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • University of Porto
  • University of Pittsburgh
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
Originalspråkengelska
Sidor (från-till)31-36
Antal sidor7
TidskriftACM SIGBED Review
Volym15
Utgivningsnummer3
StatusPublished - 2018 jun
PublikationskategoriForskning
Peer review utfördJa

Relaterad forskningsoutput

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.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

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