Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras

Gautham Nayak Seetanadi; Martina Maggio; Karl-Erik Årzén; Luis Almeida; Luis Oliveira

Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras

Gautham Nayak Seetanadi, Martina Maggio, Karl-Erik Årzén, Luis Almeida, Luis Oliveira

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

252 Downloads (Pure)

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.

Original language	English
Title of host publication	The 15th International Workshop on Real-Time Networks
Publication status	Published - 2017
Event	The 15th International Workshop on Real-Time Networks - Dubrovnik, Croatia Duration: 2017 Jun 27 → … https://ecrts.eit.uni-kl.de/rtn2017

Workshop

Workshop	The 15th International Workshop on Real-Time Networks
Abbreviated title	RTN'2017
Country/Territory	Croatia
City	Dubrovnik
Period	2017/06/27 → …
Internet address	https://ecrts.eit.uni-kl.de/rtn2017

Subject classification (UKÄ)

Control Engineering

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Game-Theoretic Network Bandwidth Distribution for Self-Adaptive CamerasFinal published version, 664 KB

2 Paper in conference proceeding

Model Checking a Self-Adaptive Camera Network with Physical Disturbances
Nayak Seetanadi, G., Årzén, K-E. & Maggio, M., 2019, IEEE International Conference on Autonomic Computing. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 95-104 8831206
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Open Access
File
310 Downloads (Pure)
Event-Driven Bandwidth Allocation with Formal Guarantees for Camera Networks
Nayak Seetanadi, G., Maggio, M., Årzén, K-E., 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.
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Open Access
File
284 Downloads (Pure)

1 Finished

Feedback Computing in Cyber-Physical Systems
Årzén, K., Eker, J., Maggio, M., Millnert, V., Nayak Seetanadi, G. & Janneck, J.
2015/01/01 → 2018/12/31
Project: Research

Cite this

@inproceedings{bdd41c2718764272aaae1f5358a251d1,

title = "Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras",

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 Martina Maggio and Karl-Erik {\AA}rz{\'e}n and Luis Almeida and Luis Oliveira",

year = "2017",

language = "English",

booktitle = "The 15th International Workshop on Real-Time Networks",

note = "The 15th International Workshop on Real-Time Networks, RTN'2017 ; Conference date: 27-06-2017",

url = "https://ecrts.eit.uni-kl.de/rtn2017",

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TY - GEN

T1 - Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras

AU - Nayak Seetanadi, Gautham

AU - Maggio, Martina

AU - Årzén, Karl-Erik

AU - Almeida, Luis

AU - Oliveira, Luis

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

M3 - Paper in conference proceeding

BT - The 15th International Workshop on Real-Time Networks

T2 - The 15th International Workshop on Real-Time Networks

Y2 - 27 June 2017

ER -

Game-Theoretic Network Bandwidth Distribution for Self-Adaptive Cameras

Abstract

Workshop

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

Model Checking a Self-Adaptive Camera Network with Physical Disturbances

Event-Driven Bandwidth Allocation with Formal Guarantees for Camera Networks

Projects

Feedback Computing in Cyber-Physical Systems

Cite this