A scalable wireless communication architecture for average consensus

Shrut Kirti, Anna Scaglione, Robert J. Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper introduces a multiple-access coding technique that is tailored to solve average consensus problems efficiently in wireless networks. We propose a novel data driven architecture which grants channel access to nodes based on their local data values. We analyze the performance of the scheme in the presence of quantization errors and noise. We show that our scheme is unbiased with respect to quantized consensus algorithms, it achieves good MSE performance, and it can be configured to provide a speedup in the convergence rate. The amount of speedup achieved is a function of \Q k\ which indicates the number of quantization bins used to represent the state variables exchanged during the computation.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Pages32-37
Number of pages6
DOIs
StatePublished - 2007
Externally publishedYes
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: Dec 12 2007Dec 14 2007

Other

Other46th IEEE Conference on Decision and Control 2007, CDC
CountryUnited States
CityNew Orleans, LA
Period12/12/0712/14/07

Fingerprint

Bins
Wireless networks
Communication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

Cite this

Kirti, S., Scaglione, A., & Thomas, R. J. (2007). A scalable wireless communication architecture for average consensus. In Proceedings of the IEEE Conference on Decision and Control (pp. 32-37). [4434859] https://doi.org/10.1109/CDC.2007.4434859

A scalable wireless communication architecture for average consensus. / Kirti, Shrut; Scaglione, Anna; Thomas, Robert J.

Proceedings of the IEEE Conference on Decision and Control. 2007. p. 32-37 4434859.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kirti, S, Scaglione, A & Thomas, RJ 2007, A scalable wireless communication architecture for average consensus. in Proceedings of the IEEE Conference on Decision and Control., 4434859, pp. 32-37, 46th IEEE Conference on Decision and Control 2007, CDC, New Orleans, LA, United States, 12/12/07. https://doi.org/10.1109/CDC.2007.4434859
Kirti S, Scaglione A, Thomas RJ. A scalable wireless communication architecture for average consensus. In Proceedings of the IEEE Conference on Decision and Control. 2007. p. 32-37. 4434859 https://doi.org/10.1109/CDC.2007.4434859
Kirti, Shrut ; Scaglione, Anna ; Thomas, Robert J. / A scalable wireless communication architecture for average consensus. Proceedings of the IEEE Conference on Decision and Control. 2007. pp. 32-37
@inproceedings{33c2633607d9485da2e4b519d0bc72b1,
title = "A scalable wireless communication architecture for average consensus",
abstract = "This paper introduces a multiple-access coding technique that is tailored to solve average consensus problems efficiently in wireless networks. We propose a novel data driven architecture which grants channel access to nodes based on their local data values. We analyze the performance of the scheme in the presence of quantization errors and noise. We show that our scheme is unbiased with respect to quantized consensus algorithms, it achieves good MSE performance, and it can be configured to provide a speedup in the convergence rate. The amount of speedup achieved is a function of \Q k\ which indicates the number of quantization bins used to represent the state variables exchanged during the computation.",
author = "Shrut Kirti and Anna Scaglione and Thomas, {Robert J.}",
year = "2007",
doi = "10.1109/CDC.2007.4434859",
language = "English (US)",
isbn = "1424414989",
pages = "32--37",
booktitle = "Proceedings of the IEEE Conference on Decision and Control",

}

TY - GEN

T1 - A scalable wireless communication architecture for average consensus

AU - Kirti, Shrut

AU - Scaglione, Anna

AU - Thomas, Robert J.

PY - 2007

Y1 - 2007

N2 - This paper introduces a multiple-access coding technique that is tailored to solve average consensus problems efficiently in wireless networks. We propose a novel data driven architecture which grants channel access to nodes based on their local data values. We analyze the performance of the scheme in the presence of quantization errors and noise. We show that our scheme is unbiased with respect to quantized consensus algorithms, it achieves good MSE performance, and it can be configured to provide a speedup in the convergence rate. The amount of speedup achieved is a function of \Q k\ which indicates the number of quantization bins used to represent the state variables exchanged during the computation.

AB - This paper introduces a multiple-access coding technique that is tailored to solve average consensus problems efficiently in wireless networks. We propose a novel data driven architecture which grants channel access to nodes based on their local data values. We analyze the performance of the scheme in the presence of quantization errors and noise. We show that our scheme is unbiased with respect to quantized consensus algorithms, it achieves good MSE performance, and it can be configured to provide a speedup in the convergence rate. The amount of speedup achieved is a function of \Q k\ which indicates the number of quantization bins used to represent the state variables exchanged during the computation.

UR - http://www.scopus.com/inward/record.url?scp=62749090645&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=62749090645&partnerID=8YFLogxK

U2 - 10.1109/CDC.2007.4434859

DO - 10.1109/CDC.2007.4434859

M3 - Conference contribution

AN - SCOPUS:62749090645

SN - 1424414989

SN - 9781424414987

SP - 32

EP - 37

BT - Proceedings of the IEEE Conference on Decision and Control

ER -