Nonlinear diffusion adaptation with bounded transmission over distributed networks

Jongmin Lee; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias

doi:10.1109/ICC.2015.7249394

Nonlinear diffusion adaptation with bounded transmission over distributed networks

Jongmin Lee, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

This paper introduces diffusion adaptation strategies over distributed networks with nonlinear transmissions, motivated by the necessity for bounded transmit power. Local information is exchanged in real-time with neighboring nodes in order to estimate a common parameter vector via constrained nonlinear transmissions, using an adaptive learning algorithm. We propose nonlinear diffusion strategies for such an adaptive estimation. We will study convergence properties of the proposed algorithm in the mean and the mean-square sense. Simulations support the performance analysis and show that the proposed algorithm performs close to the linear case with the added advantage of power savings.

Original language	English (US)
Title of host publication	2015 IEEE International Conference on Communications, ICC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6707-6711
Number of pages	5
ISBN (Electronic)	9781467364324
DOIs	https://doi.org/10.1109/ICC.2015.7249394
State	Published - Sep 9 2015
Event	IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: Jun 8 2015 → Jun 12 2015

Publication series

Name	IEEE International Conference on Communications
Volume	2015-September
ISSN (Print)	1550-3607

Other

Other	IEEE International Conference on Communications, ICC 2015
Country/Territory	United Kingdom
City	London
Period	6/8/15 → 6/12/15

Keywords

adaptive networks
bounded transmission
consensus
distributed sensor networks
nonlinear diffusion

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2015.7249394

Cite this

Lee, J., Tepedelenlioglu, C., Banavar, M. K., & Spanias, A. (2015). Nonlinear diffusion adaptation with bounded transmission over distributed networks. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 6707-6711). Article 7249394 (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7249394

Nonlinear diffusion adaptation with bounded transmission over distributed networks. / Lee, Jongmin; Tepedelenlioglu, Cihan; Banavar, Mahesh K. et al.
2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 6707-6711 7249394 (IEEE International Conference on Communications; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, J, Tepedelenlioglu, C, Banavar, MK & Spanias, A 2015, Nonlinear diffusion adaptation with bounded transmission over distributed networks. in 2015 IEEE International Conference on Communications, ICC 2015., 7249394, IEEE International Conference on Communications, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 6707-6711, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 6/8/15. https://doi.org/10.1109/ICC.2015.7249394

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title = "Nonlinear diffusion adaptation with bounded transmission over distributed networks",

abstract = "This paper introduces diffusion adaptation strategies over distributed networks with nonlinear transmissions, motivated by the necessity for bounded transmit power. Local information is exchanged in real-time with neighboring nodes in order to estimate a common parameter vector via constrained nonlinear transmissions, using an adaptive learning algorithm. We propose nonlinear diffusion strategies for such an adaptive estimation. We will study convergence properties of the proposed algorithm in the mean and the mean-square sense. Simulations support the performance analysis and show that the proposed algorithm performs close to the linear case with the added advantage of power savings.",

keywords = "adaptive networks, bounded transmission, consensus, distributed sensor networks, nonlinear diffusion",

author = "Jongmin Lee and Cihan Tepedelenlioglu and Banavar, {Mahesh K.} and Andreas Spanias",

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year = "2015",

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Y1 - 2015/9/9

N2 - This paper introduces diffusion adaptation strategies over distributed networks with nonlinear transmissions, motivated by the necessity for bounded transmit power. Local information is exchanged in real-time with neighboring nodes in order to estimate a common parameter vector via constrained nonlinear transmissions, using an adaptive learning algorithm. We propose nonlinear diffusion strategies for such an adaptive estimation. We will study convergence properties of the proposed algorithm in the mean and the mean-square sense. Simulations support the performance analysis and show that the proposed algorithm performs close to the linear case with the added advantage of power savings.

AB - This paper introduces diffusion adaptation strategies over distributed networks with nonlinear transmissions, motivated by the necessity for bounded transmit power. Local information is exchanged in real-time with neighboring nodes in order to estimate a common parameter vector via constrained nonlinear transmissions, using an adaptive learning algorithm. We propose nonlinear diffusion strategies for such an adaptive estimation. We will study convergence properties of the proposed algorithm in the mean and the mean-square sense. Simulations support the performance analysis and show that the proposed algorithm performs close to the linear case with the added advantage of power savings.

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KW - bounded transmission

KW - consensus

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KW - nonlinear diffusion

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BT - 2015 IEEE International Conference on Communications, ICC 2015

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Nonlinear diffusion adaptation with bounded transmission over distributed networks

Abstract

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Keywords

ASJC Scopus subject areas

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