An event-based diffusion LMS strategy

We consider an event-based communication mechanism for diffusion least mean-squares estimation in a sensor network, in which an intermediate estimate from a sensor is communicated to its neighbors only when a triggering criterion is satisfied. We provide a sufficient condition for the mean error sta...

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Main Authors: Wang, Yuan, Tay, Wee Peng, Hu, Wuhua
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/138201
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1382012020-04-29T01:53:56Z An event-based diffusion LMS strategy Wang, Yuan Tay, Wee Peng Hu, Wuhua School of Electrical and Electronic Engineering 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) Engineering::Electrical and electronic engineering Diffusion Adaptation Energy-efficiency We consider an event-based communication mechanism for diffusion least mean-squares estimation in a sensor network, in which an intermediate estimate from a sensor is communicated to its neighbors only when a triggering criterion is satisfied. We provide a sufficient condition for the mean error stability of our proposed event-based diffusion strategy, and derive an upper bound of its steady-state network mean-square deviation (MSD). Simulations demonstrate that our event-based strategy can achieve similar steady-state network MSD as the adapt-then-combine diffusion strategy but at a significantly lower communication rate. NRF (Natl Research Foundation, S’pore) Accepted version 2020-04-29T01:53:55Z 2020-04-29T01:53:55Z 2018 Conference Paper Wang, Y., Tay, W. P., & Hu, W. (2018). An event-based diffusion LMS strategy. Proceedings of the 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 154-158. doi:10.1109/SAM.2018.8448841 9781538647523 https://hdl.handle.net/10356/138201 10.1109/SAM.2018.8448841 2-s2.0-85053596573 154 158 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/SAM.2018.8448841 application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Diffusion Adaptation
Energy-efficiency
spellingShingle Engineering::Electrical and electronic engineering
Diffusion Adaptation
Energy-efficiency
Wang, Yuan
Tay, Wee Peng
Hu, Wuhua
An event-based diffusion LMS strategy
description We consider an event-based communication mechanism for diffusion least mean-squares estimation in a sensor network, in which an intermediate estimate from a sensor is communicated to its neighbors only when a triggering criterion is satisfied. We provide a sufficient condition for the mean error stability of our proposed event-based diffusion strategy, and derive an upper bound of its steady-state network mean-square deviation (MSD). Simulations demonstrate that our event-based strategy can achieve similar steady-state network MSD as the adapt-then-combine diffusion strategy but at a significantly lower communication rate.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Yuan
Tay, Wee Peng
Hu, Wuhua
format Conference or Workshop Item
author Wang, Yuan
Tay, Wee Peng
Hu, Wuhua
author_sort Wang, Yuan
title An event-based diffusion LMS strategy
title_short An event-based diffusion LMS strategy
title_full An event-based diffusion LMS strategy
title_fullStr An event-based diffusion LMS strategy
title_full_unstemmed An event-based diffusion LMS strategy
title_sort event-based diffusion lms strategy
publishDate 2020
url https://hdl.handle.net/10356/138201
_version_ 1681056362601119744