An event-based diffusion LMS strategy

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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Bibliographic Details
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
Subjects:
Engineering::Electrical and electronic engineering
Diffusion Adaptation
Energy-efficiency
Online Access:https://hdl.handle.net/10356/138201
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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