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A censoring strategy for decentralized estimation in energy-constrained adaptive diffusion networks

This paper presents a censoring strategy for distributed estimation over adaptive networks in scenarios where energy resources are limited. Sensors apply selective communication policies in order to save energy for being able to transmit more important information later. Simulation results show an e...

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Bibliographic Details
Main Authors: Arroyo-Valles, Rocio, Maleki, Sina, Leus, Geert
Format: Conference Proceeding
Language:English
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Summary:This paper presents a censoring strategy for distributed estimation over adaptive networks in scenarios where energy resources are limited. Sensors apply selective communication policies in order to save energy for being able to transmit more important information later. Simulation results show an enhancement in network lifetime, by reducing communication processes among nodes with a slightly degraded result, compared with energy unconstrained schemes.
ISSN:1948-3244
1948-3252
DOI:10.1109/SPAWC.2013.6612031