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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Main Authors: Arroyo-Valles, Rocio, Maleki, Sina, Leus, Geert
Format: Conference Proceeding
Language:English
Subjects:
adaptive networks
Adaptive systems
decision rules
distributed estimation
energy efficiency
Noise
Sensors
Signal processing algorithms
Vectors
Wireless sensor networks
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creator Arroyo-Valles, Rocio
Maleki, Sina
Leus, Geert
description 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.
doi_str_mv 10.1109/SPAWC.2013.6612031
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subjects adaptive networks
Adaptive systems
decision rules
distributed estimation
energy efficiency
Noise
Sensors
Signal processing algorithms
Vectors
Wireless sensor networks
title A censoring strategy for decentralized estimation in energy-constrained adaptive diffusion networks
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