Censoring Diffusion for Harvesting WSNs

09/29/2015
by   Jesus Fernandez-Bes, et al.
0

In this paper, we analyze energy-harvesting adaptive diffusion networks for a distributed estimation problem. In order to wisely manage the available energy resources, we propose a scheme where a censoring algorithm is jointly applied over the diffusion strategy. An energy-aware variation of a diffusion algorithm is used, and a new way of measuring the relevance of the estimates in diffusion networks is proposed in order to apply a subsequent censoring mechanism. Simulation results show the potential benefit of integrating censoring schemes in energy-constrained diffusion networks.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/07/2021

Distributed adaptive algorithm based on the asymmetric cost of error functions

In this paper, a family of novel diffusion adaptive estimation algorithm...
research
09/28/2022

Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and Stocking

We propose, analyze and test two novel fully discrete decoupled lineariz...
research
02/28/2019

System Outage Performance for Three-Step Two-Way Energy Harvesting DF Relaying

Wireless energy harvesting (WEH) has been recognized as a promising tech...
research
05/16/2020

An energy stable and positivity-preserving scheme for the Maxwell-Stefan diffusion system

We develop a new finite difference scheme for the Maxwell-Stefan diffusi...
research
02/14/2018

Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links

Distributed estimation over networks draws much attraction in recent yea...
research
11/30/2017

On reducing the communication cost of the diffusion LMS algorithm

The rise of digital and mobile communications has recently made the worl...
research
03/26/2019

On the Performance of Exact Diffusion over Adaptive Networks

Various bias-correction methods such as EXTRA, DIGing, and exact diffusi...

Please sign up or login with your details

Forgot password? Click here to reset