Censoring Diffusion for Harvesting WSNs

TL;DR

This paper introduces a censoring mechanism integrated with energy-aware diffusion algorithms in wireless sensor networks to improve energy management and estimation relevance, demonstrating benefits through simulations.

Contribution

It proposes a novel joint censoring and diffusion strategy for energy-harvesting sensor networks, enhancing resource management and estimate relevance measurement.

Findings

Censoring improves energy efficiency in diffusion networks.

Simulation results confirm the effectiveness of the proposed scheme.

The approach enhances distributed estimation accuracy under energy constraints.

Abstract

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.