Censoring Diffusion for Harvesting WSNs
This work addresses energy constraints in wireless sensor networks, but it appears incremental as it builds on existing diffusion methods with a new censoring mechanism.
The paper tackles the problem of distributed estimation in energy-harvesting wireless sensor networks by proposing a scheme that integrates a censoring algorithm with an energy-aware diffusion strategy, resulting in improved energy management as shown in simulation results.
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.