Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion
(MCC), including adapt then combine MCC and combine then adapt MCC, are developed to …

In the case where the measurement noise involves impulsive interference, distributed
estimation algorithms based on the mean-square error (MSE) criterion may suffer from …

In this brief, we propose a reduced communication diffusion algorithm for distributed
estimation over multi-agent. In the proposed algorithm, agents cooperatively optimize a …

This paper proposes an adversary-resilient communication-efficient distributed estimation
algorithm for time-varying networks. It is a generalization of the doubly compressed diffusion …

This paper proposes robust diffusion maximum versoria criterion algorithms to enhance the
performance of the distributed estimation in a network of agents under impulsive noise …

This paper considers the diffusion LMS (DLMS) algorithm over wireless sensor network with
motifs. Network motifs are local structural patterns which are quite common in wireless …

In the conventional centralized adaptive direct position determination (C-ADPD) approach,
the emitter position is estimated at the fusion center (usually one of the sensors) with all the …

The paper proposes a smart method to remove network nodes that are highly prone to
impulse noise and replacing them with a linear combination of existing more reliable nodes …

Increasing the energy efficiency of an Internet of Things (IoT) system is a major challenge for
its successful implementation. To reduce the computation and storage burden and enhance …

The diffusion LMS (DLMS) is one of the most popular online distributed estimation
algorithms, due to its simplicity and ease of implementation. However, it may suffer from …