A lot of work has been done recently to develop algorithms that utilize the distributed
structure of an ad hoc wireless sensor network to estimate a certain parameter of interest …

In this paper the authors propose an adaptive estimation algorithm for in‐network
processing of complex signals over distributed networks. In the proposed algorithm, as the …

Augmented adaptive filters provide superior performance over their conventional
counterparts when dealing with noncircular complex signals. However, the performance of …

The article studies the steady‐state performance of a diffusion least‐mean squares (LMS)
adaptive network with imperfect communications where the topology is random (links may …

In this paper, we study the problem of distributed bias-compensated recursive least-squares
(BCRLS) estimation over multi-agent networks, where the agents collaborate to estimate a …

This article investigates the problem of distributed least mean-square (D-LMS) estimation
over a network with quantised communication. Each node in the network has a quantiser …

The localization is a very important task in many internet of things (IoT) based applications.
Due to high requirements of communication cost and power consumption, however, existing …

Recently proposed distributed adaptive estimation algorithms for wireless sensor networks
(WSNs) do not consider errors due to noisy links, which occur during the transmission of …

Least mean squares (LMS) adaptive algorithms are attractive for distributed environment
parameter estimation problems in a smart city due to the benefits of cooperation, adaptation …

We propose diffusion least-mean-square (LMS) algorithms that use multi-combination step.
We allow each node in the network to use information from multi-hop neighbors to …