We consider the problem of distributed estimation, where a set of nodes is required to
collectively estimate some parameter of interest from noisy measurements. The problem is …

Distributed estimation of a common unknown parameter vector can be realized efficiently
and robustly over an adaptive network employing diffusion strategies. In the adapt-then …

We study the problem of distributed estimation over adaptive networks where a collection of
nodes are required to estimate in a collaborative manner some parameter of interest from …

Using the diffusion strategies, an unknown parameter vector can be estimated over an
adaptive network by combining the intermediate estimates of neighboring nodes at each …

We propose a new variable step-size diffusion least mean square algorithm for distributed
estimation that adaptively adjusts the step-size in every iteration. For a network application …

In this paper, we consider the distributed parameter estimation in wireless sensor networks
where a total bit rate constraint is imposed. We study the optimal tradeoff between the …

Consider a set of nodes distributed spatially over some region forming a network, where
every node takes measurements of an underlying process. The objective is for every node in …

Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The
nodes interact with each other on a local level and diffuse information across the network to …

We propose an adaptive diffusion mechanism to optimize global cost functions in a
distributed manner over a network of nodes. The cost function is assumed to consist of a …

We study the problem of distributed detection, where a set of nodes is required to decide
between two hypotheses based on available measurements. We seek fully distributed and …