Distributed adaptive node-specific MMSE signal estimation in sensor networks with a tree topology

This paper presents a distributed adaptive node-specific MMSE signal estimation (DANSE) algorithm that operates in a wireless sensor network with a tree topology. It is argued why a tree topology is the natural choice for this algorithm. It is assumed that the signals that are estimated in the nodes, are linear combinations of a common latent low-dimensional random process. The DANSE algorithm then significantly compresses the data to be transmitted by the nodes, yet still provides the optimal node-specific MMSE estimator at every node. Despite the multi-hop transmission, the amount of data sent by each node remains roughly the same as in a fully-connected network.