A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks

The distributed adaptive signal fusion (DASF) framework has been proposed as a generic method to solve spatial filtering and signal fusion problems in a distributed fashion over a wireless sensor network, reducing the communication and energy costs compared to a centralized approach. The DASF framework assumes that there is a common goal across the nodes, i.e., all nodes collaborate to optimize the same network-wide objective function. However, some applications require node-specific objectives, which are linked via a common latent target signal subspace. In this work, we propose the distributed adaptive node-specific signal fusion (DANSF) algorithm which builds upon the DASF framework, and extends it to allow for such node-specific spatial filtering problems.