Distributed reconstruction of time-varying spatial fields based on consensus propagation

This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN).We use basis functions to formulate a low-dimensional subspace model for the field and estimate the field coefficients using a suitably modified version of consensus propagation (CP), which is a distributed asynchronous averaging algorithm with favorable convergence. Simulation results confirm the excellent performance of the proposed method in static and dynamic environments.