Distributed parameter and state estimation in a network of sensors
Michel Kieffer · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2008
In this paper, we have considered distributed bounded-error state estimation applied to the problem of source tracking with a network of wireless sensors. Estimation is performed in a distributed context, emph{i.e.}, each sensor has only a limited amount of measurements available. A guaranteed set estimator is put at work. At each time instant, any sensor of the node has its own set estimate of the location of the source.