Distributed Universal Adaptive Networks

Adaptive networks (ANs) are effective real time techniques to process and track events observed by sensor and, more recently, equip Internet of Things (IoT) applications. ANs operate over nodes equipped with collaborative adaptive filters that solve distributively an estimation problem common the whole network. However, they do not guarantee lose from cooperation, as compared its non-cooperative operation; poor rejected exceptional estimates reach entire network; performance is uniform all nodes. In order enforce such properties, this work introduces concept distributed universal estimation, which encompasses new concepts local universality, global universality respect operation. We then construct a cooperation protocol proven be universal, outperforming direct competitors literature, shown several simulations. Mean mean-square analytical models developed, good agreement between theory