—A new distributed estimation algorithm for tracking using a wireless sensor network is presented. We investigate how to track a time varying signal, noisily sensed by the nodes ...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
— As sensor networks are deployed over various terrains, the complexity of their topology continues to grow. Voids in networks often cause existing geographic routing algorithms ...
Jiaxi You, Dominik Lieckfeldt, Qi Han, Jakob Salzm...
Social interactions that occur regularly typically correspond to significant yet often infrequent and hard to detect interaction patterns. To identify such regular behavior, we p...
Many special-purpose embedded systems such as automobiles and aircrafts consist of multiple embedded controllers connected through embedded network interconnects. Such network inte...