Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
In computer systems today, speed and responsiveness is often determined by network and storage subsystem performance. Faster, more scalable networking interfaces like Fibre Channe...
Kenneth W. Preslan, Andrew P. Barry, Jonathan Bras...
Abstract. Many previous studies have examined the placement of access points (APs) to improve the community’s understanding of the deployment and behavioral characteristics of wi...
Dongsu Han, David G. Andersen, Michael Kaminsky, K...
Network proximity and latency estimation is an important component in discovering and locating services and applications. With the growing number of services and service providers...
Abstract Knowledge of nodes’ locations is an essential requirement for many applications. This paper surveys the current state of the art for localization schemes in sensor netwo...