Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
The current sensor networks are assumed to be designed for specific applications, having strongly coupled data communication protocols. The future sensor networks are envisioned a...
The wireless sensor network community approached netabstractions as an open question, allowing answers to emerge with time and experience. The Trickle algorithm has become a basic...
Philip Levis, Eric A. Brewer, David E. Culler, Dav...
In this paper we describe TinyLime, a novel middleware for wireless sensor networks that departs from the traditional setting where sensor data is collected by a central monitorin...
Carlo Curino, Matteo Giani, Marco Giorgetta, Aless...
Phenomenal advances in nano-technology and packaging have made it possible to develop miniaturized low-power devices that integrate sensing, special-purpose computing, and wireles...
Alan A. Bertossi, Stephan Olariu, Maria Cristina P...