Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
This paper discuss the ability to obtain a reliable pervasive information at home from a network of localizing sensors allowing to follow the different locations at which a depend...
Yannick Fouquet, Nicolas Vuillerme, Jacques Demong...
Wireless sensor networks consist of a system of distributed sensors embedded in the physical world, and promise to allow observation of previously unobservable phenomena. Since th...
Ramakrishna Gummadi, Nupur Kothari, Todd D. Millst...
Soil contains vast ecosystems that play a key role in the Earth’s water and nutrient cycles, but scientists cannot currently collect the high-resolution data required to fully u...
Nithya Ramanathan, Thomas Schoellhammer, Eddie Koh...
—Traditional approaches for wireless sensor network diagnosis are mainly sink-based. They actively collect global evidences from sensor nodes to the sink so as to conduct central...