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» Data-Driven Processing in Sensor Networks
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AINA
2010
IEEE
15 years 2 months ago
Active Data Selection for Sensor Networks with Faults and Changepoints
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...
ICCCN
2007
IEEE
15 years 4 months ago
Performance of a Robust Filter-based Approach for Contour Detection in Wireless Sensor Networks
—A robust filter-based approach is proposed for wireless sensor networks for detecting contours of a signal distribution over a 2-dimensional region. The motivation for contour d...
Hadi Alasti, William A. Armstrong, Asis Nasipuri
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 10 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
SIGSOFT
2010
ACM
14 years 7 months ago
Software engineering and wireless sensor networks: happy marriage or consensual divorce?
The development of wireless sensor networks (WSNs) software today is tackled by a code-and-fix process that relies solely on the primitive constructs provided by the operating sys...
Gian Pietro Picco
BSN
2009
IEEE
211views Sensor Networks» more  BSN 2009»
15 years 2 months ago
TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment
— This work presents TEMPO (Technology-Enabled Medical Precision Observation) 3.1, a third generation body area sensor platform that accurately and precisely captures, processes,...
Adam T. Barth, Mark A. Hanson, Harry C. Powell Jr....