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» SwissQM: Next Generation Data Processing in Sensor Networks
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PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
ICDE
2005
IEEE
130views Database» more  ICDE 2005»
14 years 1 months ago
Data Acquisition in Sensor Networks with Large Memories
Sensor Networks will soon become ubiquitous, making them essential tools for monitoring the activity and evolution of our surrounding environment. However such environments are ex...
Demetrios Zeinalipour-Yazti, Vana Kalogeraki, Dimi...
EURONGI
2008
Springer
13 years 9 months ago
Secure and Efficient Data Collection in Sensor Networks
Sensor networks are a very specific type of wireless networks where both security and performance issues need to be solved efficiently in order to avoid manipulations of the sensed...
Cristina Cano, Manel Guerrero, Boris Bellalta
MASS
2010
119views Communications» more  MASS 2010»
13 years 5 months ago
Energy-efficient data redistribution in sensor networks
We address the energy-efficient data redistribution problem in data intensive sensor networks (DISNs). The key question in sensor networks with large volumes of sensory data is how...
Bin Tang, Neeraj Jaggi, Haijie Wu, Rohini Kurkal
MM
2005
ACM
103views Multimedia» more  MM 2005»
14 years 1 months ago
IrisNet: an internet-scale architecture for multimedia sensors
Most current sensor network research explores the use of extremely simple sensors on small devices called motes and focuses on overcoming the resource constraints of these devices...
Jason Campbell, Phillip B. Gibbons, Suman Nath, Pa...