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» Challenges for Data Mining in Distributed Sensor Networks
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INFOCOM
2003
IEEE
14 years 24 days ago
A Distributed and Adaptive Signal Processing Approach to Reducing Energy Consumption in Sensor Networks
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
IPSN
2010
Springer
13 years 9 months ago
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using mot
Body sensor networks are emerging as a promising platform for remote human monitoring. With the aim of extracting bio-kinematic parameters from distributed body-worn sensors, thes...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
ICDE
2010
IEEE
198views Database» more  ICDE 2010»
14 years 25 days ago
Power-aware data analysis in sensor networks
Abstract— Sensor networks have evolved to a powerful infrastructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation op...
Daniel Klan, Katja Hose, Marcel Karnstedt, Kai-Uwe...
COMPGEOM
2007
ACM
13 years 11 months ago
Distributed computation of virtual coordinates
Sensor networks are emerging as a paradigm for future computing, but pose a number of challenges in the fields of networking and distributed computation. One challenge is to devis...
Mirela Ben-Chen, Craig Gotsman, Camille Wormser
JDCTA
2010
119views more  JDCTA 2010»
13 years 2 months ago
Distributed Dual Cluster Algorithm Based on Grid for Sensor Streams
In practical applications, Wireless Sensor Networks generate massive data streams with the dual attributes in geography and optimization domain. Energy source of sensor nodes in W...
Jianghua Huang, Junying Zhang