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» Adaptive sampling for sensor networks
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JPDC
2007
209views more  JPDC 2007»
13 years 9 months ago
Application-aware integration of data collection and power management in wireless sensor networks
Sensors are typically deployed to gather data about the physical world and its artifacts for a variety of purposes that range from environment monitoring, control, to data analysi...
Qi Han, Sharad Mehrotra, Nalini Venkatasubramanian
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 1 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
PERCOM
2005
ACM
14 years 8 months ago
MASTAQ: A Middleware Architecture for Sensor Applications with Statistical Quality Constraints
We present the design goals and functional components of MASTAQ, a data management middleware for pervasive applications that utilize sensor data. MASTAQ allows applications to sp...
Inseok Hwang, Qi Han, Archan Misra
GLOBECOM
2008
IEEE
14 years 3 months ago
Assigning Sensors to Competing Missions
— When a sensor network is deployed in the field, it is typically required to support multiple simultaneous missions, which may start and finish at different times. Schemes tha...
Hosam Rowaihy, Matthew P. Johnson, Amotz Bar-Noy, ...
CF
2005
ACM
13 years 11 months ago
SPANIDS: a scalable network intrusion detection loadbalancer
Network intrusion detection systems (NIDS) are becoming an increasingly important security measure. With rapidly increasing network speeds, the capacity of the NIDS sensor can lim...
Lambert Schaelicke, Kyle Wheeler, Curt Freeland