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» Blind calibration of sensor networks
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PERCOM
2007
ACM
14 years 7 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
ICC
2009
IEEE
163views Communications» more  ICC 2009»
14 years 2 months ago
Virtual Calibration for RSSI-Based Indoor Localization with IEEE 802.15.4
— Localization systems based on Received Signal Strength Indicator (RSSI) exploit fingerprinting (based on extensive signal strength measurements) to calibrate the system paramet...
Paolo Barsocchi, Stefano Lenzi, Stefano Chessa, Ga...
ICASSP
2011
IEEE
12 years 11 months ago
Distributed blind source separation with an application to audio signals
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusio...
Yusuke Hioka, W. Bastiaan Kleijn
EAAI
2006
157views more  EAAI 2006»
13 years 7 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
PERCOM
2009
ACM
14 years 2 months ago
HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors
—Positioning is a crucial task in pervasive computing, aimed at estimating the user’s positions to provide location-based services. In this paper, we study an interesting probl...
Vincent Wenchen Zheng, Junhui Zhao, Yongcai Wang, ...