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ESANN
2006
13 years 9 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
ICPADS
2008
IEEE
14 years 2 months ago
UDB: Using Directional Beacons for Localization in Underwater Sensor Networks
Underwater Sensor Networks (UWSN) are widely used in many applications, such as oceanic resource exploration, pollution monitoring, tsunami warnings and mine reconnaissance. In UW...
Hanjiang Luo, Yiyang Zhao, Zhongwen Guo, Siyuan Li...
PERCOM
2005
ACM
14 years 7 months ago
Autonomous Localization Method in Wireless Sensor Networks
In wireless sensor networks, localization systems use data from sensors which receive signals from moving targets, measure RSSI, and translate RSSI into the distance between senso...
Yoshikazu Ohta, Masashi Sugano, Masayuki Murata
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
A general Gaussian-mixture approach for range-only mapping using multiple hypotheses
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fernando Caballero, Luis Merino, Aníbal Oll...
VTC
2010
IEEE
177views Communications» more  VTC 2010»
13 years 6 months ago
Randomized Robot-Assisted Relocation of Sensors for Coverage Repair in Wireless Sensor Networks
—In wireless sensor networks (WSN), stochastic node dropping and unpredictable node failure greatly impair coverage, creating sensing holes, while locally redundant sensors exist...
Greg Fletcher, Xu Li, Amiya Nayak, Ivan Stojmenovi...