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RTSS
2009
IEEE
16 years 26 days ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
TMC
2010
138views more  TMC 2010»
15 years 4 months ago
Secure Data Collection in Wireless Sensor Networks Using Randomized Dispersive Routes
—Compromised-node and denial-of-service are two key attacks in wireless sensor networks (WSNs). In this paper, we study routing mechanisms that circumvent (bypass) black holes fo...
Tao Shu, Marwan Krunz, Sisi Liu
ICPR
2008
IEEE
16 years 7 months ago
Dynamic target classification in wireless sensor networks
Feature extraction and classification are two important components in pattern recognition. In this paper, we propose dynamic target classification in WSNs. The main idea of this a...
Ying Sun, Hairong Qi
IJON
2007
131views more  IJON 2007»
15 years 6 months ago
Margin-based active learning for LVQ networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
ICDE
2004
IEEE
140views Database» more  ICDE 2004»
16 years 7 months ago
Approximate Aggregation Techniques for Sensor Databases
In the emerging area of sensor-based systems, a significant challenge is to develop scalable, fault-tolerant methods to extract useful information from the data the sensors collec...
Jeffrey Considine, Feifei Li, George Kollios, John...