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» Challenges for Data Mining in Distributed Sensor Networks
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ICNP
2009
IEEE
14 years 2 months ago
Attack-Tolerant Distributed Sensing for Dynamic Spectrum Access Networks
—Accurate sensing of the spectrum condition is of crucial importance to the mitigation of the spectrum scarcity problem in dynamic spectrum access (DSA) networks. Specifically, ...
Alexander W. Min, Kang G. Shin, Xin Hu
BTW
2009
Springer
127views Database» more  BTW 2009»
14 years 2 months ago
In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
Conny Franke, Marcel Karnstedt, Daniel Klan, Micha...
IPSN
2005
Springer
14 years 1 months ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
ACMSE
2004
ACM
14 years 1 months ago
Implementing the TEA algorithm on sensors
Sensors are tiny computers with limited computational capability and physical resources. The implementation of secure protocols for sensor network is a big challenge. In order to ...
Shuang Liu, Olga V. Gavrylyako, Phillip G. Bradfor...
PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday