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SENSYS
2004
ACM
15 years 7 months ago
Power - time optimal algorithm for computing FFT over sensor networks
bstract: Power - Time Optimal Algorithm for Computing FFT over Sensor Networks Categories and Subject Descriptors C.2.1 [Network Architecture and Design] Wireless Communication, Di...
Turkmen Canli, Mark Terwilliger, Ajay K. Gupta, As...
ICML
2009
IEEE
16 years 2 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
INFOCOM
2008
IEEE
15 years 8 months ago
Underwater Localization in Sparse 3D Acoustic Sensor Networks
—We study the localization problem in sparse 3D underwater sensor networks. Considering the fact that depth information is typically available for underwater sensors, we transfor...
Wei Cheng, Amin Y. Teymorian, Liran Ma, Xiuzhen Ch...
ICC
2007
IEEE
101views Communications» more  ICC 2007»
15 years 8 months ago
Predicting the Performance of Mobile Ad Hoc Networks Using Scaled-Down Replicas
—Experimentation with mobile ad hoc network testbeds is preferred to simulations for performing high fidelity testing. But, at the same time, realistic experimentation with larg...
Fragkiskos Papadopoulos, Konstantinos Psounis
CORR
2010
Springer
110views Education» more  CORR 2010»
15 years 1 months ago
Predicting the Impact of Measures Against P2P Networks on the Transient Behaviors
The paper has two objectives. The first is to study rigorously the transient behavior of some P2P networks where information is replicated and disseminated according to an epidemic...
Eitan Altman, Philippe Nain, Adam Shwartz, Yuedong...