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» Aggregation methods for large-scale sensor networks
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SENSYS
2003
ACM
15 years 2 months ago
GEM: graph eMbedding for routing and data-centric storage in sensor networks without geographic information
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
James Newsome, Dawn Xiaodong Song
98
Voted
TSP
2012
13 years 5 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 9 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
BROADNETS
2006
IEEE
15 years 3 months ago
Securing Sensor Networks Using A Novel Multi-Channel Architecture
— In many applications of sensor networks, security is a very important issue. To be resistant against the various attacks, nodes in a sensor network can establish pairwise secre...
Chao Gui, Ashima Gupta, Prasant Mohapatra
103
Voted
ICC
2011
IEEE
257views Communications» more  ICC 2011»
13 years 9 months ago
Increasing the Lifetime of Roadside Sensor Networks Using Edge-Betweenness Clustering
Abstract—Wireless Sensor Networks are proven highly successful in many areas, including military and security monitoring. In this paper, we propose a method to use the edge–bet...
Joakim Flathagen, Ovidiu Valentin Drugan, Paal E. ...