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» Higher dimensional consensus algorithms in sensor networks
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OPODIS
2004
14 years 11 months ago
A Hierarchy-Based Fault-Local Stabilizing Algorithm for Tracking in Sensor Networks
In this paper, we introduce the concept of hierarchy-based fault-local stabilization and a novel self-healing/fault-containment technique and apply them in Stalk. Stalk is an algo...
Murat Demirbas, Anish Arora, Tina Nolte, Nancy A. ...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
14 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
MOBIHOC
2005
ACM
15 years 9 months ago
Low-coordination topologies for redundancy in sensor networks
Tiny, low-cost sensor devices are expected to be failure-prone and hence in many realistic deployment scenarios for sensor networks these nodes are deployed in higher than necessa...
Rajagopal Iyengar, Koushik Kar, Suman Banerjee
ICDCS
2008
IEEE
15 years 4 months ago
Hotness-Aware Sensor Networks
In a realistic sensor network, in particular with a nonuniform deployment, sensor nodes inevitably have varying workloads. This causes a natural problem that some sensor nodes are...
Dong Li, Yanmin Zhu, Li Cui, Lionel M. Ni
84
Voted
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...