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» Multivariate reduction in wireless sensor networks
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EWSN
2009
Springer
14 years 8 months ago
Potentials of Opportunistic Routing in Energy-Constrained Wireless Sensor Networks
The low quality of wireless links leads to perpetual packet losses. While an acknowledgment mechanism is generally used to cope with these losses, multiple retransmissions neverthe...
Gunnar Schaefer, François Ingelrest, Martin...
WCNC
2008
IEEE
14 years 1 months ago
Neural Network-Based Approach for Adaptive Density Control and Reliability in Wireless Sensor Networks
A primary constraint in wireless sensor networks (WSNs) is obtaining reliable and prolonged network operation with power-limited sensor nodes. Most of the approaches to the energy ...
Renita Machado, Sirin Tekinay
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 7 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...
PERCOM
2010
ACM
13 years 5 months ago
Connectivity monitoring in wireless sensor networks
Connectivity monitoring is useful in practical deployment of wireless sensor network. In order to understand the behavior and performance bottleneck, knowledge of the network conn...
Mingze Zhang, Mun Choon Chan, Akkihebbal L. Ananda
ICASSP
2011
IEEE
12 years 11 months ago
Distributed Gaussian particle filtering using likelihood consensus
We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state esti...
Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Pe...