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» Data fusion in sensor networks
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DMSN
2005
ACM
15 years 1 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...
ADHOCNETS
2009
Springer
15 years 5 months ago
Optimal Cluster Sizes for Wireless Sensor Networks: An Experimental Analysis
Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering prot...
Anna Förster, Alexander Förster, Amy L. ...
ICESS
2004
Springer
15 years 4 months ago
A New Gradient-Based Routing Protocol in Wireless Sensor Networks
A new gradient-based routing protocol is proposed in this paper. It takes into account the minimum hop count and remaining energy of each node while relaying data from source node ...
Li Xia, Xi Chen, Xiaohong Guan
ICASSP
2011
IEEE
14 years 3 months ago
Signal-based segmentation of human locomotion using embedded sensor network
We introduce a simple approach to segment in homogeneous phases a long-duration record of locomotion data consisting of body segment acceleration and foot pressure information onl...
Maud Pasquier, Bernard Espiau, Christine Azevedo-C...
EVOW
2003
Springer
15 years 4 months ago
Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
William B. Langdon, S. J. Barrett, Bernard F. Buxt...