Neural networks for cognitive sensor networks

Neural networks for cognitive sensor networks

The paper puts forward a concept of cognitive sensor networks and investigates a feasibility of artificial neural networks application for its realization. It describes a design of novel hierarchical configurations imitating the structural topology of brain-like architectures. They are composed from...

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Hauptverfasser: Reznik, L., Von Pless, G.
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description The paper puts forward a concept of cognitive sensor networks and investigates a feasibility of artificial neural networks application for its realization. It describes a design of novel hierarchical configurations imitating the structural topology of brain-like architectures. They are composed from artificial neural networks distributed over network platforms with limited resources. The paper examines a cognition idea based on its implementation through the signal change detection. The novel multilevel neural networks architectures are designed and tested in sensor networks built from Crossbow Inc. sensor kits. The results are compared against conventional multilayer perceptron structures in terms of both functional efficiency and resource consumption.
doi_str_mv 10.1109/IJCNN.2008.4633957
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identifier ISSN: 2161-4393
ispartof 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1235-1241
issn 2161-4393
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2161-4407
language eng
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Artificial neural networks
Conferences
Joints
title Neural networks for cognitive sensor networks
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