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Wireless Personal Communications
Published in: Wireless Personal Communications 2/2018

15-01-2018

The Failure Detection Method of WSN Based on PCA-BDA and Fuzzy Neural Network

Authors: Bing Xu, Xiaoping Zhang, Liqun Liu

Published in: Wireless Personal Communications | Issue 2/2018

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Abstract

The Failure Detection algorithm based on Fuzzy Neural Network (FDD-FNN) method is proposed for effective detection of Wireless Sensor Network (WSN) system failures. In this method, the failure detection method for WSN and the minimum deviation optimization model based on the principle component analysis-Bayes discriminant analysis (PCA-BDA) and feature information entropy are proposed, input layer, fuzzy layer, fuzzy rule layer and ambiguity layer are designed, and the algorithm processes is introduced. Finally, the effects of key factors of FDD-FNN were investigated using simulations and its performance was compared with those of conventional algorithms. The results indicated excellent adaptability of FDD-FNN.
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Metadata
Title
The Failure Detection Method of WSN Based on PCA-BDA and Fuzzy Neural Network
Authors
Bing Xu
Xiaoping Zhang
Liqun Liu
Publication date
15-01-2018
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5225-9

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