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2018 | OriginalPaper | Chapter

The Study of WSN Node Localization Method Based on Back Propagation Neural Network

Authors : Chunliang Zhou, Le Wang, Lu Zhengqiu

Published in: International Conference on Applications and Techniques in Cyber Security and Intelligence

Publisher: Springer International Publishing

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Abstract

In order to cut down the localization accuracy problem of wireless sensor network (WSN), a novel node localization method is proposed with back propagation neural network (BPNN). At first, the calculation of node localization is presented by ranging interval and signal strength, and the parameters are rapid solving base on BPNN. Finally, a simulation experiment is conducted to study the influence key factor with NS2 and MATLAB. The results show that, compared other localization algorithm, this method has good suitability, and it could effectively reduce the localization error.

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Metadata
Title
The Study of WSN Node Localization Method Based on Back Propagation Neural Network
Authors
Chunliang Zhou
Le Wang
Lu Zhengqiu
Copyright Year
2018
Book
International Conference on Applications and Techniques in Cyber Security and Intelligence

Print ISBN: 978-3-319-67070-6

Electronic ISBN: 978-3-319-67071-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67071-3_54

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