Design and Development of Detection Node in Wireless Sensor Network Based on Neural Network

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Abstract:

Multilayer BP neural network is a one-way transmission of feed forward network and it has three or more than three layers of neural network, including input layer, hidden layer and output layer. Wireless sensor network is composed in certain region has a plurality of wireless communication, sensing, data processing capabilities of network nodes. The paper presents design and development of detection node in wireless sensor network based on neural network. The simulation results prove the validity of the adopted BP neural network to build wireless sensor network node.

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292-295

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wei Cheng, Yong Li, Yaming Zhang, Dong Li, A Novel Localization Scheme Base on Adaptive Sampling and Refinement for Wireless Sensor Networks, JCIT, Vol. 8, No. 3, p.312 ~ 321, (2013).

DOI: 10.4156/jcit.vol8.issue3.37

Google Scholar

[2] Gang Lu, Wei Zhao, Shiyi Mao, Shuqin Sun, Sensor Selection for Target Tracking in a Wireless Sensor Network of Bearing-only Sensor, JDCTA, Vol. 6, No. 1, p.41 ~ 48, (2012).

DOI: 10.1049/cp.2013.0304

Google Scholar

[3] Li Jun, Kan Shulin, The Study on Multi-motor Control System Based on Fuzzy PID Control and BP Neural Network, AISS, Vol. 4, No. 1, p.100 ~ 107, (2012).

DOI: 10.4156/aiss.vol4.issue1.13

Google Scholar

[4] Jinxue Sui, , Li Yang, Zhilin Zhu, Flame Burning Condition Recognition Based on Improved ART Neural Network, IJACT, Vol. 3, No. 4, p.32 ~ 40, (2011).

Google Scholar