Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network

As the sample data of wireless sensor network (WSN) has increased rapidly with more and more sensors, a centralized data mining solution in a fusion center has encountered the challenges of reducing the fusion center's calculating load and saving the WSN's transmitting power consumption. R...

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Main Authors: Chunlin Li, Xiaofu Xie, Yuejiang Huang, Hong Wang, Changxi Niu
Format: Article
Language:English
Published: Wiley 2015-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/157453
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author Chunlin Li
Xiaofu Xie
Yuejiang Huang
Hong Wang
Changxi Niu
author_facet Chunlin Li
Xiaofu Xie
Yuejiang Huang
Hong Wang
Changxi Niu
author_sort Chunlin Li
collection DOAJ
description As the sample data of wireless sensor network (WSN) has increased rapidly with more and more sensors, a centralized data mining solution in a fusion center has encountered the challenges of reducing the fusion center's calculating load and saving the WSN's transmitting power consumption. Rising to these challenges, this paper proposes a distributed data mining method based on deep neural network (DNN), by dividing the deep neural network into different layers and putting them into sensors. By the proposed solution, the distributed data mining calculating units in WSN share much of fusion center's calculating burden. And the power consumption of transmitting the data processed by DNN is much less than transmitting the raw data. Also, a fault detection scenario is built to verify the validity of this method. Results show that the detection rate is 99%, and WSN shares 64.06% of the data mining calculating task with 58.31% reduction of power consumption.
format Article
id doaj-art-99a3db8246c644158e863947f28dca59
institution Kabale University
issn 1550-1477
language English
publishDate 2015-07-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-99a3db8246c644158e863947f28dca592025-02-03T05:48:38ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/157453157453Distributed Data Mining Based on Deep Neural Network for Wireless Sensor NetworkChunlin LiXiaofu XieYuejiang HuangHong WangChangxi NiuAs the sample data of wireless sensor network (WSN) has increased rapidly with more and more sensors, a centralized data mining solution in a fusion center has encountered the challenges of reducing the fusion center's calculating load and saving the WSN's transmitting power consumption. Rising to these challenges, this paper proposes a distributed data mining method based on deep neural network (DNN), by dividing the deep neural network into different layers and putting them into sensors. By the proposed solution, the distributed data mining calculating units in WSN share much of fusion center's calculating burden. And the power consumption of transmitting the data processed by DNN is much less than transmitting the raw data. Also, a fault detection scenario is built to verify the validity of this method. Results show that the detection rate is 99%, and WSN shares 64.06% of the data mining calculating task with 58.31% reduction of power consumption.https://doi.org/10.1155/2015/157453
spellingShingle Chunlin Li
Xiaofu Xie
Yuejiang Huang
Hong Wang
Changxi Niu
Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network
International Journal of Distributed Sensor Networks
title Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network
title_full Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network
title_fullStr Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network
title_full_unstemmed Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network
title_short Distributed Data Mining Based on Deep Neural Network for Wireless Sensor Network
title_sort distributed data mining based on deep neural network for wireless sensor network
url https://doi.org/10.1155/2015/157453
work_keys_str_mv AT chunlinli distributeddataminingbasedondeepneuralnetworkforwirelesssensornetwork
AT xiaofuxie distributeddataminingbasedondeepneuralnetworkforwirelesssensornetwork
AT yuejianghuang distributeddataminingbasedondeepneuralnetworkforwirelesssensornetwork
AT hongwang distributeddataminingbasedondeepneuralnetworkforwirelesssensornetwork
AT changxiniu distributeddataminingbasedondeepneuralnetworkforwirelesssensornetwork