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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Format: | Article |
Language: | English |
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Wiley
2015-07-01
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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 |