Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks

2020 ◽  
Vol 40 ◽  
pp. 101097 ◽  
Author(s):  
Sachi Nandan Mohanty ◽  
E. Laxmi Lydia ◽  
Mohamed Elhoseny ◽  
Majid M. Gethami Al Otaibi ◽  
K. Shankar
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Deep Learning ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Mining Model

scholarly journals Distributed Data Mining in Wireless Sensor Networks

2016 ◽  
Vol 12 (11) ◽  
pp. 68
Author(s):  
Juan Du ◽  
Fenfen Wu
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Rapid Development ◽  
Wireless Sensor ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Data Resource ◽  
Powerful Knowledge

With the rapid development and wide application of sensor network technology, consequently a huge volume of data would be continuously generated and collected. In order to process the data and analyze the data more accurate and efficient, the paper proposed a distributed data mining method in wireless sensor networks. Thus Smart Octopus, an open framework for seamlessly integrating sensor network and data mining technology, so that both of the huge amounts of data resource collected in sensor networks and the powerful knowledge discovery capability of data mining could be effectively and efficiently utilized, is discussed in this paper.

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