Data prediction model in wireless sensor networks based on bidirectional LSTM

Data prediction model in wireless sensor networks based on bidirectional LSTM

Abstract The data collected by the wireless sensor nodes often has some spatial or temporal redundancy, and the redundant data impose unnecessary burdens on both the nodes and networks. Data prediction is helpful to improve data quality and reduce the unnecessary data transmission. However, the curr...

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Bibliographic Details
Main Authors: Hongju Cheng, Zhe Xie, Leihuo Wu, Zhiyong Yu, Ruixing Li
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Wireless sensor networks
Data prediction
Spatial-temporal correlation
LSTM
Online Access:http://link.springer.com/article/10.1186/s13638-019-1511-4

Internet

http://link.springer.com/article/10.1186/s13638-019-1511-4

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