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