An energy-efficient data collection scheme using denoising autoencoder in wireless sensor networks-Reference-Cited by-同舟云学术

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An energy-efficient data collection scheme using denoising autoencoder in wireless sensor networks

Published:2019-02 Issue:1 Volume:24 Page:86-96
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tinshhua Sci. Technol.

Author:

Li Guorui,Peng Sancheng,Wang Cong,Niu Jianwei,Yuan Ying

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/8526498/08526509.pdf?arnumber=8526509

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ARIMA Time Series Modelling for Energy Forecasting in Wireless Sensor Networks;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. Convolutional Auto-encoder-Based Packet-Loss-and-Error-Resilient Data Collection Method for Underwater Sensors;2024 13th International Conference on Communications, Circuits and Systems (ICCCAS);2024-05-10

3. Optimization analysis of distributed energy consumption based on dynamic data synchronization and intelligent control;International Journal of Adaptive Control and Signal Processing;2024-04-23

4. An energy efficient fusing data gathering protocol in wireless sensor networks;Computer Networks;2024-04

5. Asymmetric Autoencoders: An NN alternative for resource-constrained devices in IoT networks;Ad Hoc Networks;2024-04

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