Prolonging the lifetime of wireless sensor networks using light-weight forecasting algorithms-Reference-Cited by-同舟云学术

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Prolonging the lifetime of wireless sensor networks using light-weight forecasting algorithms

Published:2013-04 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
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Author:

Aderohunmu F. A.,Paci G.,Brunelli D.,Deng J. D.,Benini L.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6520926/6529738/06529834.pdf?arnumber=6529834

Cited by 11 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. Prediction-based data reduction with dynamic target node selection in IoT sensor networks;Future Generation Computer Systems;2024-03

2. Data transmission reduction using prediction and aggregation techniques in IoT-based wireless sensor networks;Journal of Network and Computer Applications;2023-02

3. Embedded machine learning-based data reduction in application-specific constrained IoT networks;Proceedings of the 35th Annual ACM Symposium on Applied Computing;2020-03-29

4. An adaptive framework for real-time data reduction in AMI;Journal of King Saud University - Computer and Information Sciences;2019-07

5. Improving Accuracy of the Shewhart-based Data-Reduction in IoT Nodes using Piggybacking;2019 IEEE 5th World Forum on Internet of Things (WF-IoT);2019-04

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