Combining Learners to Predict Link Quality in Wireless IoT Networks-Reference-Cited by-同舟云学术

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Combining Learners to Predict Link Quality in Wireless IoT Networks

Published:2022-06-14 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)
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Author:

Sindjoung Miguel Landry Foko¹,Velempini Mthulisi¹,Minet Pascale²

Affiliation:

1. University of Limpopo,Department of Computer Science,Mankweng,South Africa

2. Previously at INRIA,Paris,France

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842860/9842863/09843006.pdf?arnumber=9843006

Reference21 articles.

1. Four bit wireless link estimation;fonseca;ACM HotNets-VI,2007

2. A Study on Hardware and Software Link Quality Metrics for Wireless Multimedia Sensor Networks;kirubasri;Int J Advanced Networking and Applications,2016

3. Temporal Adaptive Link Quality Prediction with Online Learning

4. On-line learning and prediction of link quality in wireless sensor networks

Cited by 3 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. ARPMEC: an adaptive mobile edge computing-based routing protocol for IoT networks;Cluster Computing;2024-04-23

2. PEFTOSPRO: A Power-Efficient and Fault-Tolerant Scheme for Permutation Routing in Multi-hop Wireless Sensor Networks;International Journal of Wireless Information Networks;2024-01-24

3. Link Quality Estimation in 6TiSCH Networks: A Review;2022 First International Conference on Computer Communications and Intelligent Systems (I3CIS);2022-11-22

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