Locating the Nodes From Incomplete Euclidean Distance Matrix Using Bayesian Learning-Reference-Cited by-同舟云学术

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Locating the Nodes From Incomplete Euclidean Distance Matrix Using Bayesian Learning

Published:2019 Issue: Volume:7 Page:37406-37413
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xue Bo^ORCID,Zhang Linghua,Yu Yang,Zhu Weiping^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Scientific Research Start-Up Fund Project of the Jiangsu University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08667005.pdf?arnumber=8667005

Cited by 5 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. Machine Learning Based Techniques for Node Localization in WSN: A Survey;2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT);2023-03-17

2. Recovery schemes of Hop Count Matrix via topology inference and applications in range-free localization;Expert Systems with Applications;2022-08

3. Secure Localization and Velocity Estimation in Mobile IoT Networks With Malicious Attacks;IEEE Internet of Things Journal;2021-04-15

4. Robust Localization for Mixed LOS/NLOS Environments With Anchor Uncertainties;IEEE Transactions on Communications;2020-07

5. Recovery of Hop Count Matrices for the Sensing Nodes in Internet of Things;IEEE Internet of Things Journal;2020-06

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