Exploiting temporal dependency of <scp>RSS</scp> data with deep learning for <scp>IoT</scp> ‐oriented wireless indoor localization-Reference-Cited by-同舟云学术

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Exploiting temporal dependency of RSS data with deep learning for IoT ‐oriented wireless indoor localization

Published:2022-03-27 Issue: Volume: Page:
ISSN:2476-1508
Container-title:Internet Technology Letters
language:en
Short-container-title:Internet Technology Letters

Author:

Ye Qianwen¹²^ORCID,Fan Xiaochen³,Fang Gengfa²,Bie Hongxia¹

Affiliation:

1. School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

2. School of Electrical and Data Engineering University of Technology Sydney Sydney New South Wales Australia

3. Consulting Center for Strategic Assessment Academy of Military Science Beijing China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.366

Reference7 articles.

1. A survey on wireless indoor localization from the device perspective;Xiao J;ACM Comput Surv (CSUR),2016

2. Indoor intelligent fingerprint‐based localization: principles, approaches and challenges;Zhu X;IEEE Commun Surv Tutorials,2020

3. Calibrating multi‐channel RSS observations for localization using Gaussian process;He Z;IEEE Wirel Commun Lett,2019

4. NLOS error mitigation in hybrid RSS‐TOA‐based localization through semi‐definite relaxation;Katwe M;IEEE Commun Lett,2020

5. Improve accuracy of fingerprinting localization with temporal correlation of the RSS;Tian X;IEEE Trans Mob Comput,2018

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1. Using fuzzy transforms for neural networks-based wireless localization in outdoor environments;Neural Computing and Applications;2024-08-10

2. Certificateless ring signature from NTRU lattice for electronic voting;Journal of Information Security and Applications;2023-06

3. Outlier Detection in Time-Series Receive Signal Strength Observation Using Z-Score Method with Sn Scale Estimator for Indoor Localization;Applied Sciences;2023-03-19

4. A Survey of the Performance-Limiting Factors of a 2-Dimensional RSS Fingerprinting-Based Indoor Wireless Localization System;Sensors;2023-02-24

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