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A Localization Method Based on Partial Correlation Analysis for Dynamic Wireless Network
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Summary :
Recent localization methods for wireless networks cannot be applied to dynamic networks with unknown topology. To solve this problem, we propose a localization method based on partial correlation analysis in this paper. We evaluate our proposed localization method in terms of accuracy, which shows that our proposed method can achieve high accuracy localization for dynamic networks with unknown topology.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.3 pp.594-597
- Publication Date
- 2022/03/01
- Publicized
- 2021/09/08
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2021EAL2038
- Type of Manuscript
- LETTER
- Category
- Nonlinear Problems
Authors
Yuki HORIGUCHI
Tokyo University of Science
Yusuke ITO
Tokyo University of Science
Aohan LI
Tokyo University of Science
Mikio HASEGAWA
Tokyo University of Science
Keyword
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Yuki HORIGUCHI, Yusuke ITO, Aohan LI, Mikio HASEGAWA, "A Localization Method Based on Partial Correlation Analysis for Dynamic Wireless Network" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 3, pp. 594-597, March 2022, doi: 10.1587/transfun.2021EAL2038.
Abstract: Recent localization methods for wireless networks cannot be applied to dynamic networks with unknown topology. To solve this problem, we propose a localization method based on partial correlation analysis in this paper. We evaluate our proposed localization method in terms of accuracy, which shows that our proposed method can achieve high accuracy localization for dynamic networks with unknown topology.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2038/_p
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@ARTICLE{e105-a_3_594,
author={Yuki HORIGUCHI, Yusuke ITO, Aohan LI, Mikio HASEGAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Localization Method Based on Partial Correlation Analysis for Dynamic Wireless Network},
year={2022},
volume={E105-A},
number={3},
pages={594-597},
abstract={Recent localization methods for wireless networks cannot be applied to dynamic networks with unknown topology. To solve this problem, we propose a localization method based on partial correlation analysis in this paper. We evaluate our proposed localization method in terms of accuracy, which shows that our proposed method can achieve high accuracy localization for dynamic networks with unknown topology.},
keywords={},
doi={10.1587/transfun.2021EAL2038},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - A Localization Method Based on Partial Correlation Analysis for Dynamic Wireless Network
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 594
EP - 597
AU - Yuki HORIGUCHI
AU - Yusuke ITO
AU - Aohan LI
AU - Mikio HASEGAWA
PY - 2022
DO - 10.1587/transfun.2021EAL2038
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2022
AB - Recent localization methods for wireless networks cannot be applied to dynamic networks with unknown topology. To solve this problem, we propose a localization method based on partial correlation analysis in this paper. We evaluate our proposed localization method in terms of accuracy, which shows that our proposed method can achieve high accuracy localization for dynamic networks with unknown topology.
ER -
English
