IEICE TRANSACTIONS on Communications
An Efficient RSS-Based Localization Scheme with Calibration in Wireless Sensor Networks
Summary :
In wireless sensor networks (WSNs), localization using the received signal strength (RSS) method is famous for easy adaptation and low cost where measuring the distance between sensor nodes. However, in real localization systems, the RSS is strongly affected by many surrounding factors and tends to be unstable, so that it degrades accuracy in distance measurement. In this paper, we propose the angle-referred calibration based RSS method where angle relation between sensor nodes is used to perform the calibration for better performance in distance measurement. As a result, the proposed scheme shows that it can provide high precision.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.12 pp.4013-4016
- Publication Date
- 2008/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.12.4013
- Type of Manuscript
- LETTER
- Category
- Network
Authors
Keyword
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Cong TRAN-XUAN, Eunchan KIM, Insoo KOO, "An Efficient RSS-Based Localization Scheme with Calibration in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 12, pp. 4013-4016, December 2008, doi: 10.1093/ietcom/e91-b.12.4013.
Abstract: In wireless sensor networks (WSNs), localization using the received signal strength (RSS) method is famous for easy adaptation and low cost where measuring the distance between sensor nodes. However, in real localization systems, the RSS is strongly affected by many surrounding factors and tends to be unstable, so that it degrades accuracy in distance measurement. In this paper, we propose the angle-referred calibration based RSS method where angle relation between sensor nodes is used to perform the calibration for better performance in distance measurement. As a result, the proposed scheme shows that it can provide high precision.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.12.4013/_p
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@ARTICLE{e91-b_12_4013,
author={Cong TRAN-XUAN, Eunchan KIM, Insoo KOO, },
journal={IEICE TRANSACTIONS on Communications},
title={An Efficient RSS-Based Localization Scheme with Calibration in Wireless Sensor Networks},
year={2008},
volume={E91-B},
number={12},
pages={4013-4016},
abstract={In wireless sensor networks (WSNs), localization using the received signal strength (RSS) method is famous for easy adaptation and low cost where measuring the distance between sensor nodes. However, in real localization systems, the RSS is strongly affected by many surrounding factors and tends to be unstable, so that it degrades accuracy in distance measurement. In this paper, we propose the angle-referred calibration based RSS method where angle relation between sensor nodes is used to perform the calibration for better performance in distance measurement. As a result, the proposed scheme shows that it can provide high precision.},
keywords={},
doi={10.1093/ietcom/e91-b.12.4013},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - An Efficient RSS-Based Localization Scheme with Calibration in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 4013
EP - 4016
AU - Cong TRAN-XUAN
AU - Eunchan KIM
AU - Insoo KOO
PY - 2008
DO - 10.1093/ietcom/e91-b.12.4013
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2008
AB - In wireless sensor networks (WSNs), localization using the received signal strength (RSS) method is famous for easy adaptation and low cost where measuring the distance between sensor nodes. However, in real localization systems, the RSS is strongly affected by many surrounding factors and tends to be unstable, so that it degrades accuracy in distance measurement. In this paper, we propose the angle-referred calibration based RSS method where angle relation between sensor nodes is used to perform the calibration for better performance in distance measurement. As a result, the proposed scheme shows that it can provide high precision.
ER -
English
