Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks

Seung-Hwan JIN; Jae-Kark CHOI; Nan HAO; Sang-Jo YOO

doi:10.1587/transcom.E94.B.2634

Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks

Seung-Hwan JIN, Jae-Kark CHOI, Nan HAO, Sang-Jo YOO

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In the received signal strength-based ranging algorithms, distance is estimated from a path loss model, in which the path loss exponent is considered a key parameter. The conventional RSS-based algorithms generally assume that the path loss exponent is known a priori. However, this assumption is not acceptable in the real world because the channel condition depends on the current wireless environment. In this paper, we propose an accurate estimation method of the path loss exponent that results in minimizing distance estimation errors in varying environments. Each anchor node estimates the path loss exponent for its transmission coverage by the sequential rearrangement of the received signal strengths of all sensor nodes within its coverage. Simulation results show that the proposed method can accurately estimate the actual path loss exponent without any prior knowledge and provides low distance estimation error.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.9 pp.2634-2637

Publication Date: 2011/09/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.2634

Type of Manuscript: LETTER

Category: Network

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Seung-Hwan JIN, Jae-Kark CHOI, Nan HAO, Sang-Jo YOO, "Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 9, pp. 2634-2637, September 2011, doi: 10.1587/transcom.E94.B.2634.
Abstract: In the received signal strength-based ranging algorithms, distance is estimated from a path loss model, in which the path loss exponent is considered a key parameter. The conventional RSS-based algorithms generally assume that the path loss exponent is known a priori. However, this assumption is not acceptable in the real world because the channel condition depends on the current wireless environment. In this paper, we propose an accurate estimation method of the path loss exponent that results in minimizing distance estimation errors in varying environments. Each anchor node estimates the path loss exponent for its transmission coverage by the sequential rearrangement of the received signal strengths of all sensor nodes within its coverage. Simulation results show that the proposed method can accurately estimate the actual path loss exponent without any prior knowledge and provides low distance estimation error.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2634/_p

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@ARTICLE{e94-b_9_2634,
author={Seung-Hwan JIN, Jae-Kark CHOI, Nan HAO, Sang-Jo YOO, },
journal={IEICE TRANSACTIONS on Communications},
title={Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks},
year={2011},
volume={E94-B},
number={9},
pages={2634-2637},
abstract={In the received signal strength-based ranging algorithms, distance is estimated from a path loss model, in which the path loss exponent is considered a key parameter. The conventional RSS-based algorithms generally assume that the path loss exponent is known a priori. However, this assumption is not acceptable in the real world because the channel condition depends on the current wireless environment. In this paper, we propose an accurate estimation method of the path loss exponent that results in minimizing distance estimation errors in varying environments. Each anchor node estimates the path loss exponent for its transmission coverage by the sequential rearrangement of the received signal strengths of all sensor nodes within its coverage. Simulation results show that the proposed method can accurately estimate the actual path loss exponent without any prior knowledge and provides low distance estimation error.},
keywords={},
doi={10.1587/transcom.E94.B.2634},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - Distance Estimation by Sequential Rearrangement of Signal Strength in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2634
EP - 2637
AU - Seung-Hwan JIN
AU - Jae-Kark CHOI
AU - Nan HAO
AU - Sang-Jo YOO
PY - 2011
DO - 10.1587/transcom.E94.B.2634
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2011
AB - In the received signal strength-based ranging algorithms, distance is estimated from a path loss model, in which the path loss exponent is considered a key parameter. The conventional RSS-based algorithms generally assume that the path loss exponent is known a priori. However, this assumption is not acceptable in the real world because the channel condition depends on the current wireless environment. In this paper, we propose an accurate estimation method of the path loss exponent that results in minimizing distance estimation errors in varying environments. Each anchor node estimates the path loss exponent for its transmission coverage by the sequential rearrangement of the received signal strengths of all sensor nodes within its coverage. Simulation results show that the proposed method can accurately estimate the actual path loss exponent without any prior knowledge and provides low distance estimation error.
ER -