A Modification Strategy of Maximum Likelihood Method for Location Estimation Based on Received Signal Strength in Sensor Networks
Summary :
This paper investigates a scheme to improve a location estimation method for higher estimation accuracy in sensor networks. For the location estimation method, we focus on the maximum likelihood method based on the measurements of received signal strength and its known probability distribution. Using some statistical properties of the estimate obtained by the maximum likelihood method in a simplified situation, we propose a modification of likelihood function in order to improve the estimation accuracy for arbitrary situation. However, since the proposed scheme is derived under a special assumption for the simplification, we should examine the impact of the proposed scheme in more general situations by numerical simulation. From the simulation results, we show the effectiveness of the proposed modification especially in the cases of small number of samples (namely, the measurements of received signal strength) and the channel model with exponential distribution.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.5 pp.1093-1104
- Publication Date
- 2007/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.5.1093
- Type of Manuscript
- PAPER
- Category
- General Fundamentals and Boundaries
Authors
Keyword
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Jumpei TAKETSUGU, Jiro YAMAKITA, "A Modification Strategy of Maximum Likelihood Method for Location Estimation Based on Received Signal Strength in Sensor Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 5, pp. 1093-1104, May 2007, doi: 10.1093/ietfec/e90-a.5.1093.
Abstract: This paper investigates a scheme to improve a location estimation method for higher estimation accuracy in sensor networks. For the location estimation method, we focus on the maximum likelihood method based on the measurements of received signal strength and its known probability distribution. Using some statistical properties of the estimate obtained by the maximum likelihood method in a simplified situation, we propose a modification of likelihood function in order to improve the estimation accuracy for arbitrary situation. However, since the proposed scheme is derived under a special assumption for the simplification, we should examine the impact of the proposed scheme in more general situations by numerical simulation. From the simulation results, we show the effectiveness of the proposed modification especially in the cases of small number of samples (namely, the measurements of received signal strength) and the channel model with exponential distribution.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.5.1093/_p
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@ARTICLE{e90-a_5_1093,
author={Jumpei TAKETSUGU, Jiro YAMAKITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Modification Strategy of Maximum Likelihood Method for Location Estimation Based on Received Signal Strength in Sensor Networks},
year={2007},
volume={E90-A},
number={5},
pages={1093-1104},
abstract={This paper investigates a scheme to improve a location estimation method for higher estimation accuracy in sensor networks. For the location estimation method, we focus on the maximum likelihood method based on the measurements of received signal strength and its known probability distribution. Using some statistical properties of the estimate obtained by the maximum likelihood method in a simplified situation, we propose a modification of likelihood function in order to improve the estimation accuracy for arbitrary situation. However, since the proposed scheme is derived under a special assumption for the simplification, we should examine the impact of the proposed scheme in more general situations by numerical simulation. From the simulation results, we show the effectiveness of the proposed modification especially in the cases of small number of samples (namely, the measurements of received signal strength) and the channel model with exponential distribution.},
keywords={},
doi={10.1093/ietfec/e90-a.5.1093},
ISSN={1745-1337},
month={May},}
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TY - JOUR
TI - A Modification Strategy of Maximum Likelihood Method for Location Estimation Based on Received Signal Strength in Sensor Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1093
EP - 1104
AU - Jumpei TAKETSUGU
AU - Jiro YAMAKITA
PY - 2007
DO - 10.1093/ietfec/e90-a.5.1093
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2007
AB - This paper investigates a scheme to improve a location estimation method for higher estimation accuracy in sensor networks. For the location estimation method, we focus on the maximum likelihood method based on the measurements of received signal strength and its known probability distribution. Using some statistical properties of the estimate obtained by the maximum likelihood method in a simplified situation, we propose a modification of likelihood function in order to improve the estimation accuracy for arbitrary situation. However, since the proposed scheme is derived under a special assumption for the simplification, we should examine the impact of the proposed scheme in more general situations by numerical simulation. From the simulation results, we show the effectiveness of the proposed modification especially in the cases of small number of samples (namely, the measurements of received signal strength) and the channel model with exponential distribution.
ER -
English
