Localization with Ratio-Distance (LRD) for Distributed and Accurate Localization in Wireless Sensor Networks

Kouakou Jean Marc ATTOUNGBLE; Kazunori OKADA

doi:10.1587/transcom.E94.B.1944

Localization with Ratio-Distance (LRD) for Distributed and Accurate Localization in Wireless Sensor Networks

Kouakou Jean Marc ATTOUNGBLE, Kazunori OKADA

Full Text Views

0

Share
Cite this

Summary :

These days, cheap and intelligent sensors, networked through wireless links and deployed in large numbers, provide unprecedented opportunities for monitoring and controlling homes, cities and the environment. Networked sensors also offer a broad range of applications. Localization capability is essential in most wireless sensor networks applications; for instance in environmental monitoring applications such as animal habitat monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are meaningless without accurate knowledge of where they are obtained. Localization techniques are used to determine location information by estimating the location of each sensor node. Distance measurement errors are commonly known to affect the accuracy of the estimated location; resulting in errors that may be due to inherent or environmental factors. Trilateration [1] is a well-known method for localizing nodes by using the distances to three anchor nodes; yet it performs poorly when they are many distance measurement errors. Therefore, we propose the LRD (Localization with Ratio-Distance) algorithm, which performs strongly even in the presence of many measurement errors associated with the estimated distance to anchor nodes. Simulations using the OPNET Modeler show that LRD is more accurate than trilateration.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.7 pp.1944-1951

Publication Date: 2011/07/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.1944

Type of Manuscript: PAPER

Category: Network

Cite this

Copy

Kouakou Jean Marc ATTOUNGBLE, Kazunori OKADA, "Localization with Ratio-Distance (LRD) for Distributed and Accurate Localization in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 7, pp. 1944-1951, July 2011, doi: 10.1587/transcom.E94.B.1944.
Abstract: These days, cheap and intelligent sensors, networked through wireless links and deployed in large numbers, provide unprecedented opportunities for monitoring and controlling homes, cities and the environment. Networked sensors also offer a broad range of applications. Localization capability is essential in most wireless sensor networks applications; for instance in environmental monitoring applications such as animal habitat monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are meaningless without accurate knowledge of where they are obtained. Localization techniques are used to determine location information by estimating the location of each sensor node. Distance measurement errors are commonly known to affect the accuracy of the estimated location; resulting in errors that may be due to inherent or environmental factors. Trilateration [1] is a well-known method for localizing nodes by using the distances to three anchor nodes; yet it performs poorly when they are many distance measurement errors. Therefore, we propose the LRD (Localization with Ratio-Distance) algorithm, which performs strongly even in the presence of many measurement errors associated with the estimated distance to anchor nodes. Simulations using the OPNET Modeler show that LRD is more accurate than trilateration.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1944/_p

Copy

@ARTICLE{e94-b_7_1944,
author={Kouakou Jean Marc ATTOUNGBLE, Kazunori OKADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Localization with Ratio-Distance (LRD) for Distributed and Accurate Localization in Wireless Sensor Networks},
year={2011},
volume={E94-B},
number={7},
pages={1944-1951},
abstract={These days, cheap and intelligent sensors, networked through wireless links and deployed in large numbers, provide unprecedented opportunities for monitoring and controlling homes, cities and the environment. Networked sensors also offer a broad range of applications. Localization capability is essential in most wireless sensor networks applications; for instance in environmental monitoring applications such as animal habitat monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are meaningless without accurate knowledge of where they are obtained. Localization techniques are used to determine location information by estimating the location of each sensor node. Distance measurement errors are commonly known to affect the accuracy of the estimated location; resulting in errors that may be due to inherent or environmental factors. Trilateration [1] is a well-known method for localizing nodes by using the distances to three anchor nodes; yet it performs poorly when they are many distance measurement errors. Therefore, we propose the LRD (Localization with Ratio-Distance) algorithm, which performs strongly even in the presence of many measurement errors associated with the estimated distance to anchor nodes. Simulations using the OPNET Modeler show that LRD is more accurate than trilateration.},
keywords={},
doi={10.1587/transcom.E94.B.1944},
ISSN={1745-1345},
month={July},}

Copy

TY - JOUR
TI - Localization with Ratio-Distance (LRD) for Distributed and Accurate Localization in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1944
EP - 1951
AU - Kouakou Jean Marc ATTOUNGBLE
AU - Kazunori OKADA
PY - 2011
DO - 10.1587/transcom.E94.B.1944
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2011
AB - These days, cheap and intelligent sensors, networked through wireless links and deployed in large numbers, provide unprecedented opportunities for monitoring and controlling homes, cities and the environment. Networked sensors also offer a broad range of applications. Localization capability is essential in most wireless sensor networks applications; for instance in environmental monitoring applications such as animal habitat monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are meaningless without accurate knowledge of where they are obtained. Localization techniques are used to determine location information by estimating the location of each sensor node. Distance measurement errors are commonly known to affect the accuracy of the estimated location; resulting in errors that may be due to inherent or environmental factors. Trilateration [1] is a well-known method for localizing nodes by using the distances to three anchor nodes; yet it performs poorly when they are many distance measurement errors. Therefore, we propose the LRD (Localization with Ratio-Distance) algorithm, which performs strongly even in the presence of many measurement errors associated with the estimated distance to anchor nodes. Simulations using the OPNET Modeler show that LRD is more accurate than trilateration.
ER -