Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent

Wireless sensor network is a key enabling technology for Ambient Intelligence, where location information is crucial for many applications. RSS-based ranging localization takes advantage of its low cost and low complexity, but it has an infeasible assumption of an accurate path loss exponent of the...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhang, Qing, Foh, Chuan Heng, Seet, Boon-Chong, Fong, A. C. M.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/105643
http://hdl.handle.net/10220/17924
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-105643
record_format dspace
spelling sg-ntu-dr.10356-1056432020-05-28T07:41:40Z Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent Zhang, Qing Foh, Chuan Heng Seet, Boon-Chong Fong, A. C. M. School of Computer Engineering DRNTU::Engineering::Computer science and engineering Wireless sensor network is a key enabling technology for Ambient Intelligence, where location information is crucial for many applications. RSS-based ranging localization takes advantage of its low cost and low complexity, but it has an infeasible assumption of an accurate path loss exponent of the physical environment. In this paper, we study the impact of path loss exponent accuracy on the localization accuracy. We formulate the relationship between the path loss exponent estimate and localization error, and found the localization error of exponential order which we call the error magnification effect. By our in-depth investigation, we propose a passive and an active measures to suppress the error magnification effect, where the passive measure stabilizes the localization error of the spring-relaxation algorithm (SR), and the active measure introduces variable elasticity into the SR algorithm to cancel off the exponential ranging error. The combination of both measures forms our localization solution called variable elasticity spring-relaxation (VE-SR) localization. We conduct extensive simulation experiments to show the effectiveness of VE-SR in suppressing the error magnification effect in various experiment setup. For a wide variety of physical environments, VE-SR offers location estimation with an average accuracy of no more than 10% of transmission range. 2013-11-29T06:12:05Z 2019-12-06T21:55:11Z 2013-11-29T06:12:05Z 2019-12-06T21:55:11Z 2012 2012 Journal Article Zhang, Q., Foh, C. H., Seet, B. -C., & Fong, A. C. M. (2012). Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent. Personal and ubiquitous computing, 16(7), 929-941. https://hdl.handle.net/10356/105643 http://hdl.handle.net/10220/17924 10.1007/s00779-011-0449-2 en Personal and ubiquitous computing
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Zhang, Qing
Foh, Chuan Heng
Seet, Boon-Chong
Fong, A. C. M.
Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent
description Wireless sensor network is a key enabling technology for Ambient Intelligence, where location information is crucial for many applications. RSS-based ranging localization takes advantage of its low cost and low complexity, but it has an infeasible assumption of an accurate path loss exponent of the physical environment. In this paper, we study the impact of path loss exponent accuracy on the localization accuracy. We formulate the relationship between the path loss exponent estimate and localization error, and found the localization error of exponential order which we call the error magnification effect. By our in-depth investigation, we propose a passive and an active measures to suppress the error magnification effect, where the passive measure stabilizes the localization error of the spring-relaxation algorithm (SR), and the active measure introduces variable elasticity into the SR algorithm to cancel off the exponential ranging error. The combination of both measures forms our localization solution called variable elasticity spring-relaxation (VE-SR) localization. We conduct extensive simulation experiments to show the effectiveness of VE-SR in suppressing the error magnification effect in various experiment setup. For a wide variety of physical environments, VE-SR offers location estimation with an average accuracy of no more than 10% of transmission range.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Zhang, Qing
Foh, Chuan Heng
Seet, Boon-Chong
Fong, A. C. M.
format Article
author Zhang, Qing
Foh, Chuan Heng
Seet, Boon-Chong
Fong, A. C. M.
author_sort Zhang, Qing
title Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent
title_short Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent
title_full Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent
title_fullStr Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent
title_full_unstemmed Variable elasticity spring-relaxation: improving the accuracy of localization for WSNs with unknown path loss exponent
title_sort variable elasticity spring-relaxation: improving the accuracy of localization for wsns with unknown path loss exponent
publishDate 2013
url https://hdl.handle.net/10356/105643
http://hdl.handle.net/10220/17924
_version_ 1681056108472434688