A Lightweight Localization Solution for Small, Low Resources WSNs

The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating und...

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Main Authors: Hong Xiong, Mihail L. Sichitiu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/8/2/26
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spelling doaj-076b58e0066b4c38a870353dadd07a862020-11-25T01:23:18ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082019-05-01822610.3390/jsan8020026jsan8020026A Lightweight Localization Solution for Small, Low Resources WSNsHong Xiong0Mihail L. Sichitiu1Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, USADepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, USAThe increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating under stringent constraints in computation, communication, and energy resources. This paper offers a novel solution to bridge the gap between the high accuracy demand and low resources available for range-based localization. We propose KickLoc, a fully distributed scheme, which considers the uncertainty of the distance measurements to minimize localization errors introduced from the range measurement, and leverages information from all neighboring nodes for better position estimations. Our work is evaluated via extensive simulations, with comparisons to other well-known localization schemes, and the Cramér-Rao lower bound (CRLB). In addition, we implement and evaluate the proposed system on sensor platforms with different range measurement mechanisms. The results show that this localization solution outperforms existing methods in various scenarios, while remains lightweight and suitable for small, low resources WSNs.https://www.mdpi.com/2224-2708/8/2/26wireless sensor networkradio signal strength (RSS)cooperative localizationinformation fusion
collection DOAJ
language English
format Article
sources DOAJ
author Hong Xiong
Mihail L. Sichitiu
spellingShingle Hong Xiong
Mihail L. Sichitiu
A Lightweight Localization Solution for Small, Low Resources WSNs
Journal of Sensor and Actuator Networks
wireless sensor network
radio signal strength (RSS)
cooperative localization
information fusion
author_facet Hong Xiong
Mihail L. Sichitiu
author_sort Hong Xiong
title A Lightweight Localization Solution for Small, Low Resources WSNs
title_short A Lightweight Localization Solution for Small, Low Resources WSNs
title_full A Lightweight Localization Solution for Small, Low Resources WSNs
title_fullStr A Lightweight Localization Solution for Small, Low Resources WSNs
title_full_unstemmed A Lightweight Localization Solution for Small, Low Resources WSNs
title_sort lightweight localization solution for small, low resources wsns
publisher MDPI AG
series Journal of Sensor and Actuator Networks
issn 2224-2708
publishDate 2019-05-01
description The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating under stringent constraints in computation, communication, and energy resources. This paper offers a novel solution to bridge the gap between the high accuracy demand and low resources available for range-based localization. We propose KickLoc, a fully distributed scheme, which considers the uncertainty of the distance measurements to minimize localization errors introduced from the range measurement, and leverages information from all neighboring nodes for better position estimations. Our work is evaluated via extensive simulations, with comparisons to other well-known localization schemes, and the Cramér-Rao lower bound (CRLB). In addition, we implement and evaluate the proposed system on sensor platforms with different range measurement mechanisms. The results show that this localization solution outperforms existing methods in various scenarios, while remains lightweight and suitable for small, low resources WSNs.
topic wireless sensor network
radio signal strength (RSS)
cooperative localization
information fusion
url https://www.mdpi.com/2224-2708/8/2/26
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AT mihaillsichitiu alightweightlocalizationsolutionforsmalllowresourceswsns
AT hongxiong lightweightlocalizationsolutionforsmalllowresourceswsns
AT mihaillsichitiu lightweightlocalizationsolutionforsmalllowresourceswsns
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