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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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 |
work_keys_str_mv |
AT hongxiong alightweightlocalizationsolutionforsmalllowresourceswsns AT mihaillsichitiu alightweightlocalizationsolutionforsmalllowresourceswsns AT hongxiong lightweightlocalizationsolutionforsmalllowresourceswsns AT mihaillsichitiu lightweightlocalizationsolutionforsmalllowresourceswsns |
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1725123176355069952 |