A Novel Centroid Localization for Wireless Sensor Networks

Self-localization of sensor nodes is one of the key issues in wireless sensor networks. Based on the analysis of traditional range-free algorithms such as centroid and APIT (approximate perfect point in triangulation test) schemes, the effect of random deployment of all nodes on node localization is...

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Main Authors: Yu Liu, Xiao Yi, You He
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2012-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2012/829253
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author Yu Liu
Xiao Yi
You He
author_facet Yu Liu
Xiao Yi
You He
author_sort Yu Liu
collection DOAJ
description Self-localization of sensor nodes is one of the key issues in wireless sensor networks. Based on the analysis of traditional range-free algorithms such as centroid and APIT (approximate perfect point in triangulation test) schemes, the effect of random deployment of all nodes on node localization is researched. And then, an improved centroid localization algorithm (ICLA) based on APIT and the quality of perpendicular bisector is proposed. In ICLA, nodes are categorized into several kinds and localized, respectively. Extensive simulation results indicate that ICLA obtains a better localization result in random topology networks without any additional hardware. Therefore, ICLA can be an alternate solution for the node self-localization problem in large-scale wireless sensor networks.
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spelling doaj.art-d789e35cd8f34be2aed983acee22bb0c2023-09-02T16:08:30ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772012-01-01810.1155/2012/829253A Novel Centroid Localization for Wireless Sensor NetworksYu LiuXiao YiYou HeSelf-localization of sensor nodes is one of the key issues in wireless sensor networks. Based on the analysis of traditional range-free algorithms such as centroid and APIT (approximate perfect point in triangulation test) schemes, the effect of random deployment of all nodes on node localization is researched. And then, an improved centroid localization algorithm (ICLA) based on APIT and the quality of perpendicular bisector is proposed. In ICLA, nodes are categorized into several kinds and localized, respectively. Extensive simulation results indicate that ICLA obtains a better localization result in random topology networks without any additional hardware. Therefore, ICLA can be an alternate solution for the node self-localization problem in large-scale wireless sensor networks.https://doi.org/10.1155/2012/829253
spellingShingle Yu Liu
Xiao Yi
You He
A Novel Centroid Localization for Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title A Novel Centroid Localization for Wireless Sensor Networks
title_full A Novel Centroid Localization for Wireless Sensor Networks
title_fullStr A Novel Centroid Localization for Wireless Sensor Networks
title_full_unstemmed A Novel Centroid Localization for Wireless Sensor Networks
title_short A Novel Centroid Localization for Wireless Sensor Networks
title_sort novel centroid localization for wireless sensor networks
url https://doi.org/10.1155/2012/829253
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