Study on accuracy of localization algorithms for wireless sensor networks

The WSNs have been widely used in applications such as monitoring various environment conditions, due to its outstanding withstanding ability. Most of these applications required the localization information of sensor nodes. There are already many researches done on the localization algorithms for W...

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Main Author: Qian, Yue
Other Authors: Li Xuejun
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45882
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-458822023-07-07T16:09:23Z Study on accuracy of localization algorithms for wireless sensor networks Qian, Yue Li Xuejun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems The WSNs have been widely used in applications such as monitoring various environment conditions, due to its outstanding withstanding ability. Most of these applications required the localization information of sensor nodes. There are already many researches done on the localization algorithms for WSNs. This report focuses on studying these algorithms and simulates the selected APIT, MCL and MSL localization algorithms to draw graphs of the estimated error result versus anchor number are generated for analyzing on the lower bound. Through the project, Matlab and Microsoft Excel were used to conduct data analysis. C++ and Java were used to simulate localization algorithms. Simulation results showed that APIT requires a higher anchor density and MSL had a much higher accuracy than MCL. The overall lower bound is around two units for all the simulations. It lays foundation for future research to extend the analysis by exploring more algorithms and complex cases. Bachelor of Engineering 2011-06-23T00:57:20Z 2011-06-23T00:57:20Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45882 en Nanyang Technological University 90 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Qian, Yue
Study on accuracy of localization algorithms for wireless sensor networks
description The WSNs have been widely used in applications such as monitoring various environment conditions, due to its outstanding withstanding ability. Most of these applications required the localization information of sensor nodes. There are already many researches done on the localization algorithms for WSNs. This report focuses on studying these algorithms and simulates the selected APIT, MCL and MSL localization algorithms to draw graphs of the estimated error result versus anchor number are generated for analyzing on the lower bound. Through the project, Matlab and Microsoft Excel were used to conduct data analysis. C++ and Java were used to simulate localization algorithms. Simulation results showed that APIT requires a higher anchor density and MSL had a much higher accuracy than MCL. The overall lower bound is around two units for all the simulations. It lays foundation for future research to extend the analysis by exploring more algorithms and complex cases.
author2 Li Xuejun
author_facet Li Xuejun
Qian, Yue
format Final Year Project
author Qian, Yue
author_sort Qian, Yue
title Study on accuracy of localization algorithms for wireless sensor networks
title_short Study on accuracy of localization algorithms for wireless sensor networks
title_full Study on accuracy of localization algorithms for wireless sensor networks
title_fullStr Study on accuracy of localization algorithms for wireless sensor networks
title_full_unstemmed Study on accuracy of localization algorithms for wireless sensor networks
title_sort study on accuracy of localization algorithms for wireless sensor networks
publishDate 2011
url http://hdl.handle.net/10356/45882
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