RANSAC based robust localization algorithm for visual sensor network

Due to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was proposed,which can remove the error data and imp...

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Main Authors: Bo ZHANG, Hai-yong LUO, Ji-wei LIU, Fang ZHAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.008/
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author Bo ZHANG
Hai-yong LUO
Ji-wei LIU
Fang ZHAO
author_facet Bo ZHANG
Hai-yong LUO
Ji-wei LIU
Fang ZHAO
author_sort Bo ZHANG
collection DOAJ
description Due to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was proposed,which can remove the error data and improve the positioning accuracy.Furthermore,to address this issue,energy imbalance of network nodes in centralized RANSAC where all computing load is executed in one single node,a robust localization algorithm based on distributed RANSAC was also proposed,which can distribute a large number of iterative calculations into each node averagely to ensure the network balance on calculation and energy without affecting the robustness.Finally,through comparing experiments on no-RANSAC,cen-RANSAC and dis-RANSAC,it’s verified that this algorithm can obtain robust and good positioning results in a predetermined probability,and the time complexity was analyzed via experiment.
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institution Kabale University
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language zho
publishDate 2013-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-aa9dd5daca6245b595f04e64ccf21f1a2025-01-14T06:41:02ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-08-0134626959674097RANSAC based robust localization algorithm for visual sensor networkBo ZHANGHai-yong LUOJi-wei LIUFang ZHAODue to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was proposed,which can remove the error data and improve the positioning accuracy.Furthermore,to address this issue,energy imbalance of network nodes in centralized RANSAC where all computing load is executed in one single node,a robust localization algorithm based on distributed RANSAC was also proposed,which can distribute a large number of iterative calculations into each node averagely to ensure the network balance on calculation and energy without affecting the robustness.Finally,through comparing experiments on no-RANSAC,cen-RANSAC and dis-RANSAC,it’s verified that this algorithm can obtain robust and good positioning results in a predetermined probability,and the time complexity was analyzed via experiment.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.008/visual sensor networktarget localizationrobust localizationRANSAC
spellingShingle Bo ZHANG
Hai-yong LUO
Ji-wei LIU
Fang ZHAO
RANSAC based robust localization algorithm for visual sensor network
Tongxin xuebao
visual sensor network
target localization
robust localization
RANSAC
title RANSAC based robust localization algorithm for visual sensor network
title_full RANSAC based robust localization algorithm for visual sensor network
title_fullStr RANSAC based robust localization algorithm for visual sensor network
title_full_unstemmed RANSAC based robust localization algorithm for visual sensor network
title_short RANSAC based robust localization algorithm for visual sensor network
title_sort ransac based robust localization algorithm for visual sensor network
topic visual sensor network
target localization
robust localization
RANSAC
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.008/
work_keys_str_mv AT bozhang ransacbasedrobustlocalizationalgorithmforvisualsensornetwork
AT haiyongluo ransacbasedrobustlocalizationalgorithmforvisualsensornetwork
AT jiweiliu ransacbasedrobustlocalizationalgorithmforvisualsensornetwork
AT fangzhao ransacbasedrobustlocalizationalgorithmforvisualsensornetwork