SL-n iterative localization algorithm in wireless sensor networks

To compensate for the lackness of robustness caused by MMSE(minimum mean square estimation) in overall situation in wireless sensor network iterative multilateration algorithm,a new estimation algorithm called SL-n were proposed.Firstly all samples were obtained using trilateration or partial MMSE f...

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Main Authors: LUO Xu, CHAI Li, YANG Jun
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74418520/
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author LUO Xu
CHAI Li
YANG Jun
author_facet LUO Xu
CHAI Li
YANG Jun
author_sort LUO Xu
collection DOAJ
description To compensate for the lackness of robustness caused by MMSE(minimum mean square estimation) in overall situation in wireless sensor network iterative multilateration algorithm,a new estimation algorithm called SL-n were proposed.Firstly all samples were obtained using trilateration or partial MMSE from every combination of n reference nodes which belonged to some blind node,then the location of the blind node were estimated.Simulation experiments show that the proposed SL-n algorithm outperforms MMSE method in overall situation and can reduce the position error sufficiently when the reference error is large.
format Article
id doaj-art-cacd007da4004ceca53d11e830aa4b51
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-cacd007da4004ceca53d11e830aa4b512025-01-14T08:23:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013212913874418520SL-n iterative localization algorithm in wireless sensor networksLUO XuCHAI LiYANG JunTo compensate for the lackness of robustness caused by MMSE(minimum mean square estimation) in overall situation in wireless sensor network iterative multilateration algorithm,a new estimation algorithm called SL-n were proposed.Firstly all samples were obtained using trilateration or partial MMSE from every combination of n reference nodes which belonged to some blind node,then the location of the blind node were estimated.Simulation experiments show that the proposed SL-n algorithm outperforms MMSE method in overall situation and can reduce the position error sufficiently when the reference error is large.http://www.joconline.com.cn/zh/article/74418520/wireless sensor networksiterative multilaterationSL-nreference nodes
spellingShingle LUO Xu
CHAI Li
YANG Jun
SL-n iterative localization algorithm in wireless sensor networks
Tongxin xuebao
wireless sensor networks
iterative multilateration
SL-n
reference nodes
title SL-n iterative localization algorithm in wireless sensor networks
title_full SL-n iterative localization algorithm in wireless sensor networks
title_fullStr SL-n iterative localization algorithm in wireless sensor networks
title_full_unstemmed SL-n iterative localization algorithm in wireless sensor networks
title_short SL-n iterative localization algorithm in wireless sensor networks
title_sort sl n iterative localization algorithm in wireless sensor networks
topic wireless sensor networks
iterative multilateration
SL-n
reference nodes
url http://www.joconline.com.cn/zh/article/74418520/
work_keys_str_mv AT luoxu slniterativelocalizationalgorithminwirelesssensornetworks
AT chaili slniterativelocalizationalgorithminwirelesssensornetworks
AT yangjun slniterativelocalizationalgorithminwirelesssensornetworks