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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Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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Series: | Tongxin xuebao |
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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 |