3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization
A novel refinement algorithm based on LQI confidence for three-dimensional localization (3D-RABLC)was proposed.LQI confidence was obtained in terms of the relationships between RSSI and one hop distance,LQI and packet error rate(PER),which derived from experimental data.The measured RSSI was filtere...
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Format: | Article |
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Editorial Department of Journal on Communications
2012-07-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)07-0125-10/ |
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author | Jian SHU Lin-lan LIU Yu-bin CHEN Jia-jie GONG |
author_facet | Jian SHU Lin-lan LIU Yu-bin CHEN Jia-jie GONG |
author_sort | Jian SHU |
collection | DOAJ |
description | A novel refinement algorithm based on LQI confidence for three-dimensional localization (3D-RABLC)was proposed.LQI confidence was obtained in terms of the relationships between RSSI and one hop distance,LQI and packet error rate(PER),which derived from experimental data.The measured RSSI was filtered by LQI confidence.Moreover,the RSSI with lower confidence was modified by a three-dimensional multi-hop model or a compensating refinement method.The experiment results show that the algorithm reduces the RSSI range error,and improves the accuracy of three-dimensional localization significantly. |
format | Article |
id | doaj-art-29fbcd1e91cb414d92b4208129ac2886 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2012-07-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-29fbcd1e91cb414d92b4208129ac28862025-01-14T06:32:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-07-0133125134596636203D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localizationJian SHULin-lan LIUYu-bin CHENJia-jie GONGA novel refinement algorithm based on LQI confidence for three-dimensional localization (3D-RABLC)was proposed.LQI confidence was obtained in terms of the relationships between RSSI and one hop distance,LQI and packet error rate(PER),which derived from experimental data.The measured RSSI was filtered by LQI confidence.Moreover,the RSSI with lower confidence was modified by a three-dimensional multi-hop model or a compensating refinement method.The experiment results show that the algorithm reduces the RSSI range error,and improves the accuracy of three-dimensional localization significantly.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)07-0125-10/wireless sensor networkthree-dimensional localizationLQI confidenceRSSIlocation refinement |
spellingShingle | Jian SHU Lin-lan LIU Yu-bin CHEN Jia-jie GONG 3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization Tongxin xuebao wireless sensor network three-dimensional localization LQI confidence RSSI location refinement |
title | 3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization |
title_full | 3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization |
title_fullStr | 3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization |
title_full_unstemmed | 3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization |
title_short | 3D-RABLC:a novel refinement algorithm based on LQI confidence for three-dimensional localization |
title_sort | 3d rablc a novel refinement algorithm based on lqi confidence for three dimensional localization |
topic | wireless sensor network three-dimensional localization LQI confidence RSSI location refinement |
url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)07-0125-10/ |
work_keys_str_mv | AT jianshu 3drablcanovelrefinementalgorithmbasedonlqiconfidenceforthreedimensionallocalization AT linlanliu 3drablcanovelrefinementalgorithmbasedonlqiconfidenceforthreedimensionallocalization AT yubinchen 3drablcanovelrefinementalgorithmbasedonlqiconfidenceforthreedimensionallocalization AT jiajiegong 3drablcanovelrefinementalgorithmbasedonlqiconfidenceforthreedimensionallocalization |