Location fingerprint optimization based access point deployment in indoor WLAN localization
A novel access point (AP) deployment approach by optimizing the location fingerprints in indoor WLAN localization was proposed.Firstly,constructing the water-filling optimization model based on the maximum of the Euclidean distance of RSS between every two location fingerprints.Secoudly,after the pr...
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Language: | zho |
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Editorial Department of Journal on Communications
2015-11-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015279/ |
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author | Mu ZHOU Qiao-lin PU Zeng-shan TIAN |
author_facet | Mu ZHOU Qiao-lin PU Zeng-shan TIAN |
author_sort | Mu ZHOU |
collection | DOAJ |
description | A novel access point (AP) deployment approach by optimizing the location fingerprints in indoor WLAN localization was proposed.Firstly,constructing the water-filling optimization model based on the maximum of the Euclidean distance of RSS between every two location fingerprints.Secoudly,after the process of the iterative cross-zero adjustment and discrete adjustment,the nonnegative and discrete weights of candidate AP locations were obtained.Finally,by using the criterion of maximum average weight,the APs,and consequently optimize the location fingerprints were deployed rationally.The experimental results demonstrate that the proposed approach is able to achieve high location fingerprint based localization precision,as well as consume low time overhead involved in the optimal AP location searching. |
format | Article |
id | doaj-art-43555d7471d84f84ad46f3e91168d600 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2015-11-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-43555d7471d84f84ad46f3e91168d6002025-01-14T06:54:15ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-11-0136304159697449Location fingerprint optimization based access point deployment in indoor WLAN localizationMu ZHOUQiao-lin PUZeng-shan TIANA novel access point (AP) deployment approach by optimizing the location fingerprints in indoor WLAN localization was proposed.Firstly,constructing the water-filling optimization model based on the maximum of the Euclidean distance of RSS between every two location fingerprints.Secoudly,after the process of the iterative cross-zero adjustment and discrete adjustment,the nonnegative and discrete weights of candidate AP locations were obtained.Finally,by using the criterion of maximum average weight,the APs,and consequently optimize the location fingerprints were deployed rationally.The experimental results demonstrate that the proposed approach is able to achieve high location fingerprint based localization precision,as well as consume low time overhead involved in the optimal AP location searching.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015279/WLANindoor localizationAP optimizationlocation fingerprint optimizationwater-filling model |
spellingShingle | Mu ZHOU Qiao-lin PU Zeng-shan TIAN Location fingerprint optimization based access point deployment in indoor WLAN localization Tongxin xuebao WLAN indoor localization AP optimization location fingerprint optimization water-filling model |
title | Location fingerprint optimization based access point deployment in indoor WLAN localization |
title_full | Location fingerprint optimization based access point deployment in indoor WLAN localization |
title_fullStr | Location fingerprint optimization based access point deployment in indoor WLAN localization |
title_full_unstemmed | Location fingerprint optimization based access point deployment in indoor WLAN localization |
title_short | Location fingerprint optimization based access point deployment in indoor WLAN localization |
title_sort | location fingerprint optimization based access point deployment in indoor wlan localization |
topic | WLAN indoor localization AP optimization location fingerprint optimization water-filling model |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015279/ |
work_keys_str_mv | AT muzhou locationfingerprintoptimizationbasedaccesspointdeploymentinindoorwlanlocalization AT qiaolinpu locationfingerprintoptimizationbasedaccesspointdeploymentinindoorwlanlocalization AT zengshantian locationfingerprintoptimizationbasedaccesspointdeploymentinindoorwlanlocalization |