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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Main Authors: Mu ZHOU, Qiao-lin PU, Zeng-shan TIAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-11-01
Series:Tongxin xuebao
Subjects:
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