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[SCI]Radius based domain clustering for WiFi indoor positioning

时间:2017-04-01 来源:未知 点击:
Radius based domain clustering for WiFi indoor positioning

作者:Zhang, W (Zhang, Wei)1 ] Hua, XH (Hua, Xianghong)1 ] Yu, KG (Yu, Kegen)1 ] Qiu, WN (Qiu, Weining)1 ] Chang, X (Chang, Xin)1 ] Wu, B (Wu, Bang)1 ] Chen, XJ (Chen, Xijiang)1,2,3 ]

SENSOR REVIEW

 

卷: 37

 

期: 1

 

页: 54-60

DOI: 10.1108/SR-06-2016-0102

出版年: 2017


摘要

Purpose - Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further improve the performance of WiFi indoor positioning based on RSS, this paper aims to propose a novel position estimation strategy which is called radius-based domain clustering (RDC). This domain clustering technology aims to avoid the issue of access point (AP) selection. 

Design/methodology/approach - The proposed positioning approach uses each individual AP of all available APs to estimate the position of target point. Then, according to circular error probable, the authors search the decision domain which has the 50 per cent of the intermediate position estimates and minimize the radius of a circle via a RDC algorithm. The final estimate of the position of target point is obtained by averaging intermediate position estimates in the decision domain. 

Findings - Experiments are conducted, and comparison between the different position estimation strategies demonstrates that the new method has a better location estimation accuracy and reliability. 

Research limitations/implications - Weighted k nearest neighbor approach and Naive Bayes Classifier method are two classic position estimation strategies for location determination using WiFi fingerprinting. Both of the two strategies are affected by AP selection strategies and inappropriate selection of APs may degrade positioning performance considerably. 

Practical implications - The RDC positioning approach can improve the performance of WiFi indoor positioning, and the issue of AP selection and related drawbacks is avoided. 

Social implications - The RSS-based effective WiFi indoor positioning system can makes up for the indoor positioning weaknesses of global navigation satellite system. Many indoor location-based services can be encouraged with the effective and low-cost positioning technology. 

Originality/value - A novel position estimation strategy is introduced to avoid the AP selection problem in RSS-based WiFi indoor positioning technology, and the domain clustering technology is proposed to obtain a better accuracy and reliability.

基金资助致谢
基金资助机构 授权号
National Natural Science Foundation of China 
41374011 
41501502 
41674005 
Jiangxi Province Key Lab for Digital Land 
DLLJ201605 
CRSRI Open Research Program 
CKWV2015230/KY 
Key Laboratory for Digital Land and Resources of Jiangxi Province 
DLLJ201601 
出版商

EMERALD GROUP PUBLISHING LTD, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

类别 / 分类

研究方向:Instruments & Instrumentation

Web of Science 类别:Instruments & Instrumentation

文献信息

文献类型:Article

语种:English

入藏号: WOS:000395709000007

ISSN: 0260-2288

eISSN: 1758-6828

期刊信息

Impact Factor (影响因子): 0.898