标题:Implement and Optimization of Indoor Positioning System Based on Wi-Fi Signal
作者:Yu, Chongsheng; Li, Xin; Dou, Lei; Li, Jianwei; Zhang, Yu; Qin, Jian; Sun, Yuqing; Cao, Zhiyue
通讯作者:Li, Xin
作者机构:[Yu, Chongsheng; Li, Xin; Li, Jianwei; Zhang, Yu; Qin, Jian; Sun, Yuqing] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China.; [Do 更多
会议名称:16th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP)
会议日期:DEC 14-16, 2016
来源:ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2016
出版年:2016
卷:10048
页码:220-228
DOI:10.1007/978-3-319-49583-5_17
关键词:Indoor positioning; Wi-Fi signal; KNN
摘要:As wireless routers are used widely, indoor positioning technology based on Wi-Fi signal has drawn more attentions. The positioning process in our solution is divided into two phases: collection phase and positioning phase. In the collection phase, according to the fingerprint algorithm, data collectors (e.g. mobile phones) submit received Wi-Fi strength data at location-known points to the server. The collected locations and strength data will be saved in database. In the positioning phase, the server calculates positioning result according to the differences between Wi-Fi strength data stored in database and Wi-Fi strength data uploaded by mobile terminals request to be located. All the data are clustered using K-Means algorithm for increasing the positioning efficiency. K-Nearest-Neighbor (KNN) algorithm is performed in positioning phase. The result of experiment shows that the proposed approach can achieve high positioning accuracy with the use of filtered data and the weighted KNN algorithm.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007173788&doi=10.1007%2f978-3-319-49583-5_17&partnerID=40&md5=fdac672998704af531a20e96b6070613
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