ZigBee Environment for Indoor Localization

被引：0
|
作者：
Chieh, Kuek Ser [1 ]
Keong, Ng Yew [1 ]
Burhan, Muhamad Fadli [1 ]
Balasubramaniam, Nagaletchumi [1 ]
Din, Norashidah Md. [1 ]
机构：
[1] Univ Tenaga Nas, Jalan IKRAH UNITEN, Coll Engn, Ctr Commun Serv Convergence Technol, Kajang 43009, Selangor, Malaysia
来源：
2014 4TH INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGY AND TECHNOPRENEURSHIP (ICE2T) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Indoor localization system has become popular and widely deployed in ftracking the position and movement of objects and humans within an enclosed structure. This work proposes development of indoor localization system using ZigBee. K-Nearest Neighbor algorithm is adapted to predict the location of a user in an indoor environment. The accuracy of the indoor location sensing is investigated. Emphasis is placed on RSS sample vector fluctuation correction to further increase the prediction accuracy.
引用
收藏
页码：152 / 155
页数：4
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