Abstract
| Translated title of the contribution | Indoor positioning method using RFID and block clustering |
|---|---|
| Original language | Chinese |
| Pages (from-to) | 112-117 |
| Number of pages | 6 |
| Journal | Computer Engineering and Applications |
| Volume | 52 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2016 |
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一种利用 RFID 和块聚类的快速室内指纹定位方法. / Zhang, Wenjie ; Dong, Yuning ; Wang, Xinheng.
In: Computer Engineering and Applications, Vol. 52, No. 10, 2016, p. 112-117.Research output: Contribution to journal › Article
TY - JOUR
T1 - 一种利用 RFID 和块聚类的快速室内指纹定位方法
AU - Zhang, Wenjie
AU - Dong, Yuning
AU - Wang, Xinheng
PY - 2016
Y1 - 2016
N2 - The indoor positioning technology based on fingerprint attracts the attentions from many researchers. RFID（RadioFrequency Identification） technology is more attractive, due to its high accuracy and adaptability to different environment. However, because of the heavy consumption of the computing power, it limits the applications in practice. A new hybrid Kmeans and Weighted K-nearest Neighbor method is proposed and applied in real-world indoor positioning. The new method divided the mapping area into several classes based on a clustering method. A matching into class is done first and then location is determined. The result shows that the proposed method reduces the accumulated errors and thus reduces the computational power whist maintains reasonable accuracy.
AB - The indoor positioning technology based on fingerprint attracts the attentions from many researchers. RFID（RadioFrequency Identification） technology is more attractive, due to its high accuracy and adaptability to different environment. However, because of the heavy consumption of the computing power, it limits the applications in practice. A new hybrid Kmeans and Weighted K-nearest Neighbor method is proposed and applied in real-world indoor positioning. The new method divided the mapping area into several classes based on a clustering method. A matching into class is done first and then location is determined. The result shows that the proposed method reduces the accumulated errors and thus reduces the computational power whist maintains reasonable accuracy.
U2 - 10.3778/j.issn.1002-8331.1407-0064
DO - 10.3778/j.issn.1002-8331.1407-0064
M3 - Article
VL - 52
SP - 112
EP - 117
JO - Computer Engineering and Applications
JF - Computer Engineering and Applications
SN - 1002-8331
IS - 10
ER -