An Adaptive Weighted KNN Positioning Method Based on Omnidirectional Fingerprint Database and Twice Affinity Propagation Clustering

An Adaptive Weighted KNN Positioning Method Based on Omnidirectional Fingerprint Database and Twice Affinity Propagation Clustering

The human body has a great influence on Wi-Fi signal power. A fixed K value leads to localization errors for the K-nearest neighbor (KNN) algorithm. To address these problems, we present an adaptive weighted KNN positioning method based on an omnidirectional fingerprint database (ODFD) and twice aff...

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Bibliographic Details
Main Authors: Jingxue Bi, Yunjia Wang, Xin Li, Hongxia Qi, Hongji Cao, Shenglei Xu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
indoor positioning
adaptive weighted algorithm
K-nearest neighbor
omnidirectional fingerprint database
affinity propagation clustering
Online Access:http://www.mdpi.com/1424-8220/18/8/2502

Internet

http://www.mdpi.com/1424-8220/18/8/2502

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