Fingerprint location algorithm based on K-means for spatial farthest access point in Wi-Fi environment

Fingerprint location algorithm based on K-means for spatial farthest access point in Wi-Fi environment

The main problems of location fingerprint are the timeliness and accuracy of location. However, the huge fingerprint database and complex location information will make the location process extremely complex and time-consuming. On the basis of introducing the basic idea of the strongest access point...

Full description

Bibliographic Details
Main Authors: Chun-Ming Wu, Sen-Nan Qi, Chen Zhao
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
fingerprint identification
computational complexity
mobile computing
pattern clustering
wireless lan
location process
strongest access point
location fingerprints recognition algorithm
farthest spatial ap
traditional k-means algorithm
optimal initial clustering centres
rough location
fingerprint position
nearest neighbour algorithm
location fingerprint algorithm
clustering time
matched fingerprints
fingerprint location algorithm
spatial farthest access point
wi-fi environment
huge fingerprint database
complex location information
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0995

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0995

Similar Items