Improved Indoor Localization Performance Using a Modified Affinity Propagation Clustering Algorithm With Context Similarity Coefficient

Improved Indoor Localization Performance Using a Modified Affinity Propagation Clustering Algorithm With Context Similarity Coefficient

The performance of fingerprint-based indoor wireless localization systems (IWL-Ss) can be enhanced using fingerprint clustering. The localization performance of clustered fingerprint-based IWL-Ss is affected by several factors, including choosing the most optimal initial parameters and the appropria...

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Bibliographic Details
Main Authors: Abdulmalik Shehu Yaro, Filip Maly, Karel Maly
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
APC algorithm
context similarity coefficient
fingerprint
k-NN
position RMSE
RSS
Online Access:https://ieeexplore.ieee.org/document/10145106/

Internet

https://ieeexplore.ieee.org/document/10145106/

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