Fingerprint location algorithm based on K‐means for spatial farthest access point in Wi‐Fi environment-Reference-Cited by-同舟云学术

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

Published:2019-12-11 Issue:4 Volume:2020 Page:115-119
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Wu Chun‐Ming¹,Qi Sen‐Nan¹²,Zhao Chen³

Affiliation:

1. School of Electrical Engineering, Northeast Electric Power UniversityJilinPeople's Republic of China

2. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyMinistry of EducationNortheast Electric Power UniversityJilin 132012People's Republic of China

3. China Unicom Jilin BranchPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.0995

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3. Improved Wi‐Fi RSSI measurement for indoor localization;Xue W.X.;IEEE Sens. J.,2017

4. Indoor location sensing with invariant Wi‐Fi received signal strength fingerprinting;Husen M.N.;Sensors (Switzerland),2016

5. Location fingerprints based indoor positioning using least squares support vector machine;Wei Y.H.;Comput. Eng. Applic.,2016

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