Simulation of WiFi Fingerprint Location Model Based on Weighted K Nearest Neighbor Algorithm-Reference-Cited by-同舟云学术

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Simulation of WiFi Fingerprint Location Model Based on Weighted K Nearest Neighbor Algorithm

Published:2023-09-11 Issue: Volume: Page:364-369
ISSN:
Container-title:2023 International Conference on Telecommunications, Electronics and Informatics (ICTEI)
language:
Short-container-title:

Author:

Lin Shu¹,Chen Jun²,Han Jiayi³,Chen Duanyun⁴,Su Suyan¹

Affiliation:

1. State Grid Fujian Xiamen Electric Power Supply Company,Xiamen,Fujian,China,350204

2. Fuzhou University,Fuzhou,Fujian,China,350018

3. Fuzhou University Jinjiang Campus,Quanzhou,Fujian,China,362200

4. State Grid Fujian Electric Power CO. LTD,Fuzhou,Fujian,China,350001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592114/10592115/10592258.pdf?arnumber=10592258

Reference12 articles.

1. Pallas: Self-Bootstrapping Fine-Grained Passive Indoor Localization Using WiFi Monitors

2. An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints

3. ZIL: An Energy-Efficient Indoor Localization System Using ZigBee Radio to Detect WiFi Fingerprints

4. Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems

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

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