A Model-Based BLE Indoor Positioning System Using Particle Swarm Optimization
Author:
Affiliation:
1. Institute of Computing, Federal University of Amazonas, Manaus, Brazil
2. Faculty of Business and Information Technology, Ontario Tech University (UOIT), Oshawa, Canada
Funder
Coordination for the Improvement of Higher Education Personnel
Amazonas State Research Support Foundation (FAPEAM) through the POSGRAD Project
Institute for Innovation, Research, and Scientific and Technological Development of Amazonas
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10453373/10403777.pdf?arnumber=10403777
Reference25 articles.
1. Improved Wi-Fi Indoor Positioning Based on Particle Swarm Optimization
2. An Improved Particle Swarm Optimization-Based Feed-Forward Neural Network Combined with RFID Sensors to Indoor Localization
3. Airborne Acoustic Chirp Spread Spectrum Communication System for User Identification in Indoor Localization
4. RSSI-Based Indoor Localization With the Internet of Things
5. Ensemble learning particle swarm optimization for real-time UWB indoor localization
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1. Kernel density-based radio map optimization using human trajectory for indoor localization;Journal of Ambient Intelligence and Humanized Computing;2024-09-05
2. Exploiting 2-D Representations for Enhanced Indoor Localization: A Transfer Learning Approach;IEEE Sensors Journal;2024-06-15
3. Application of optimization algorithm for virtual reference tag assisted localization and tracking of RFID;International Journal of Communication Systems;2024-05-10
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