# Wi-Fi Fingerprint-Based Indoor Localization Method via Standard Particle Swarm Optimization
## 3 System Overview
### SPSO Algorithm for Localization
\begin{tabular}{l l} ANN & Artificial neural network \\ AOA & Angle of arrival \\ AP & Access point \\ GPS & Global positioning system \\ IMU & Inertial measurement units \\ IoT & Internet-of-Things \\ KNN & K-nearest neighbor \\ LR & Linear regression \\ MAE & Mean absolute error \\ MSE & Mean square error \\ NLOS & Non-line of sight \\ NN & Neural network \\ PSO & Particle swarm optimization \\ RF & Random forests \\ RFID & Radio frequency identification \\ RMSE & Root mean square error \\ RP & Reference point \\ RSS & Received signal strength \\ SPSO & Standard particle swarm optimization \\ STD & Standard deviation \\ SVM & Support vector machine \\ TDOA & Time difference of arrival \\ TOA & Time of arrival \\ UWB & Ultra wide band \\ WKNN & Weighted k-nearest neighbor \\ \end{tabular} 

## References

* (1) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] A Systematic Review of Location Aware Schemes in the Internet of Things. _Sensors_**2021**, _21_, 3228. [CrossRef] [PubMed]
* (2) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Machine learning for wireless communications in the Internet of Things: A comprehensive survey. _Ad Hoc Netw._**2019**, _93_, 101913. [CrossRef]
* (3) [PERSON]; [PERSON]; [PERSON] Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview. _IEEE Access_**2021**, \(9\), 127150-127174. [CrossRef]
* (4) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Review of Indoor Positioning: Radio Wave Technology. _Appl. Sci._**2021**, _11_, 279. [CrossRef]
* (5) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Survey on WiFi-based indoor positioning techniques. _IET Commun._**2020**, _14_, 1372-1383. [CrossRef]
* (6) [PERSON]; [PERSON] [PERSON] An Automated Indoor Localization System for Online Bluetooth Signal Strength Modeling Using Visual-Inertial SLAM. _Sensors_**2021**, _21_, 2857. [CrossRef]
* (7) [PERSON]; [PERSON] UWB Indoor Localization Using Deep Learning LSTM Networks. _Appl. Sci._**2020**, _10_, 6290. [CrossRef]
* (8) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] High-Accuracy Robot Indoor Localization Scheme Based on Robot Operating System Using Visible Light Positioning. _IEEE Photonics J._**2020**, _12_, 7901716. [CrossRef]* [PERSON] et al. (2019) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] RSSI-Based Indoor Localization and Identification for ZigBee Wireless Sensor Networks in Smart Homes. _IEEE Trans. Instrum. Meas._**2019**, _68_, 566-575. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision. _Sensors_**2020**, _20_, 2641. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON] A Survey on Indoor Vehicle Localization through RFID Technology. _IEEE Access_**2021**, \(9\), 17921-17942. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] An Indoor Position-Estimation Algorithm Using Smartphone IMU Sensor Data. _IEEE Access_**2019**, \(7\), 11165-11177. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON] MINLOC: Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks. _IEEE Access_**2020**, \(8\), 66213-66227. [CrossRef]
* [PERSON] and [PERSON] (2022) [PERSON]; [PERSON] On the RSSI-Based Indoor Localization Employing LoRa in the 2.4 GHz ISM Band. _Radioengineering_**2022**, _31_, 135-143. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] A Survey of Indoor Localization Systems and Technologies. _IEEE Commun. Surv. Tutor._**2019**, _21_, 2568-2599. [CrossRef]
* [PERSON] (2009) [PERSON] Hybrid Ultrasound-RFID Indoor Positioning: Combining the Best of Both Worlds. In Proceedings of the IEEE International Conference on RFID, Orlando, FL, USA, 27-28 April 2009; pp. 155-162. * [PERSON] et al.