https://github.com/sang-buster/indoor-positioning-system

Wi-Fi Indoor Positioning System based on K-Nearest Neighbors Algorithm
https://github.com/sang-buster/indoor-positioning-system

ips knn-classification r wi-fi

Last synced: 12 months ago
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Wi-Fi Indoor Positioning System based on K-Nearest Neighbors Algorithm

Host: GitHub
URL: https://github.com/sang-buster/indoor-positioning-system
Owner: Sang-Buster
License: mit
Created: 2022-11-22T20:56:24.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2023-02-21T08:07:58.000Z (over 3 years ago)
Last Synced: 2025-06-06T22:38:20.108Z (about 1 year ago)
Topics: ips, knn-classification, r, wi-fi
Language: R
Homepage:
Size: 12.8 MB
Stars: 4
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

Wi-Fi Indoor Positioning System (IPS)
based on
K-Nearest Neighbors (KNN) Algorithm

#WiFi fingerprinting #WiFi indoor positioning #K-nearest neighbor algorithm

```
📦Indoor_positioning_system
┣ 📂img //Data Visualizations
┣ 📂lib //Supplementary Materials
┣ 📂src //Source Code
┃ ┣ 📂clean_data
┃ ┣ 📂raw_data
┃ ┣ 📄Step.1_Data_Cleaning.qmd
┃ ┣ 📄Step.1_Data_Cleaning.R
┃ ┣ 📄Step.2_Data_Analysis.qmd
┃ ┣ 📄Step.2_Data_Analysis.R
┃ ┣ 📄Step.3_Data_Visualization.qmd
┃ ┣ 📄Step.3_Data_Visualization.R
┃ ┗ 📄Step.99_Final_Complete_Code.R
┣ 📄LICENSE
┗ 📄README.md
```

Problem

Identify the physical location of indoor devices that are connected to the network.

Goals

- Create a model that takes a set of signal strengths of the relevant access points to a connected device.
- Predicts the physical location of that device.
- Quantify the accuracy and precision of the model.