# DIY-IPS: Towards an Off-the-Shelf Accurate Indoor Positioning System

arXiv: https://arxiv.org/abs/2209.03613 · HTML: https://mlsanity.com/paper/2209.03613/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 13 references that are in the map.
- First posted on arXiv 8 Sep 2022.

## Builds on (most cited first, 6 of 6)

- [A Survey of Indoor Localization Systems and Technologies](https://mlsanity.com/paper/1709.01015/) (2017)
- [ViFi: Virtual Fingerprinting WiFi-based Indoor Positioning via Multi-Wall Multi-Floor Propagation Model](https://mlsanity.com/paper/1611.09335/) (2016)
- [Fairness-aware Crowdsourcing of IoT Energy Services](https://mlsanity.com/paper/2111.06064/) (2021)
- [Wireless IoT Energy Sharing Platform](https://mlsanity.com/paper/2201.11275/) (2022)
- [Quality of Experience Optimization in IoT Energy Services](https://mlsanity.com/paper/2208.13506/) (2022)
- [Proactive Composition of Mobile IoT Energy Services](https://mlsanity.com/paper/2107.12519/) (2021)

## Abstract (arXiv)

We present DIY-IPS - Do It Yourself - Indoor Positioning System, an open-source real-time indoor positioning mobile application. DIY-IPS detects users' indoor position by employing dual-band RSSI fingerprinting of available WiFi access points. The app can be used, without additional infrastructural costs, to detect users' indoor positions in real time. We published our app as an open source to save other researchers time recreating it. The app enables researchers/users to (1) collect indoor positioning datasets with a ground truth label, (2) customize the app for higher accuracy or other research purposes (3) test the accuracy of modified methods by live testing with ground truth. We ran preliminary experiments to demonstrate the effectiveness of the app.