Low-Cost, Open-Source Indoor Localization for IoT: A BLE-Based System

DOI

10.2991/978-94-6239-750-7_40How to use a DOI?

Keywords

Indoor Localization; Bluetooth Low Energy (BLE); IoT; Open-Source; Tri-lateration; Dead Reckoning; Kalman Filter

Abstract

This paper describes the fabrication of an easily accessible and deployable indoor positioning system (IPS) using Bluetooth Low Energy technology. The indoor localisation system developed offers an open-source and cost-effective alternative to existing commercial systems, which are limited in nature. The study discusses the test bed of hardware and software implementation, theoretical background and benchmarking. Testing equipment in a 15m corridor featuring eight BLE beacons demonstrates sub-meter accuracy. As a result, the IPS gives developers a useful mechanism to add location awareness to IoT applications.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yash Amin
PY  - 2026
DA  - 2026/08/31
TI  - Low-Cost, Open-Source Indoor Localization for IoT: A BLE-Based System
BT  - Proceedings of the International Conference on Advanced Design, Manufacturing, and Sustainable Energy Systems (ICADMSES 2026)
PB  - Atlantis Press
SP  - 558
EP  - 567
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-750-7_40
DO  - 10.2991/978-94-6239-750-7_40
ID  - Amin2026
ER  -