Using Bluetooth to Implement a Pervasive Indoor Positioning System with Minimal Requirements at the Application Level

Author:

Muñoz-Organero Mario1,Muñoz-Merino Pedro J.1,Delgado Kloos Carlos1

Affiliation:

1. University Carlos III of Madrid, Madrid, Spain

Abstract

Different systems have been proposed to estimate the position of a mobile device using Bluetooth based on metrics such as the Radio Signal Strength Indicator (RSSI), the received Bit Error Rate (BER) or the Cellular Signal Quality (CSQ). These systems try to improve the estimation accuracy of the basic and straightforward triangulation method among discovered BT reference base stations at the cost of requiring that the positioning application has access to low level hardware related data (provided by the Host Controller Interface) and obtaining information which is in many cases hardware, and therefore device, dependent. In this paper we design, simulate, implement and validate a Bluetooth positioning system that only requires the ability to handle SDP service records at the application level, achieving mean errors around 1 to 3 meters, improving the basic triangulation method among discovered BT reference base stations.

Funder

ARTEMISA project

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bluetooth indoor positioning system based on improved RSSI data;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

2. End-to-End Sequential Indoor Localization Using Smartphone Inertial Sensors and WiFi;2022 IEEE/SICE International Symposium on System Integration (SII);2022-01-09

3. Development of smartphone based indoor navigation system using BLE nodes for the workforce in industry 4.0 through a digital map interface;INTELLIGENT SYSTEMS: A STEP TOWARDS SMARTER ELECTRICAL, ELECTRONIC AND MECHANICAL ENGINEERING: Proceedings of 2nd International Conference on Industrial Electronics, Mechatronics, Electrical and Mechanical Power (IEMPOWER), 2021.;2022

4. Locating Objects in Warehouses Using BLE Beacons & Machine Learning;IEEE Access;2021

5. Real-Time Infrastructureless Indoor Tracking for Pedestrian Using a Smartphone;IEEE Sensors Journal;2019-11-15

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