Doctoral thesis (Dissertations and theses)
Enhancing Mobility Applications Through Bluetooth Communications
Bronzi, Walter


Full Text
Author postprint (6.92 MB)

All documents in ORBilu are protected by a user license.

Send to


Keywords :
bluetooth; mobility; Sensing systems; machine learning; context-aware services; bluetooth low energy; inter-vehicular communications; v2v; v2x; communication; infromation
Abstract :
[en] In the world of short and medium-range wireless technologies, Bluetooth has recently come to the forefront of innovation. Within the next five years its market presence, especially in its Low Energy variation, is expected to nearly double across all market segments. The technology is quickly and steadily gaining importance for a wide range of applications with a specific focus on Internet of Things (IoT) devices. The growing availability and variety of such devices constitute an untapped potential that we plan on exploiting. Our focus in this thesis is to understand Bluetooth’s capabilities and explore its potential in mobile contexts. One specific field where this technology remains unexplored is Vehicular Ad Hoc Networks (VANETs). Because of the need to implement and moderate vehicular communications, the topic of Intelligent Transportation Systems (ITSs) is now trending more than ever. In this thesis we propose two ways we can benefit from Bluetooth in a mobile environment. Firstly, we consider the technology as a communication medium to investigate how di↵erent mobilities a↵ect the link performance between two devices. To do this, we define a set of communication experiments, in our case between two vehicles, to analyse how Bluetooth Low Energy (BLE) is a↵ected by varying speed, distance and traffic conditions. We find that the maximum communication range between two devices can go beyond 100m and that a robust connection, capable of handling sudden signal losses or interference, can be achieved up to a distance of 50m. The experiments were conducted using a proof-of-concept mobile application for o↵-the-shelf smartphones that can be used to transmit data over multiple hops in various Vehicle-to-Everything (V2X) scenarios. Secondly, we consider Bluetooth discovery capabilities as an information medium by using a connectionless approach to analyse di↵erent mobility frameworks. As there is an increasing need for vehicles and objects to become aware of their context, we implement Bluetooth as a sensing system to provide contextual information about its surroundings. Our challenge is to find out to what extent we can exploit the Bluetooth discovery and beaconing scheme for this purpose. We collect and analyse a dataset of Bluetooth Classic and BLE discoveries and evaluate their respective characteristics and ability to provide context-aware information from a vehicular perspective. By examining data recorded about encountered devices, such as quantity, quality of signal and device class information, we infer distinctive Bluetooth behaviours related to context and application. For this purpose, we propose a set a features to train a classification model to recognize di↵erent driving environments (i.e. road classes). Investigating the performance of our classifier, we were able to predict up to three classes (highway, city, extra-urban) by using only Bluetooth discovery data and no geographical information. This outcome gives promising results targeted at low energy and privacy-friendly applications and can open up a wide range of research directions. In conclusion, in this thesis we present two ways of applying Bluetooth to mobile contexts for deploying novel human mobility applications.
Disciplines :
Computer science
Author, co-author :
Bronzi, Walter ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
Title :
Enhancing Mobility Applications Through Bluetooth Communications
Defense date :
13 October 2017
Institution :
Unilu - University of Luxembourg, Luxembourg
Degree :
Docteur en Informatique
Promotor :
Available on ORBilu :
since 29 January 2018


Number of views
113 (15 by Unilu)
Number of downloads
777 (8 by Unilu)


Similar publications

Contact ORBilu