University of Illinois Urbana-Champaign

Analysis of bluetooth low energy beacons in indoor localization policy and application

Guo, Jerry R.

Content Files
GUO-THESIS-2018.pdf

Permalink

https://hdl.handle.net/2142/102506

Description

Title
Analysis of bluetooth low energy beacons in indoor localization policy and application
Author(s)
Guo, Jerry R.
Issue Date
2018-12-10
Director of Research (if dissertation) or Advisor (if thesis)
Gunter, Carl
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2019-02-06T19:36:42Z
Keyword(s)
  • bluetooth
  • low-energy
  • BLE
  • beacon
  • localization
  • indoor
  • policy
  • context
  • aware
Abstract
Indoor localization systems have yet to be fully realized, but recent research is getting close to providing a cheap, system that will change the way that we interact with indoor computing systems. Internet of Things is growing and providing cheap, alternatives that may help realize this goal. This thesis examines the potential of a localization system using Bluetooth low energy beacons and the application of context-aware policy enforcement on mobile devices through discussion and implementation. The core of the idea is to develop a basic framework that encompasses the basis of context, policies, and how context can tie into policy enforcement. We show how context-based policies can be formalized and implemented on a mobile architecture with two different case studies. In addition to the policy engine, research is done into developing a cheap indoor localization system to power the context-based policies in a cheap and low setup cost method based off of existing RSSI distance estimation research. Bluetooth low energy beacons are explored as a cheap method to enable localization indoors by using the beacons to collect signal readings and create distance models empirically. Further techniques are discussed to enhance the absolute error through signal smoothing and filtering. Finally, the system architecture is fully explained and implemented with real-world tests in multiple environments.
Graduation Semester
2018-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/102506
Copyright and License Information
Copyright 2018 Jerry R. Guo

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Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Computer Science
Dissertations and Theses from the Siebel School of Computer Science