Date of Award

8-31-2018

Publication Type

Master Thesis

Degree Name

M.A.Sc.

Department

Electrical and Computer Engineering

First Advisor

Rashidzadeh, Rashid

Second Advisor

Muscedere, Roberto

Rights

info:eu-repo/semantics/embargoedAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Location based applications such as indoor navigation is on the rise. A high resolution indoor positioning algorithm generally requires a server grade computer for implementation. Such a requirement, in turn makes access to a network connection a necessity. This has a potential to become an obstacle for indoor navigation and location-based applications. Performing positioning computations at the user end reduces network dependency for location based applications. However, the positioning algorithms have to be optimized to reduce the computational costs. This work introduces new algorithms for indoor positioning using Bluetooth Low Energy Beacons (BLE) tags with offline capabilities. These algorithms run on smartphones and can achieve accuracies of less than 2-meter error distance.

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