Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Indoor Navigation And PersonalTracking System Using BluetoothLow Energy Beacons
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2017 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Navigation systems for outdoor purposes have been around us for several years.Recently, it has emerged for indoor use. Thanks to techniques as Bluetooth and Wi-Fi, public places like shopping malls have come up with solutions that help theirvisitors navigate through the area. At the same time, an approach called crowd-sourced localization has hit the market. It is a technique where people help eachother to track down lost assets by getting close enough to an attached device andregister its coordinates.

In this thesis, these two techniques were combined to build and evaluate anapplication which handles the indoor positioning system with a new approach. Theexpensive part of the system is already included in the users and visitorssmartphones. The program consists of positioning the user, while activelysearching the near area for lost objects. This means that the only cost for the clientis to pay for the relatively cheap beacons attached to the walls and ceiling, whichare used to locate the users in the building.

Tests were done to evaluate how accurate the algorithm was when deciding theposition of the lost object. The practical number of smartphones required to findthe lost asset were also evaluated. Beside these technical aspects a user centeredsurvey was done to understand if people are willing to use such a system.

The results showed inconsistency in term of accuracy, but it also showed that itwas sufficient for finding the lost asset by this approach. By looking at the resultsfrom the different tests that were made a conclusion can be drawn that it requiresapproximately one user per every 360 to 450 m2 to locate an asset below 10seconds, all depending on the mobility of the asset.

Place, publisher, year, edition, pages
2017. , p. 79
Series
UPTEC IT, ISSN 1401-5749 ; 17023
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-331256OAI: oai:DiVA.org:uu-331256DiVA, id: diva2:1148761
Educational program
Master of Science Programme in Information Technology Engineering
Supervisors
Examiners
Available from: 2017-10-12 Created: 2017-10-12 Last updated: 2017-10-12Bibliographically approved

Open Access in DiVA

fulltext(2066 kB)138 downloads
File information
File name FULLTEXT01.pdfFile size 2066 kBChecksum SHA-512
70d80d9779f5a1c792ca1877a953998a041fbb0faa265c7b6f04e12a19713d5df1b8b1952d24ae6ed556b35fb0c6cfc35b47a55b11063e32f4d7a26fc96b0243
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 138 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 201 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.34-SNAPSHOT
|