liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Crowd-based Network Prediction: a Comparison of Data-exchange Policies
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10,5 credits / 16 HE creditsStudent thesis
Abstract [en]

Network performance maps can be used as a tool to predict network conditions at a given location, based on previous measurements at that location. By using measurement data from other users in similar locations, these predictions can be significantly improved. This thesis looks into the accuracy of predictions when using different approaches to distribute this data between users, we compare the accuracy of predictions achieved by using a central server containing all known measurements to the accuracy achieved when using a crowd-based approach with opportunistic exchanges between users. Using data-driven simulations, this thesis also compares and evaluates the impact of using different exchange policies. Based on these simulations we conclude which of the exchange policies provides the most accurate predictions.

Place, publisher, year, edition, pages
2015. , 17 p.
Keyword [en]
Network prediciton, performance maps, data-exchange policies
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-119685ISRN: LIU-IDA/LITH-EX-G--15/057--SEOAI: oai:DiVA.org:liu-119685DiVA: diva2:826013
Subject / course
Information Technology
Presentation
2015-06-03, Babbage, Hus b, Campus Valla, Linköping, Linköpings universitet, Linköping, 10:00 (Swedish)
Supervisors
Examiners
Available from: 2015-06-26 Created: 2015-06-24 Last updated: 2015-06-26Bibliographically approved

Open Access in DiVA

Crowd_based_network_prediction(2565 kB)94 downloads
File information
File name FULLTEXT01.pdfFile size 2565 kBChecksum SHA-512
5ef8b899be5eaa1f03d4dd478d629af90073d9f7c0b8d116a7f7b59fab97bac37963b0686a942cca65ab4d8c0c1407718c7213fdeb4aea988a075dd10a37efba
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Danielsson, JakobForsberg, Anton
By organisation
Department of Computer and Information ScienceFaculty of Science & Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 94 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: 226 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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