(DPMLA)-weighted dynamic characteristics and predictable movement learning algorithm to improve video streaming in heterogeneous environments

Niall Maher, Shane Banks, Enda Fallon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Mobile video is a key driver in the growth of mobile data. In heterogeneous networking environments, multimedia sessions are particularly vulnerable to varying network capabilities of underlying networks. This paper proposes a weighted dynamic and predictable based learning algorithm to improve video streaming in heterogeneous network environments (DPMLA). Current handover methods for seamless video streaming are performance limited as they do not consider how predictability movement can be used to alter the network handover decision. Research has shown that 93% of human movement is predictable. Studies also suggest that end user movement can be reliably predicted using mobile telecom services. The DPMLA algorithm considers both the dynamic performance of the network (Received Signal Strength (RSS), delay, loss) with a measure of the predictability of end user movement. Results illustrate that the DPMLA algorithm optimizes network selection and improves overall video streaming performance.

Original languageEnglish
Title of host publication1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages298-302
Number of pages5
ISBN (Electronic)9781479919208
ISBN (Print)9781479919208
DOIs
Publication statusPublished - 21 Oct 2015
Event1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Rome, Italy
Duration: 28 Sep 201530 Sep 2015

Publication series

Name1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings

Conference

Conference1st IEEE International Symposium on Systems Engineering, ISSE 2015
Country/TerritoryItaly
CityRome
Period28/09/1530/09/15

Keywords

  • Evalvid
  • MOS
  • Mobility
  • Predictable
  • Predictable movement

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