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Adaptive, Active Queue Management in Heterogeneous Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Responsible organisation
2004 (English)In: ITI 2004: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES, UNIV ZAGREB, FACULTY MECHANICAL ENGINEERING & NAVAL ARCHITECTURE , 2004, 633-636 p.Conference paper, (Refereed)
Abstract [en]

Queue management and congestion control are important to the robustness and fairness of the Internet. So far, the Active Queue Management (AQM) algorithms show weaknesses to detect and control congestion under dynamically changing network topology. In this paper a new AQM algorithm, termed as an Adaptive AQM (AAQM) is proposed to improve on both fairness and congestion control in heterogeneous networks. The performance of AAQM is compared to those ones of Blue, Drop-tail, RED and REM. The results of the simulations show that AAQM is very promising with respect to responsiveness and robustness in time-varying networks.

Place, publisher, year, edition, pages
UNIV ZAGREB, FACULTY MECHANICAL ENGINEERING & NAVAL ARCHITECTURE , 2004. 633-636 p.
Keyword [en]
AQM, heterogeneous networks, throughput
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-3346ISI: 000224384500097Local ID: 3729ISBN: 953-96769-9-1 (print)OAI: oai:DiVA.org:miun-3346DiVA: diva2:28378
Conference
26th International Conference on Information Technology Interfaces, Jun 07-10, 2004, Cavtat, Croatia
Available from: 2008-09-30 Created: 2008-09-30 Last updated: 2011-09-21Bibliographically approved
In thesis
1. Models for quality of service in heterogenoeous networks
Open this publication in new window or tab >>Models for quality of service in heterogenoeous networks
2007 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Both streaming techniques and wireless heterogeneous networks have recently become more widely deployed. As the current streaming techniques are primarily designed for homogenous wired networks, streaming multimedia applications in heterogeneous networks can perform poorly due to wireless networks conditions and vertical handover. These problems can significantly degrade the performance of streaming multimedia applications. Effects of the degradation are delay, jitter and packet loss resulting in lower multimedia quality. The use of some congestion recovery algorithms are detrimental factors to QoS. One approach used to control congestion in the network layer is Active Queue Management (AQM). This dissertation presents an evaluation and comparison of AQM mechanisms in heterogeneous networks. Based of the results of this research a new AQM algorithm, named the Adaptive AQM (AAQM) is proposed. The AAQM uses control law and link utilization in order to manage congestion. The action of the control law is to mark incoming packets in order to maintain the quotient between arriving and departing packets as low as possible. The AAQM enhances performance with respect to the queue length and packet loss as well as buffer space requirements. AAQM outperforms the other AQM algorithms in terms of multimedia packet loss and buffer delay.

Place, publisher, year, edition, pages
Sundsvall: Mittuniversitetet, 2007. 41 p.
Series
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 24
National Category
Computer Science
Identifiers
urn:nbn:se:miun:diva-9331 (URN)978-91-85317-57-8 (ISBN)
Presentation
(English)
Available from: 2009-07-10 Created: 2009-07-10 Last updated: 2009-07-13Bibliographically approved
2. Active queue management for quality of service in heterogeneous networks: design of active queue management for access routers
Open this publication in new window or tab >>Active queue management for quality of service in heterogeneous networks: design of active queue management for access routers
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2011. 108 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 103
National Category
Computer Systems
Identifiers
urn:nbn:se:miun:diva-14511 (URN)STC (Local ID)978-91-86694-26-5 (ISBN)STC (Archive number)STC (OAI)
Supervisors
Available from: 2011-09-21 Created: 2011-09-21 Last updated: 2016-10-19Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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