Service differentiation in IEEE 802.11e HCF access method

Whe Dar Lin, Der Jiunn Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As the demand for broadband multimedia wireless is increasing, there is a great need for quality of service (QoS). The IEEE 802.11e workgroup proposes the hybrid coordination function (HCF) channel access mechanisms, which includes two mechanisms: enhanced distributed channel access (EDCA) and HCF control channel access (HCCA). The EDCA is a contention-based scheme and supports service differentiation through prioritiesed access to the wireless medium. The HCCA works under the control of a hybrid coordinator (HC) and provides a centralised polling scheme. In this paper, we evaluate and compare the performance of HCCA and EDCA for constant bit rate (CBR) traffic transmission. The results show that both access methods are able to carry the prioritized traffic.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
Pages208-217
Number of pages10
DOIs
Publication statusPublished - 2008 Dec 1
Event9th Pacific Rim Conference on Multimedia, PCM 2008 - Tainan, Taiwan
Duration: 2008 Dec 92008 Dec 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th Pacific Rim Conference on Multimedia, PCM 2008
CountryTaiwan
CityTainan
Period08-12-0908-12-13

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lin, W. D., & Deng, D. J. (2008). Service differentiation in IEEE 802.11e HCF access method. In Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings (pp. 208-217). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5353 LNCS). https://doi.org/10.1007/978-3-540-89796-5_22