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Traffic prediction based packet transmission priority technique in an infrastructure wireless network

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conference contribution
posted on 2024-11-20, 10:25 authored by Alia AsheralievaAlia Asheralieva, Jamil Y. Khan, Kaushik Mahata

Priority based packet transmission techniques are commonly used in communication networks to support multimedia services. In wireless networks mainly type of service or queue measurement based packet transmission priority techniques are used. This paper introduces a novel two stage traffic prediction and type of service based priority technique for an infrastructure based Wireless Local Area Network. The developed algorithm alters the priority of transmission queues and services in a radio access network based on the predicted traffic volume and the conventional type of service priority technique for multimedia packet transmissions. Simulation results show that our proposed algorithm improves the QoS of multimedia traffic significantly. An OPNET based simulation model has been developed to obtain the performance results for a multiple access points based wireless infrastructure network.

History

School

  • Science

Department

  • Computer Science

Published in

2011 IEEE Wireless Communications and Networking Conference

Pages

404 - 409

Source

2011 IEEE Wireless Communications and Networking Conference (WCNC)

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2011-05-27

Copyright date

2011

ISBN

9781612842547; 9781612842554

ISSN

1525-3511

eISSN

1558-2612

Language

  • en

Location

Cancun, Mexico

Event dates

28th March 2011 - 31st March 2011

Depositor

Dr Alia Asheralieva. Deposit date: 29 May 2024

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