NDLI: Enhancements of the Dynamic TXOP Limit in EDCA Through a High-Speed Wireless Campus Network

Content Provider	Springer Nature Link
Author	Alam, M. K. Latif, S. A. Akter, M. Anwar, F. Hasan, Mohammad Kamrul
Copyright Year	2016
Abstract	IEEE802.11e is a concrete challenge to providing quality of service (QoS) aimed at interactive multimedia (IMM) applications due to the resource allocation parameter for heterogeneous traffic flows. This parameter is fixed for different specific IMM traffic flows in the IEEE802.11e standard. However, due to the variation in traffic load on wireless campus networks (WCNs), the fixed allocation of the channel resource parameter is not sufficient to guarantee QoS for IMM traffic flows. Thus, many researchers have investigated dynamic regulation of this resource allocation parameter to ensure QoS. However, there are still some unresolved problems with this parameter. This paper introduces an enhanced EDCA resource allocation parameter named dynamic transmission opportunity (TXOP) limit that regulates according to the variation in traffic load over WCN. This work also employs a mathematical modelling approach for the proposed parameter and numerical analysis of the existing and proposed parameters. The evaluation of the proposed model is simulated using Qualnet 5.1. The simulation results show that the proposed scheme allows improving the QoS performance of IMM traffic by reducing end-to-end delay. Additionally, the results show that the proposed scheme significantly improves global throughput.
Starting Page	1647
Ending Page	1672
Page Count	26
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	90
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2016-06-15
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	IEEE802.11e Dynamic TXOP limit EDCA WCN Multimedia applications Communications Engineering, Networks Signal,Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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