A QoS Model for Real-Time Application in Wireless Network Using Software Defined Network

Network convergence has vital importance due to limited network resources. Though it decreases network cost, it also reduces Quality of Service (QoS) as well. Due to the increase in real-time network applications, such as video conferencing and voice over IP calls, there is a need to achieve fairnes...

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Bibliographic Details
Published in:Wireless personal communications 2020-05, Vol.112 (2), p.1025-1044
Main Authors: Shah, Sayed Qaiser Ali, Khan, Farrukh Zeeshan, Baig, Adeel, Iqbal, Muhammad Munwar
Format: Article
Language:English
Subjects:
Adaptive control
Communications Engineering
Computer architecture
Computer Communication Networks
Engineering
Local area networks
Networks
Quality of service
Quality of service architectures
Queues
Real time
Service introduction
Signal,Image and Speech Processing
Software-defined networking
Videoconferencing
Wireless networks
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Summary:Network convergence has vital importance due to limited network resources. Though it decreases network cost, it also reduces Quality of Service (QoS) as well. Due to the increase in real-time network applications, such as video conferencing and voice over IP calls, there is a need to achieve fairness in user's demand through QoS. QoS measurement tasks are more challenging and increased network losses in infrastructure less network. QoS is not yet implemented in Wireless Local Area Network (WLAN) using Software Defined Network (SDN). We have proposed a model to support QoS in WLAN using SDN architecture for real-time traffic. It is efficiently utilizing bandwidth and reducing flow starvation due to centralize control. We named it, an Adaptive QoS model. This model allocates queues dynamically to flows using real-time traffic analysis in SDN architecture. A specific queue is allocated to a specific type of traffic. Flows are dynamically switched based on the increase in traffic demand if other queues are under-use. We achieved handsome improvement in Adaptive QoS model rather than a standard QoS model in terms of throughput and losses.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-020-07089-5