QoS for Real-time applications using OpenFlow in Wireless Network

Abstract

Network Convergence is of vital importance due to limited network resources. On one hand it decreases network cost but on the other hand it reduces Quality of Service (QoS). Due to increase in real-time network applications, such as video conferencing and VOIP calls, there is a need to achieve fairness in user demand through QoS. This task is more challenging in an Infrastructure less network due to increased network losses. QoS is not implemented in Wireless Local Area Network (WLAN) using OpenFlow. We have proposed an algorithm to support QoS in WLAN using OpenFlow architecture for real-time tra c, whereby e ciently utilizing bandwidth and reducing ow starvation. We named this algorithm as Adaptive QoS algorithm. This algorithm allocates queues to ows using real time tra c analysis in OpenFlow architecture. A speci c queue is allocated to a speci c type of tra c and

ows are dynamically switched based on increase in tra c demand if other queues are under use. We have implemented our work on a physical test bed to compare it with standard QoS mechanism. The results show bandwidth e ciency over standard QoS mechanism and decrease in Packet loss rate. Adaptive QoS algorithm has increased the overall bandwidth and decreased the ow starvation.