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.
