Interactive multi-media applications: quality of service guaranteed under huge traffic
The internet has brought about revolution in the telecommunication system. The use of computer applications has changed with easiness and low cost. Interactive Multimedia IMM applications such as Voice over Internet Protocol VOIP and video conferencing are being produced. They offer beneficial...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Foundation of Computer Science, New York, USA
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38931/ http://irep.iium.edu.my/38931/1/ijca.pdf http://irep.iium.edu.my/38931/2/IMM_QoS_Jameel_ijca.pdf |
| Summary: | The internet has brought about revolution in the
telecommunication system. The use of computer applications
has changed with easiness and low cost. Interactive
Multimedia IMM applications such as Voice over Internet
Protocol VOIP and video conferencing are being produced.
They offer beneficial services to academicians, officers and
other users. But these services suffer from performance
degradation in the today’s high speed Wireless Local Area
Network WLAN. However, guaranteed Quality of Service
QoS remains the bottleneck in the network which becomes a
great challenge to improve. This work reviewed many
approaches attempted to improve the QoS for these
applications. Here we considered mapping a QoS class
parameter i.e Quality of Servive Class Identifier-to-
Differentiated Services Code Points QCI/DSCP to the
upstream and downstream data flowing in the core of the
network that improves its overall performance. This is
achieved by mapping QCI to DSCP and then mapping again
the QCI/DSCP to the IMM traffic. This gives the QoS bearer
packets highest priority and a strong signal. The results
obtained after simulation in QualNet shows that our proposed
mechanism produced better performance of the network in
comparison to the default. This is measured in terms of three
network performance metrics (average delay, average jitter
and throughput). The overall average end-to-end delay is
decreased by 34%, while overall average jitter drops by 24%
and the throughput rises slightly by 4.6%. |
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