Date post: | 20-May-2019 |
Category: |
Documents |
Upload: | duongquynh |
View: | 214 times |
Download: | 0 times |
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
27
End to End Delay of VoIP over WiMax
Hiba Osman Mohammed Osman1, Dr. Khalid Hamid Bilal2 and Dr. Amin Babiker A/nabi Mustafa3
1,2,3Al-Neelain University, Faculty of Engineering, Khartoum, Sudan
Publishing Date: May 30, 2016
Abstract
The aim of this paper is to evaluate the end to end delay
performance of VOIP over WIMAX for fixed and mobile
WIMAX networks using OPNET software for different types
of nodes. Keyword: WIMAX, VOIP, OPNET, QoS.
I. Introduction
The development of wireless communication
systems and networks in last years has been become an
important part of modern life style requirements. The
demand of high speed data transfer with high quality is
being the main factor for the development of
technology. WIMAX is a standard for wireless
communication which supports higher number of users
with higher data rates, coverage and availability. This
technology is based on IEEE 801.16 standards and it has
two versions Fixed WIMAX, based on IEEE 801.16d,
and the mobile WIMAX, based on IEEE 802.16e [1].
VOIP or internet telephony .It uses the Internet as a
telephone network with some additional capabilities.
Instead of communicating over a circuit-switched
network, this application allows communication
between sender and receiver over the packet-switched
Internet. Two protocols have been designed to handle
this type of communication: SIP and H.323.The Session
Initiation Protocol (SIP) was designed by IETE it is an
application layer Protocol that establishes, manages, and
terminates a multimedia session (call).H.323 is a
standard designed by (ITV) to allow telephones on the
public telephone Network to talk to computers (called
terminals in H.323) connected to the Internet [2].
There have been recent studies focusing on performance
evaluation of VOIP in WIMAX network.
Ahmed Hassan M.Hassan and Elrashed Ismail M.Zayid
made paper to examine VOIP over WIMAX network
and evaluated the performance for QoS Using OPNET
modeler. They made different scenarios to calculate the
performance for different number of node. They found
that when nodes increase the delay will increase [3].
Ojasvichhaniwal and MS minakshiHalder used NS2
network simulator to evaluate the performance of VOIP
over WIMAX, by creating WIMAX network scenario
with different routing protocols like DSDV, MADV and
AODV with different number of node, they found that
amount of delay in ADVD is less than DSDV [4].
M.A.Mohamed, F.W. Zaki and A.M. Elfeki evaluated
the performance of different VOIP codes over the
WIMAX network using OPNET modeler such as G711,
G.7231, and G729.they found that the G.723 is the best
one because it has lower delay [5].
Sheetal Jalendry, Shradha Verma examined VoIP in
WIMAX network with different codes (G.711, G.722,
G.723, G.726, G.727, G.728, G.729) OPNET modeler
16.0.A was selected as the simulation tool. The Packet
End-to-End delay for the voice code G.723.1 was the
highest. This is due to G 723.1 utilizes coding rate of 6.3
Kbps [6]
Anita Mishra, Neha Marria, Harsukhpreet Singh made
general simulation to estimate the performance of
WIMAX for supporting VOIP traffic using OPNET
modeler ,they made comparison between QoS classes
BE, ERTPS, NRPTS, RTPS, optimized ERTPS .they
found that ERTPS is the best one due to lower delay
performance [7].
The objective of this paper is to study analyse,
plan and design software program to simulate and
evaluate the performance of voice over IP over WIMAX
using OPNET software , the delay was considered as
QoS performance in this paper.
2. Description Analysis
The performance of VOIP over WIMAX
networks was planned and designed by OPNET
software for campus area of 400km2 with different
number of node varies between 5, 10, and 15 with
different transmitted power for fixed and mobile nodes.
3. Mathematical Modelling
The delay of a network is the time that packet
takes to travel from one node to another in the network.
There is accepted limited delay value a few milliseconds
to transmit a packet through a link from source to
destination. This delay occur result to congestion in the
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
28
network. The delay can be calculated using the
following formula:
The Arrival Time is the time when the packet arrives to
the source node, the Delivery Time is the time when the
packet delivered to the destination node, Received
Packets is the total number of packets received between
the start time, tn of frame n and the start time, tn+1 of
the next frame n+1[8]
4. Computer Modelling
NO
Yes
Figure 1: Computer Modelling
Simulation time= simulation+20s
Simulation time = 0s
0se0sarea=20tkm2=20*20km^^
^^^^^^^^^=
Average
delay=
Configure network
No of node, No of cell, transmitted power
End
Simulation time ≥
180s
Simulation area=20*20km2
Generate packet
Select type of WIMAX network
Plot delay via
simulator
Start
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
29
5. Simulation Parameter
Table 1: Simulation Parameter
Value Parameter Fixed ,mobility Type of WIMAX Network
VoIP Application 5,10,15 Nodes
3 minutes Simulation time
3,5 Number of cell
G7.11 Coding
0.5,1w Transmitted Power
6. Simulation
OPNET software used to simulate and evaluate the performance of VOIP over fixed and mobile WIMAX network. It was
showed different scenarios.
Figure 2 : Three Cells with Mobile Nodes
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
30
Figure 3 : Three Cells with Fixed Nodes
Figure 4 : Five Cells with Mobile Nodes
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
31
Figure 5 : Five Cells with Fixed Nodes
7. Results
The simulation was implemented and we get the following results:
Figure 6: Average Delay for Mobile Nodes with Power Value 0.5w and Variable Number of Node (5, 10, 15)
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
32
Figure 7: Average Delay for Fixed Nodes with Power Value 0.5w and Variable Number of Node (5, 10, 15)
Figure 8: Average Delay for Mobile Nodes with Variable Power (0.5, 1) w and 5 Nodes
International Journal of Engineering, Applied and Management Sciences Paradigms, Vol. 35, Issue 01
Publishing Month: May 2016
An Indexed and Referred Journal
ISSN (Online): 2320-6608
www.ijeam.com
IJEAM
www.ijeam.com
33
Figure 9: Average Delay for Fixed Nodes with Variable Power (0.5, 1) w and 5 Nodes
8. Result Analysis
If we look into the figures above we find that in
mobile and fixed network when number of node
increase the delay will increase, result to the congestion
that occur between nodes, When number of node was 5
the average end to end delay for three cells with mobile
nodes was 0.002 while it was 0.007 for fixed nodes and
it was 0.002 for five cells with mobile nodes while it
was 0.008 for fixed nodes. When number of node was
10 the average end to end delay for three cells with
mobile nodes was 0.002 while it was 0.008 for fixed
nodes and it was 0.003 for five cells with mobile nodes
while it was 0.009 for fixed nodes.
When transmitted power increase the end to end delay
increase in mobile nods but it was constant in fixed
nodes, when the power was o.5w the average end to end
delay for three cells with mobile nodes was 0.007, while
it was 0.008 for three cells when the power was 1w and
it was 0.002 for three cells with fixed nodes for both
transmitted power values.
9. Conclusion
The performance analyses of VOIP over fixed and
mobile WIMAX networks have been done by measuring
and calculating the end to end Delay for different
scenarios using OPNET software.
References
[1] Preetinder Singh, Ravneet Kaur "VOIP Over
WIMAX: A Comprehensive Review" 2014
[2] Behrouza. Forouzan "Data communication and
networking" 2007
[3] Ahmed Hassan M.Hassan, ELrasheed Ismail
M.Zayid "performance evaluation of QoS in
WIMAX network" May 2015
[4] Ojasvichhaniwal and MS minakshiHalder "Design
and Implementation of QoS in WIMAX module
using two –ray ground and shadowing mobility
model under NS-2" April 2015
[5] M.A.Mohamed, F.W.Zaki and A.M. Elfeki
"performance Analysis of VOIP codecs over
WIMAX networks" November 2012
[6] Sheetal Jalendry, Shradha Verma "Performance
Analysis of various Codecs Schemes of VOIP over
WiMAX" June 2015
[7] Anita Mishra, Neha Marria , Harsukhpreet singh"
performance Evaluation of WIMAX network with
High QoS services incorporating Different physical
and Mac layer slanders" April 2015
[8] Ibrahim A. Lawal, Abas Md Said and Abubakar
Aminu Mu’azu "Simulation Model to Improve QoS
Performance over Fixed WiMAX using OPNET"
February 2013.