SlideShare a Scribd company logo
1 of 27
Study of Viability of VoIP on EritreanStudy of Viability of VoIP on Eritrean
WAN EnvironmentWAN Environment
Prepared
BY
Osman Kakay
University of KwaZulu Natal
Howard Collage Campus, Durban
South Africa
In Radio Access and Rural TechnologiesIn Radio Access and Rural Technologies
Centre of ExcellenceCentre of Excellence
 /  (031) 260-7008  http://coe.ukzn.ac.za
1)1) INTRODUCTIONINTRODUCTION
Voice over IP (VoIP) is an emerging technology that utilizes the Internet
to exchange voice through digital data packets. The benefits of creating
one infrastructure to support all forms of communication are undeniable.
VoIP shares the same network with data, effectively consolidating
bandwidth by sending packets to any available path at any given time
resulting in more efficient use of the network. In addition to the cost
reduction achieved by the sharing of network resources, VoIP is expected
to accelerate the development of rich multimedia service.
Figure 1. Sample of VoIP network
In the first part the paper addressing the performance of WAN through
measured traffic between Asmara and Massawa LANs. This is achieved
from the analysis of single path (19200 bps) and dual path (9600 bps)
traffic, the throughput, and packet loss parameters. The traffic analysis
results and discussion of single and dual path are described in section 2.1
and 2.2. In the second part the paper addressing the performance of VoIP
in the Eritrean environment using an OPNET Modeler program to simulate
the performance of VoIP via delay and packet loss parameters to calculate
R-value using E-Model for the quality of service (QoS).
2) Objectives2) Objectives
 To Examine the performance of WAN between Asmara and Massawa
LANs. This is achieved from the analysis of single path (19200 bps) and
dual path (9600 bps). Traffic, the throughput, and packet loss are the key
factors to analyze the measurements results.
 Examine the performance of VoIP with voice using the WAN between
Asmara LAN and Massawa LAN with 28 kbps, 33 kbps, 64 kbps, 128
kbps to determine the cheapest and highest quality acceptable link that can
support the speech coder with most calls. Delay and packet loss are the
key factors to analyze the simulation result.
 To determine the best coder with 256 kbps through the performance of
VoIP with voice and data using the total traffic of WAN between the
Asmara LANs and Massawa LANs. Delay and packet loss are the key
factors to analyze the simulation result.
3) Method3) Method
The tools and method used for analyzing the performance of WAN
between Asmara and Massawa are:
3.1 Testing the Existing Traffic of WAN
To examine the performance of the typical WAN traffic (e.g. through Asmara
LAN and Massawa LAN) via single path capacity link (19200 bps) and dual
path capacity link (9600 bps) we use the following tools and method:
3.1.1 Data collection
The data used for analysis are captured in August and September 2005
between the two LANs.
3.1.2 Method
To study the performance of WAN traffic between Asmara LAN and
Massawa LAN, M/M/1 single path and M/M/2 for dual path queuing models
were used.
3.2 Simulation Tools: the OPNET Modeler
To study the performance of VoIP through packet loss and delay
parameters the OPNET Modeler simulation program was used.
3.2.1 R-value
E-Model defines the “R” value as the measure of voice quality. The
International Telecommunication Union (ITU) and the
Telecommunication Industries Association (TIA) have both approved
the E-Model for use. R is the general parameter that is used to define
voice quality. Figure 2.0 shows a comparison of R values and Mean
Opinion Score (MOS) levels.
Figure 2.0 E-model- VoIP Quality Classification
.
3.2.2 Simulation of VoIP between Asmara LAN and Massawa LAN
The purpose of this scenario was to study the performance of Voice over
Internet Protocol (VOIP) with only voice on WAN between Asmara LAN
and Massawa LAN through OPNET Modeler simulation program. The
distance between Asmara LAN and Massawa LAN is 115 km. The
technologies used for this purpose were star topology with switch
connection and Gateway Router, 10BaseT for each LAN, 28 kbps, 33
kbps, 64 kbps, and 128 kbps capacity links between Asmara LAN and
Massawa LAN and speech coder parameters as shown in Table 3.1.
Figure 3.1 described the simulation model.
Figure 3.1 Model for VoIP between Asmara LAN and Massawa LAN
3.2.3 Simulation of VoIP between Asmara LANs and Massawa LANs (Total
traffic)
The purpose of this scenario was to study the performance of Voice over
Internet Protocol (VOIP) with voice and data on WAN between Asmara
LANs and Massawa LANs total traffic through OPNET Modeler
simulation program. The distance between Asmara LAN and Massawa
LAN is 115 km. The technologies used for this purpose were star
topology with switch connection and Gateway Router, 10BaseT for each
LAN, 256 kbps capacity link between Asmara LANs and Massawa LANS
with speech coder parameters as shown in Table 3.1. Figure 3.2
described the simulation model.
Figure 3.2 Total traffic of WAN simulation model between Asmara LANs and Massawa
4) Discuss the traffic analysis results of WAN between Asmara and
Massawa LANs (Measurements)
The traffic analysis results and discussion of single and dual path are
described in sections 4.1 and 4.2.
4.1 Single path traffic analysis (from measurement)
In order to analyze the single link measured traffic for August 2005 we
highlight three typical days (1st, 10th and 20th of August 2005) and at the
daily busy hour in August 2005, to study the performance of the WAN
between Asmara and Massawa. The traffic is measured based on 20 users as
the size of LAN in both areas (Asmara and Massawa). From the analysis of
the single path capacity we found the average of the service rate () is equal
to 1.6 packet/sec. Figure 4.1 and Table 4.1 describe the traffic on different
days and the daily busy hour in August 2005.
Table 4.1 traffic in single path at busy hour of each day
during August 2005
Throughput analysis results in single path Packet loss analysis result in single path
Delay analysis result in single path
4.2 Dual path traffic analysis (from measurement)
From the analysis results of dual link measured traffic for September 2005 we
again select three typical days (1st, 10th and 20th of September 2005) and
the daily busy hour of September 2005 to study the performance of the WAN
between Asmara and Massawa. The traffic is measured based on 20 users as
the size of LAN in both areas (Asmara and Massawa). From the analysis of
the dual path capacity we found the average of the service rate () is equal to
0.8 packet/sec. Figure 4.2 and Table 4.2 describe the traffic on different days
and the daily busy hour in September 2005.
Table 4.2 traffic in dual path at busy hour
of each day during September 2005
Throughput analysis result in dual path Packet loss analysis result in dual path
Delay analysis result in dual path
4.3 Summary4.3 Summary
We discussed the performance of WAN between Asmara and Massawa
using measured traffic of single and dual link by highlighting three typical
days and daily busy traffic hours from August to September 2005. The study
found that the performance of WAN with both single and dual links shows a
weak performance based on 0.00912 high packet loss ratio and 1.336 second
high delay in the queue for single link, and 0.00418 high packet loss ratio
and 0.336 second high delay in the queue for dual link.
5.1 Discuss the Simulation Result5.1 Discuss the Simulation Result of VoIP between Asmara and Massawa LANsof VoIP between Asmara and Massawa LANs
with voicewith voice
We study the performance of VoIP with voice through a WAN between theWe study the performance of VoIP with voice through a WAN between the
Asmara LAN and the Massawa LAN using 28 kbps, 33 kbps, 64 kbps, andAsmara LAN and the Massawa LAN using 28 kbps, 33 kbps, 64 kbps, and
128 kbps capacity links with G723.1, G729A, and G711 as described in Table128 kbps capacity links with G723.1, G729A, and G711 as described in Table
5.15.1
Table 5.1 described the speech coders function.
5.1.1 Performance of VoIP with 28kbps
5.1.2 Performance of VoIP with 33 kbps
1.3 Performance of VoIP with 64 kbps
1.4 Performance of VoIP with 128 kbps
5.2 Discuss the Simulation Result5.2 Discuss the Simulation Result of VoIP between Asmara and Massawa LANsof VoIP between Asmara and Massawa LANs
with voice and datawith voice and data
In this section, we are looking at the performance of VoIP with voice andIn this section, we are looking at the performance of VoIP with voice and
data through different cases as shown in Table 5.9, using the total traffic ofdata through different cases as shown in Table 5.9, using the total traffic of
Asmara LANs and Massawa LANs with 256 kbps WAN capacity link toAsmara LANs and Massawa LANs with 256 kbps WAN capacity link to
determine the best speech coder with 256 kbps.determine the best speech coder with 256 kbps.
5.2.1Case 1 (Performance of VoIP with 10 % Voice and 90 % Data)
2.2 Case 2 (Performance of VoIP with 20 % Voice and 80 % Data)
2.3 Case 3 (Performance of VoIP with 30 % Voice and 70 % Data)
2.4 Case 4 (Performance of VoIP with 40 % Voice and 60 % Data)
2.5 Case 5 (Performance of VoIP with 50 % Voice and 50 % Data)
5.3 Increased WAN Traffic
In this section, we simulate the performance of the link for a capacity of 512
kbps for mixed traffic ratios of 40 % voice and 60 % data and 50 % voice and 50
% data. The link used has a capacity of 256 kbps, giving = 0.953. This is high.
With an assumed annual traffic growth rate of 10 %, after 1 year, the traffic
offered would be 270.4 kbps, which is greater than the channel capacity.
Normally, a value of ~0.6-0.7 is recommended. . Thus we should have a link of
512 kbps up to year 4 when the traffic is projected to be 375 kbps giving
=0.6977. For years 5-10 the traffic will range 395- 633 kbps, and therefore the
link capacity should be raised to 1 Mbps (~ 0.39 for year 5 and ~ 0.63 for year
10).
In this section, we simulate the performance of the link for a capacity of 512
kbps for mixed traffic ratios of 40 % voice and 60 % data and 50 % voice and
50 % data. The simulation results of Case 6 and Case 7 are described in
sections 5.3.1 and 5.3.2.
5.3.1 Case 6 (Performance of VoIP with 40 % Voice and 60 % Data via 512
kbps)
3.2 Case 7 (Performance of VoIP with 50 % Voice and 50 % Data via 512 kbps)
5. 4 Summary
The study found the performance of VoIP between the Asmara LAN and the
Massawa LAN with 28 kbps to be unacceptable based on high delay above 400
ms and high packet loss ratio for all speech coders and low quality of service
with speech coders based on R-value less than 70 with all speech coders. The
study also found the performance of VoIP between Asmara LAN and Massawa
LAN with 33 kbps to 128 kbps acceptable based on low delay (below 200 ms)
and low packet loss ratio for all speech coders and high quality of service based
on R-value results greater than 80 for all speech coders. Finally the study found
the 128 kbps links with the G723.1 had the most calls (24.1).
We also studied the performance of VoIP with voice and data through
different cases using the total traffic of the Asmara LANs and the Massawa
LANs with 256 kbps capacity link of WAN to determine the best speech
coder with 256 kbps. The study found that the G729A coder achieves the
target of study based on the quality of service (R-value greater than 80) with
Case 1, Case 2, and Case 3. The study also found that the R-value decreases
with 50% voice and 50 % data and gave low quality of service. Based on the
simulation result of increasing the traffic to 395 kbps between Asmara LANs
and Massawa LANs with 512 kbps capacity links of WAN, the study found
that the G729A coder achieves the target of study based on the quality of
service (R-value grater than 80) with Case 6 and Case 7. On the other hand,
the G723.1 coder gives 37.2 calls for an R value of 79 (a delay of 248 ms) for
the same traffic ratio. Thus, for the Eritrea network , the G723.1 encoder
would be preferred for 256 kbps and 512 kbps trunks, since it offer the
highest number of calls for the loading ratio considered, while also offering
good quality of service.
6) Conclusion
In the first part, The study found that the performance of WAN with both
single and dual links shows a weak performance based on 0.00912 high packet
loss ratio and 1.336 second high delay in the queue for single link, and
0.00418 high packet loss ratio and 0.336 second high delay in the queue for
dual link. In the second part, The study found the performance of VoIP
between the Asmara LAN and the Massawa LAN with 28 kbps to be
unacceptable based on high delay above 400 ms and high packet loss ratio for
all speech coders and low quality of service with speech coders based on R-
value less than 70 with all speech coders .
The study also found the performance of VoIP between Asmara LAN and
Massawa LAN with 33 kbps to 128 kbps acceptable based on low delay
(below 200 ms) and low packet loss ratio for all speech coders and high
quality of service based on R-value results greater than 80 for all speech
coders. Finally the study found the 128 kbps links with the G723.1 had the
most calls (24.1).
We also studied the performance of VoIP with voice and data through
different cases using the total traffic of the Asmara LANs and the Massawa
LANs with 256 kbps capacity link of WAN to determine the best speech
coder with 256 kbps. The study found that the G729A coder achieves the
target of study based on the quality of service (R-value greater than 80) with
Case 1, Case 2, and Case 3. The study also found that the R-value decreases
with 50% voice and 50 % data and gave low quality of service.
Based on the simulation result of increasing the traffic to 395 kbps between
Asmara LANs and Massawa LANs with 512 kbps capacity links of WAN,
the study found that the G729A coder achieves the target of study based on
the quality of service (R-value grater than 80) with Case 6 and Case 7. On
the other hand, the G723.1 coder gives 37.2 calls for an R value of 79 (a
delay of 248 ms) for the same traffic ratio.
Thank you

More Related Content

What's hot

Sagar Kuchekar_LTE_RF_Optimization Engineer
Sagar Kuchekar_LTE_RF_Optimization EngineerSagar Kuchekar_LTE_RF_Optimization Engineer
Sagar Kuchekar_LTE_RF_Optimization EngineerSagar Kuchekar
 
SDN/NETWORK AUTOMATION THROWDOWN COMPETITION
SDN/NETWORK AUTOMATION THROWDOWN COMPETITIONSDN/NETWORK AUTOMATION THROWDOWN COMPETITION
SDN/NETWORK AUTOMATION THROWDOWN COMPETITIONSiddharth Shah
 
Building a metro ethernet network to deliver high bandwidth internet protocol...
Building a metro ethernet network to deliver high bandwidth internet protocol...Building a metro ethernet network to deliver high bandwidth internet protocol...
Building a metro ethernet network to deliver high bandwidth internet protocol...IRJET Journal
 
Paulo Campolina Resume - Sr RF Engineer 09182016
Paulo Campolina  Resume - Sr RF Engineer 09182016Paulo Campolina  Resume - Sr RF Engineer 09182016
Paulo Campolina Resume - Sr RF Engineer 09182016paulo_campolina
 
Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...
Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...
Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...IJECEIAES
 
BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...
BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...
BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...cscpconf
 
TCP Performance Measurement in GPRS Link Adaptation Process
TCP Performance Measurement in GPRS Link Adaptation ProcessTCP Performance Measurement in GPRS Link Adaptation Process
TCP Performance Measurement in GPRS Link Adaptation ProcessCSCJournals
 
4 g americas white paper the evolution of hspa_october 2011x
4 g americas white paper the evolution of hspa_october 2011x4 g americas white paper the evolution of hspa_october 2011x
4 g americas white paper the evolution of hspa_october 2011xHaytham Dardiry
 
International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)inventionjournals
 
Throughput Performance Analysis VOIP over LTE
Throughput Performance Analysis VOIP over LTEThroughput Performance Analysis VOIP over LTE
Throughput Performance Analysis VOIP over LTEiosrjce
 
Mask Lte Planning Tool
Mask Lte Planning ToolMask Lte Planning Tool
Mask Lte Planning ToolAmr BARAKAT
 
Union meeting nov_2010_wb.32870522
Union meeting nov_2010_wb.32870522Union meeting nov_2010_wb.32870522
Union meeting nov_2010_wb.32870522Juman Mohammed Azad
 
Edwin Hernandez Presentation for Local Computer Networks n 2004
Edwin Hernandez Presentation for Local Computer Networks n 2004Edwin Hernandez Presentation for Local Computer Networks n 2004
Edwin Hernandez Presentation for Local Computer Networks n 2004Dr. Edwin Hernandez
 

What's hot (19)

Sagar Kuchekar_LTE_RF_Optimization Engineer
Sagar Kuchekar_LTE_RF_Optimization EngineerSagar Kuchekar_LTE_RF_Optimization Engineer
Sagar Kuchekar_LTE_RF_Optimization Engineer
 
SDN/NETWORK AUTOMATION THROWDOWN COMPETITION
SDN/NETWORK AUTOMATION THROWDOWN COMPETITIONSDN/NETWORK AUTOMATION THROWDOWN COMPETITION
SDN/NETWORK AUTOMATION THROWDOWN COMPETITION
 
Building a metro ethernet network to deliver high bandwidth internet protocol...
Building a metro ethernet network to deliver high bandwidth internet protocol...Building a metro ethernet network to deliver high bandwidth internet protocol...
Building a metro ethernet network to deliver high bandwidth internet protocol...
 
Paulo Campolina Resume - Sr RF Engineer 09182016
Paulo Campolina  Resume - Sr RF Engineer 09182016Paulo Campolina  Resume - Sr RF Engineer 09182016
Paulo Campolina Resume - Sr RF Engineer 09182016
 
LTE NETWORK OPTIMIZATION FOR URBAN AREA AT TAIZ CITY
LTE NETWORK OPTIMIZATION FOR  URBAN AREA AT TAIZ CITYLTE NETWORK OPTIMIZATION FOR  URBAN AREA AT TAIZ CITY
LTE NETWORK OPTIMIZATION FOR URBAN AREA AT TAIZ CITY
 
Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...
Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...
Performance evaluation of the IEEE 802.11n random topology WLAN with QoS appl...
 
BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...
BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...
BULK BINDING UPDATE PROCEDURE FOR PMIPV6 BASED INTELLIGENT TRANSPORTATION SYS...
 
VoMPLS-A paper
VoMPLS-A paperVoMPLS-A paper
VoMPLS-A paper
 
Chapter 6 v6.0
Chapter 6 v6.0Chapter 6 v6.0
Chapter 6 v6.0
 
TCP Performance Measurement in GPRS Link Adaptation Process
TCP Performance Measurement in GPRS Link Adaptation ProcessTCP Performance Measurement in GPRS Link Adaptation Process
TCP Performance Measurement in GPRS Link Adaptation Process
 
4 g americas white paper the evolution of hspa_october 2011x
4 g americas white paper the evolution of hspa_october 2011x4 g americas white paper the evolution of hspa_october 2011x
4 g americas white paper the evolution of hspa_october 2011x
 
International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)International Journal of Engineering and Science Invention (IJESI)
International Journal of Engineering and Science Invention (IJESI)
 
Throughput Performance Analysis VOIP over LTE
Throughput Performance Analysis VOIP over LTEThroughput Performance Analysis VOIP over LTE
Throughput Performance Analysis VOIP over LTE
 
Mask Lte Planning Tool
Mask Lte Planning ToolMask Lte Planning Tool
Mask Lte Planning Tool
 
Lte optimization
Lte optimizationLte optimization
Lte optimization
 
Union meeting nov_2010_wb.32870522
Union meeting nov_2010_wb.32870522Union meeting nov_2010_wb.32870522
Union meeting nov_2010_wb.32870522
 
Planning and Optimization of LTE Radio Access Network for Urban Area at Taiz ...
Planning and Optimization of LTE Radio Access Network for Urban Area at Taiz ...Planning and Optimization of LTE Radio Access Network for Urban Area at Taiz ...
Planning and Optimization of LTE Radio Access Network for Urban Area at Taiz ...
 
Admission Control Mechanism For Mpls Ds Te
Admission Control Mechanism For Mpls Ds TeAdmission Control Mechanism For Mpls Ds Te
Admission Control Mechanism For Mpls Ds Te
 
Edwin Hernandez Presentation for Local Computer Networks n 2004
Edwin Hernandez Presentation for Local Computer Networks n 2004Edwin Hernandez Presentation for Local Computer Networks n 2004
Edwin Hernandez Presentation for Local Computer Networks n 2004
 

Viewers also liked

Vijay_ICCN-11
Vijay_ICCN-11Vijay_ICCN-11
Vijay_ICCN-11Vijay B T
 
Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2IAEME Publication
 
Design and simulation of wireless local area network for administrative offic...
Design and simulation of wireless local area network for administrative offic...Design and simulation of wireless local area network for administrative offic...
Design and simulation of wireless local area network for administrative offic...Alexander Decker
 
Opnet final year project in ludhiana
Opnet final year project in ludhianaOpnet final year project in ludhiana
Opnet final year project in ludhianadeepikakaler1
 
Modeling, Configuration and Performance Analysis of the customized network us...
Modeling, Configuration and Performance Analysis of the customized network us...Modeling, Configuration and Performance Analysis of the customized network us...
Modeling, Configuration and Performance Analysis of the customized network us...Fatema Zohora
 
Network simulator survey
Network simulator surveyNetwork simulator survey
Network simulator surveyWei Lin
 
Software as Hypothesis: Research-Based Design Methodology
Software as Hypothesis: Research-Based Design MethodologySoftware as Hypothesis: Research-Based Design Methodology
Software as Hypothesis: Research-Based Design MethodologyTeemu Leinonen
 
Software Engineering Methodology
Software Engineering MethodologySoftware Engineering Methodology
Software Engineering MethodologyRajandeep Gill
 
Computer Science MOOCs: a Methodology for the Recording of Videos
Computer Science MOOCs: a Methodology for the Recording of Videos Computer Science MOOCs: a Methodology for the Recording of Videos
Computer Science MOOCs: a Methodology for the Recording of Videos Manuel Castro
 
Mobile Ad Hoc Network of Simulation Framework Based on OPNET
Mobile Ad Hoc Network of Simulation Framework Based on OPNETMobile Ad Hoc Network of Simulation Framework Based on OPNET
Mobile Ad Hoc Network of Simulation Framework Based on OPNETateeq ateeq
 
Research methodology
Research methodologyResearch methodology
Research methodologyRushdi Shams
 
1.introduction to research methodology
1.introduction to research methodology1.introduction to research methodology
1.introduction to research methodologyAsir John Samuel
 
Literature review in research
Literature review in researchLiterature review in research
Literature review in researchNursing Path
 

Viewers also liked (20)

آشنایی با Opnet
آشنایی با Opnetآشنایی با Opnet
آشنایی با Opnet
 
Vijay_ICCN-11
Vijay_ICCN-11Vijay_ICCN-11
Vijay_ICCN-11
 
Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2Performance and handoff evaluation of heterogeneous wireless networks 2
Performance and handoff evaluation of heterogeneous wireless networks 2
 
Design and simulation of wireless local area network for administrative offic...
Design and simulation of wireless local area network for administrative offic...Design and simulation of wireless local area network for administrative offic...
Design and simulation of wireless local area network for administrative offic...
 
Opnet final year project in ludhiana
Opnet final year project in ludhianaOpnet final year project in ludhiana
Opnet final year project in ludhiana
 
Opnet14.04
Opnet14.04Opnet14.04
Opnet14.04
 
Modeling, Configuration and Performance Analysis of the customized network us...
Modeling, Configuration and Performance Analysis of the customized network us...Modeling, Configuration and Performance Analysis of the customized network us...
Modeling, Configuration and Performance Analysis of the customized network us...
 
Qos wlan
Qos wlanQos wlan
Qos wlan
 
Network simulator survey
Network simulator surveyNetwork simulator survey
Network simulator survey
 
Software as Hypothesis: Research-Based Design Methodology
Software as Hypothesis: Research-Based Design MethodologySoftware as Hypothesis: Research-Based Design Methodology
Software as Hypothesis: Research-Based Design Methodology
 
Opnet simulator
Opnet simulatorOpnet simulator
Opnet simulator
 
opnet
opnetopnet
opnet
 
Software Engineering Methodology
Software Engineering MethodologySoftware Engineering Methodology
Software Engineering Methodology
 
Computer Science MOOCs: a Methodology for the Recording of Videos
Computer Science MOOCs: a Methodology for the Recording of Videos Computer Science MOOCs: a Methodology for the Recording of Videos
Computer Science MOOCs: a Methodology for the Recording of Videos
 
Mobile Ad Hoc Network of Simulation Framework Based on OPNET
Mobile Ad Hoc Network of Simulation Framework Based on OPNETMobile Ad Hoc Network of Simulation Framework Based on OPNET
Mobile Ad Hoc Network of Simulation Framework Based on OPNET
 
Research methodology
Research methodologyResearch methodology
Research methodology
 
Research Methodology
Research Methodology  Research Methodology
Research Methodology
 
1.introduction to research methodology
1.introduction to research methodology1.introduction to research methodology
1.introduction to research methodology
 
Research Methodology Lecture for Master & Phd Students
Research Methodology  Lecture for Master & Phd StudentsResearch Methodology  Lecture for Master & Phd Students
Research Methodology Lecture for Master & Phd Students
 
Literature review in research
Literature review in researchLiterature review in research
Literature review in research
 

Similar to Radioaffpre

Performance analysis of voip traffic over integrating wireless lan and wan us...
Performance analysis of voip traffic over integrating wireless lan and wan us...Performance analysis of voip traffic over integrating wireless lan and wan us...
Performance analysis of voip traffic over integrating wireless lan and wan us...ijwmn
 
Investigating the performance of voip over wlan in campus network
Investigating the performance of voip over wlan in campus networkInvestigating the performance of voip over wlan in campus network
Investigating the performance of voip over wlan in campus networkAlexander Decker
 
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
A performance enhancement of physical layer at Wi-MAX  system with RLDPC codeA performance enhancement of physical layer at Wi-MAX  system with RLDPC code
A performance enhancement of physical layer at Wi-MAX system with RLDPC codenooriasukmaningtyas
 
Paper id 21201485
Paper id 21201485Paper id 21201485
Paper id 21201485IJRAT
 
Bit Error Rate Analysis in WiMAX Communication at Vehicular Speeds using mod...
Bit Error Rate Analysis in WiMAX Communication at Vehicular  Speeds using mod...Bit Error Rate Analysis in WiMAX Communication at Vehicular  Speeds using mod...
Bit Error Rate Analysis in WiMAX Communication at Vehicular Speeds using mod...IJMER
 
Simulation of Wimax 802.16E Physical Layermodel
Simulation of Wimax 802.16E Physical LayermodelSimulation of Wimax 802.16E Physical Layermodel
Simulation of Wimax 802.16E Physical LayermodelIOSR Journals
 
OPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEME
OPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEMEOPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEME
OPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEMEIJCNCJournal
 
Performance Comparison of Different Mobility Model on Topology Managed MANET
Performance Comparison of Different Mobility Model on Topology Managed MANETPerformance Comparison of Different Mobility Model on Topology Managed MANET
Performance Comparison of Different Mobility Model on Topology Managed MANETEswar Publications
 
ON THE SUPPORT OF MULTIMEDIA APPLICATIONS OVER WIRELESS MESH NETWORKS
ON THE SUPPORT OF MULTIMEDIA APPLICATIONS  OVER WIRELESS MESH NETWORKS ON THE SUPPORT OF MULTIMEDIA APPLICATIONS  OVER WIRELESS MESH NETWORKS
ON THE SUPPORT OF MULTIMEDIA APPLICATIONS OVER WIRELESS MESH NETWORKS ijwmn
 
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ijngnjournal
 
Analysis of VoIP Traffic in WiMAX Environment
Analysis of VoIP Traffic in WiMAX EnvironmentAnalysis of VoIP Traffic in WiMAX Environment
Analysis of VoIP Traffic in WiMAX EnvironmentEditor IJMTER
 
Ftp and database statistics in wireless network environment for web client 2
Ftp and database statistics in wireless network environment for web client 2Ftp and database statistics in wireless network environment for web client 2
Ftp and database statistics in wireless network environment for web client 2IAEME Publication
 
ANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORK
ANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORKANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORK
ANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORKIJCSIT Journal
 
Optical ethernet krunal
Optical ethernet krunalOptical ethernet krunal
Optical ethernet krunalKrunal Jabade
 
Interference-Aware Multipath Routing In Wireless Sensor NetworksMinor projr...
Interference-Aware Multipath Routing In  Wireless Sensor NetworksMinor  projr...Interference-Aware Multipath Routing In  Wireless Sensor NetworksMinor  projr...
Interference-Aware Multipath Routing In Wireless Sensor NetworksMinor projr...Rakesh Behera
 
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...IJMER
 
WAVE and 802.11p models evaluation in NS3 simulation environment
WAVE and 802.11p models evaluation in NS3 simulation environmentWAVE and 802.11p models evaluation in NS3 simulation environment
WAVE and 802.11p models evaluation in NS3 simulation environmentYaroslav Domaratsky
 
Newton-raphson method to solve systems of non-linear equations in VANET perfo...
Newton-raphson method to solve systems of non-linear equations in VANET perfo...Newton-raphson method to solve systems of non-linear equations in VANET perfo...
Newton-raphson method to solve systems of non-linear equations in VANET perfo...journalBEEI
 

Similar to Radioaffpre (20)

Performance analysis of voip traffic over integrating wireless lan and wan us...
Performance analysis of voip traffic over integrating wireless lan and wan us...Performance analysis of voip traffic over integrating wireless lan and wan us...
Performance analysis of voip traffic over integrating wireless lan and wan us...
 
Investigating the performance of voip over wlan in campus network
Investigating the performance of voip over wlan in campus networkInvestigating the performance of voip over wlan in campus network
Investigating the performance of voip over wlan in campus network
 
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
A performance enhancement of physical layer at Wi-MAX  system with RLDPC codeA performance enhancement of physical layer at Wi-MAX  system with RLDPC code
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
 
Paper id 21201485
Paper id 21201485Paper id 21201485
Paper id 21201485
 
Bit Error Rate Analysis in WiMAX Communication at Vehicular Speeds using mod...
Bit Error Rate Analysis in WiMAX Communication at Vehicular  Speeds using mod...Bit Error Rate Analysis in WiMAX Communication at Vehicular  Speeds using mod...
Bit Error Rate Analysis in WiMAX Communication at Vehicular Speeds using mod...
 
Simulation of Wimax 802.16E Physical Layermodel
Simulation of Wimax 802.16E Physical LayermodelSimulation of Wimax 802.16E Physical Layermodel
Simulation of Wimax 802.16E Physical Layermodel
 
OPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEME
OPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEMEOPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEME
OPTIMIZING VOIP USING A CROSS LAYER CALL ADMISSION CONTROL SCHEME
 
www.ijerd.com
www.ijerd.comwww.ijerd.com
www.ijerd.com
 
Performance Comparison of Different Mobility Model on Topology Managed MANET
Performance Comparison of Different Mobility Model on Topology Managed MANETPerformance Comparison of Different Mobility Model on Topology Managed MANET
Performance Comparison of Different Mobility Model on Topology Managed MANET
 
ON THE SUPPORT OF MULTIMEDIA APPLICATIONS OVER WIRELESS MESH NETWORKS
ON THE SUPPORT OF MULTIMEDIA APPLICATIONS  OVER WIRELESS MESH NETWORKS ON THE SUPPORT OF MULTIMEDIA APPLICATIONS  OVER WIRELESS MESH NETWORKS
ON THE SUPPORT OF MULTIMEDIA APPLICATIONS OVER WIRELESS MESH NETWORKS
 
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
 
Performance Analysis of WiMAX Based Vehicular Ad hoc Networks with Realistic ...
Performance Analysis of WiMAX Based Vehicular Ad hoc Networks with Realistic ...Performance Analysis of WiMAX Based Vehicular Ad hoc Networks with Realistic ...
Performance Analysis of WiMAX Based Vehicular Ad hoc Networks with Realistic ...
 
Analysis of VoIP Traffic in WiMAX Environment
Analysis of VoIP Traffic in WiMAX EnvironmentAnalysis of VoIP Traffic in WiMAX Environment
Analysis of VoIP Traffic in WiMAX Environment
 
Ftp and database statistics in wireless network environment for web client 2
Ftp and database statistics in wireless network environment for web client 2Ftp and database statistics in wireless network environment for web client 2
Ftp and database statistics in wireless network environment for web client 2
 
ANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORK
ANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORKANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORK
ANALYSIS OF ROUTING PROTOCOLS IN WIRELESS MESH NETWORK
 
Optical ethernet krunal
Optical ethernet krunalOptical ethernet krunal
Optical ethernet krunal
 
Interference-Aware Multipath Routing In Wireless Sensor NetworksMinor projr...
Interference-Aware Multipath Routing In  Wireless Sensor NetworksMinor  projr...Interference-Aware Multipath Routing In  Wireless Sensor NetworksMinor  projr...
Interference-Aware Multipath Routing In Wireless Sensor NetworksMinor projr...
 
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
 
WAVE and 802.11p models evaluation in NS3 simulation environment
WAVE and 802.11p models evaluation in NS3 simulation environmentWAVE and 802.11p models evaluation in NS3 simulation environment
WAVE and 802.11p models evaluation in NS3 simulation environment
 
Newton-raphson method to solve systems of non-linear equations in VANET perfo...
Newton-raphson method to solve systems of non-linear equations in VANET perfo...Newton-raphson method to solve systems of non-linear equations in VANET perfo...
Newton-raphson method to solve systems of non-linear equations in VANET perfo...
 

Radioaffpre

  • 1. Study of Viability of VoIP on EritreanStudy of Viability of VoIP on Eritrean WAN EnvironmentWAN Environment Prepared BY Osman Kakay University of KwaZulu Natal Howard Collage Campus, Durban South Africa In Radio Access and Rural TechnologiesIn Radio Access and Rural Technologies Centre of ExcellenceCentre of Excellence  /  (031) 260-7008  http://coe.ukzn.ac.za
  • 2. 1)1) INTRODUCTIONINTRODUCTION Voice over IP (VoIP) is an emerging technology that utilizes the Internet to exchange voice through digital data packets. The benefits of creating one infrastructure to support all forms of communication are undeniable. VoIP shares the same network with data, effectively consolidating bandwidth by sending packets to any available path at any given time resulting in more efficient use of the network. In addition to the cost reduction achieved by the sharing of network resources, VoIP is expected to accelerate the development of rich multimedia service. Figure 1. Sample of VoIP network
  • 3. In the first part the paper addressing the performance of WAN through measured traffic between Asmara and Massawa LANs. This is achieved from the analysis of single path (19200 bps) and dual path (9600 bps) traffic, the throughput, and packet loss parameters. The traffic analysis results and discussion of single and dual path are described in section 2.1 and 2.2. In the second part the paper addressing the performance of VoIP in the Eritrean environment using an OPNET Modeler program to simulate the performance of VoIP via delay and packet loss parameters to calculate R-value using E-Model for the quality of service (QoS).
  • 4. 2) Objectives2) Objectives  To Examine the performance of WAN between Asmara and Massawa LANs. This is achieved from the analysis of single path (19200 bps) and dual path (9600 bps). Traffic, the throughput, and packet loss are the key factors to analyze the measurements results.  Examine the performance of VoIP with voice using the WAN between Asmara LAN and Massawa LAN with 28 kbps, 33 kbps, 64 kbps, 128 kbps to determine the cheapest and highest quality acceptable link that can support the speech coder with most calls. Delay and packet loss are the key factors to analyze the simulation result.  To determine the best coder with 256 kbps through the performance of VoIP with voice and data using the total traffic of WAN between the Asmara LANs and Massawa LANs. Delay and packet loss are the key factors to analyze the simulation result.
  • 5. 3) Method3) Method The tools and method used for analyzing the performance of WAN between Asmara and Massawa are: 3.1 Testing the Existing Traffic of WAN To examine the performance of the typical WAN traffic (e.g. through Asmara LAN and Massawa LAN) via single path capacity link (19200 bps) and dual path capacity link (9600 bps) we use the following tools and method: 3.1.1 Data collection The data used for analysis are captured in August and September 2005 between the two LANs. 3.1.2 Method To study the performance of WAN traffic between Asmara LAN and Massawa LAN, M/M/1 single path and M/M/2 for dual path queuing models were used.
  • 6. 3.2 Simulation Tools: the OPNET Modeler To study the performance of VoIP through packet loss and delay parameters the OPNET Modeler simulation program was used. 3.2.1 R-value E-Model defines the “R” value as the measure of voice quality. The International Telecommunication Union (ITU) and the Telecommunication Industries Association (TIA) have both approved the E-Model for use. R is the general parameter that is used to define voice quality. Figure 2.0 shows a comparison of R values and Mean Opinion Score (MOS) levels. Figure 2.0 E-model- VoIP Quality Classification
  • 7. . 3.2.2 Simulation of VoIP between Asmara LAN and Massawa LAN The purpose of this scenario was to study the performance of Voice over Internet Protocol (VOIP) with only voice on WAN between Asmara LAN and Massawa LAN through OPNET Modeler simulation program. The distance between Asmara LAN and Massawa LAN is 115 km. The technologies used for this purpose were star topology with switch connection and Gateway Router, 10BaseT for each LAN, 28 kbps, 33 kbps, 64 kbps, and 128 kbps capacity links between Asmara LAN and Massawa LAN and speech coder parameters as shown in Table 3.1. Figure 3.1 described the simulation model. Figure 3.1 Model for VoIP between Asmara LAN and Massawa LAN
  • 8. 3.2.3 Simulation of VoIP between Asmara LANs and Massawa LANs (Total traffic) The purpose of this scenario was to study the performance of Voice over Internet Protocol (VOIP) with voice and data on WAN between Asmara LANs and Massawa LANs total traffic through OPNET Modeler simulation program. The distance between Asmara LAN and Massawa LAN is 115 km. The technologies used for this purpose were star topology with switch connection and Gateway Router, 10BaseT for each LAN, 256 kbps capacity link between Asmara LANs and Massawa LANS with speech coder parameters as shown in Table 3.1. Figure 3.2 described the simulation model. Figure 3.2 Total traffic of WAN simulation model between Asmara LANs and Massawa
  • 9. 4) Discuss the traffic analysis results of WAN between Asmara and Massawa LANs (Measurements) The traffic analysis results and discussion of single and dual path are described in sections 4.1 and 4.2. 4.1 Single path traffic analysis (from measurement) In order to analyze the single link measured traffic for August 2005 we highlight three typical days (1st, 10th and 20th of August 2005) and at the daily busy hour in August 2005, to study the performance of the WAN between Asmara and Massawa. The traffic is measured based on 20 users as the size of LAN in both areas (Asmara and Massawa). From the analysis of the single path capacity we found the average of the service rate () is equal to 1.6 packet/sec. Figure 4.1 and Table 4.1 describe the traffic on different days and the daily busy hour in August 2005.
  • 10. Table 4.1 traffic in single path at busy hour of each day during August 2005
  • 11. Throughput analysis results in single path Packet loss analysis result in single path Delay analysis result in single path
  • 12. 4.2 Dual path traffic analysis (from measurement) From the analysis results of dual link measured traffic for September 2005 we again select three typical days (1st, 10th and 20th of September 2005) and the daily busy hour of September 2005 to study the performance of the WAN between Asmara and Massawa. The traffic is measured based on 20 users as the size of LAN in both areas (Asmara and Massawa). From the analysis of the dual path capacity we found the average of the service rate () is equal to 0.8 packet/sec. Figure 4.2 and Table 4.2 describe the traffic on different days and the daily busy hour in September 2005. Table 4.2 traffic in dual path at busy hour of each day during September 2005
  • 13. Throughput analysis result in dual path Packet loss analysis result in dual path Delay analysis result in dual path
  • 14. 4.3 Summary4.3 Summary We discussed the performance of WAN between Asmara and Massawa using measured traffic of single and dual link by highlighting three typical days and daily busy traffic hours from August to September 2005. The study found that the performance of WAN with both single and dual links shows a weak performance based on 0.00912 high packet loss ratio and 1.336 second high delay in the queue for single link, and 0.00418 high packet loss ratio and 0.336 second high delay in the queue for dual link.
  • 15. 5.1 Discuss the Simulation Result5.1 Discuss the Simulation Result of VoIP between Asmara and Massawa LANsof VoIP between Asmara and Massawa LANs with voicewith voice We study the performance of VoIP with voice through a WAN between theWe study the performance of VoIP with voice through a WAN between the Asmara LAN and the Massawa LAN using 28 kbps, 33 kbps, 64 kbps, andAsmara LAN and the Massawa LAN using 28 kbps, 33 kbps, 64 kbps, and 128 kbps capacity links with G723.1, G729A, and G711 as described in Table128 kbps capacity links with G723.1, G729A, and G711 as described in Table 5.15.1 Table 5.1 described the speech coders function.
  • 16. 5.1.1 Performance of VoIP with 28kbps 5.1.2 Performance of VoIP with 33 kbps
  • 17. 1.3 Performance of VoIP with 64 kbps 1.4 Performance of VoIP with 128 kbps
  • 18. 5.2 Discuss the Simulation Result5.2 Discuss the Simulation Result of VoIP between Asmara and Massawa LANsof VoIP between Asmara and Massawa LANs with voice and datawith voice and data In this section, we are looking at the performance of VoIP with voice andIn this section, we are looking at the performance of VoIP with voice and data through different cases as shown in Table 5.9, using the total traffic ofdata through different cases as shown in Table 5.9, using the total traffic of Asmara LANs and Massawa LANs with 256 kbps WAN capacity link toAsmara LANs and Massawa LANs with 256 kbps WAN capacity link to determine the best speech coder with 256 kbps.determine the best speech coder with 256 kbps.
  • 19. 5.2.1Case 1 (Performance of VoIP with 10 % Voice and 90 % Data) 2.2 Case 2 (Performance of VoIP with 20 % Voice and 80 % Data)
  • 20. 2.3 Case 3 (Performance of VoIP with 30 % Voice and 70 % Data) 2.4 Case 4 (Performance of VoIP with 40 % Voice and 60 % Data)
  • 21. 2.5 Case 5 (Performance of VoIP with 50 % Voice and 50 % Data) 5.3 Increased WAN Traffic In this section, we simulate the performance of the link for a capacity of 512 kbps for mixed traffic ratios of 40 % voice and 60 % data and 50 % voice and 50 % data. The link used has a capacity of 256 kbps, giving = 0.953. This is high. With an assumed annual traffic growth rate of 10 %, after 1 year, the traffic offered would be 270.4 kbps, which is greater than the channel capacity. Normally, a value of ~0.6-0.7 is recommended. . Thus we should have a link of 512 kbps up to year 4 when the traffic is projected to be 375 kbps giving =0.6977. For years 5-10 the traffic will range 395- 633 kbps, and therefore the link capacity should be raised to 1 Mbps (~ 0.39 for year 5 and ~ 0.63 for year 10).
  • 22. In this section, we simulate the performance of the link for a capacity of 512 kbps for mixed traffic ratios of 40 % voice and 60 % data and 50 % voice and 50 % data. The simulation results of Case 6 and Case 7 are described in sections 5.3.1 and 5.3.2. 5.3.1 Case 6 (Performance of VoIP with 40 % Voice and 60 % Data via 512 kbps)
  • 23. 3.2 Case 7 (Performance of VoIP with 50 % Voice and 50 % Data via 512 kbps) 5. 4 Summary The study found the performance of VoIP between the Asmara LAN and the Massawa LAN with 28 kbps to be unacceptable based on high delay above 400 ms and high packet loss ratio for all speech coders and low quality of service with speech coders based on R-value less than 70 with all speech coders. The study also found the performance of VoIP between Asmara LAN and Massawa LAN with 33 kbps to 128 kbps acceptable based on low delay (below 200 ms) and low packet loss ratio for all speech coders and high quality of service based on R-value results greater than 80 for all speech coders. Finally the study found the 128 kbps links with the G723.1 had the most calls (24.1).
  • 24. We also studied the performance of VoIP with voice and data through different cases using the total traffic of the Asmara LANs and the Massawa LANs with 256 kbps capacity link of WAN to determine the best speech coder with 256 kbps. The study found that the G729A coder achieves the target of study based on the quality of service (R-value greater than 80) with Case 1, Case 2, and Case 3. The study also found that the R-value decreases with 50% voice and 50 % data and gave low quality of service. Based on the simulation result of increasing the traffic to 395 kbps between Asmara LANs and Massawa LANs with 512 kbps capacity links of WAN, the study found that the G729A coder achieves the target of study based on the quality of service (R-value grater than 80) with Case 6 and Case 7. On the other hand, the G723.1 coder gives 37.2 calls for an R value of 79 (a delay of 248 ms) for the same traffic ratio. Thus, for the Eritrea network , the G723.1 encoder would be preferred for 256 kbps and 512 kbps trunks, since it offer the highest number of calls for the loading ratio considered, while also offering good quality of service.
  • 25. 6) Conclusion In the first part, The study found that the performance of WAN with both single and dual links shows a weak performance based on 0.00912 high packet loss ratio and 1.336 second high delay in the queue for single link, and 0.00418 high packet loss ratio and 0.336 second high delay in the queue for dual link. In the second part, The study found the performance of VoIP between the Asmara LAN and the Massawa LAN with 28 kbps to be unacceptable based on high delay above 400 ms and high packet loss ratio for all speech coders and low quality of service with speech coders based on R- value less than 70 with all speech coders . The study also found the performance of VoIP between Asmara LAN and Massawa LAN with 33 kbps to 128 kbps acceptable based on low delay (below 200 ms) and low packet loss ratio for all speech coders and high quality of service based on R-value results greater than 80 for all speech coders. Finally the study found the 128 kbps links with the G723.1 had the most calls (24.1).
  • 26. We also studied the performance of VoIP with voice and data through different cases using the total traffic of the Asmara LANs and the Massawa LANs with 256 kbps capacity link of WAN to determine the best speech coder with 256 kbps. The study found that the G729A coder achieves the target of study based on the quality of service (R-value greater than 80) with Case 1, Case 2, and Case 3. The study also found that the R-value decreases with 50% voice and 50 % data and gave low quality of service. Based on the simulation result of increasing the traffic to 395 kbps between Asmara LANs and Massawa LANs with 512 kbps capacity links of WAN, the study found that the G729A coder achieves the target of study based on the quality of service (R-value grater than 80) with Case 6 and Case 7. On the other hand, the G723.1 coder gives 37.2 calls for an R value of 79 (a delay of 248 ms) for the same traffic ratio.