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50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
50120130406009 2
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50120130406009 2

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  • 1. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME TECHNOLOGY (IJCET) ISSN 0976 – 6367(Print) ISSN 0976 – 6375(Online) Volume 4, Issue 6, November - December (2013), pp. 83-94 © IAEME: www.iaeme.com/ijcet.asp Journal Impact Factor (2013): 6.1302 (Calculated by GISI) www.jifactor.com IJCET ©IAEME ANALYSIS THE IMPROVEMENT PERFORMANCE OF WLAN STANDARDS FOR MULTIMEDIA APPLICATIONS WITH MULTIPLE SUBNET SCENARIOS Dr. Adnan Hussein Ali* Dr. Hassan S. Hamad** Amal Ibrahim Mahmood* *College of Electrical & Electronics Engineering Techniques - Baghdad **Tech. Trainers preparing Institute - Baghdad ABSTRACT As the rapid growth of multimedia application over Internet, it is required to maintain the Quality of Service (QoS), which is ensuring the guaranteed service through Internet and representing the biggest challenges for the current IP based service. Multimedia traffic usage has been increased in relation to the streaming media such as video conferencing. By using OPNET, the performance can be simulated having heavy and light scenarios for video conferencing including web traffic.The overall WLAN load data is obtained for such scenarios, further we also measured the performance of Simulated Overall Delay in the Three scenario Networks. 1. INTRODUCTION The wireless networks can be used to provide network connectivity nearly anywhere, it provides large companies with an option to connect the usual wired networks to the new wireless network without any problems and allows user the option to use any type of applications regardless of its source or dealers [1]. Future Wireless local area networks(WLAN) enable people mobility to communicate with everybody in the world at any time with a set of multimedia services. However, the performance of the WLAN is a major factor in spreading and the use of such technologies, as well as WLAN be more bandwidth limited as compared with the wired networks because they supported on an inexpensive, physical medium (air). The exponential growth of cellular telephones and mobile systems coupled with spreading of laptops and PDAs indicate a bright future for such networks both as an independent as well as network infrastructures[2].So that it is important to recover their performance. The limited use of standard and off-the-shelf technologies poses serious limits related inter operability; moreover, many jurisdictions still use outdated equipment or 83
  • 2. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME infrastructures (e.g., analog radios, used to provide only voice service), which can’t enable an effective emergency response now. Hence, the design of a modern public safety system, and of a framework emergency network architecture, requires to carefully consider the support to several different applications and services, together with state-of-the-art ICT technologies. This can be translated into the finding of the best set of applications and technologies that can provide the most effective response to crisis events. Consequently, we represents a preliminary work regarding the study of the performance achievable by a network architecture and by the considered communication technologies, in terms of Quality of Service QoS. More in detail, identified the communication services necessary to be provided in any network and analyzed them in order to determine their band width requirements. Then, the next step has consisted in simulative tests in order to assess if each network segment composing the proposed architecture, as well as the proposed communication technologies, can effectively support all the considered emergency network services, providing adequate QoS [3]. These results could be used to practically implement call admission control procedures. 2. RTS/CTS MECHANISM The wireless station which ready to transmit data is made to send a short Request To Send (RTS) frame before each data frame transmission. A collision of the RTS frame is less likely than the collision of the actual data frame because there is a difference in size. If the receiver station is ready to receive, it admits the RTS frame by sending a Clear To Send (CTS) frame to the sender and thus blocks every movement from other wireless stations. When the source receives the CTS frame, it sends the data frame as the channel has been allocated for the entire duration of transmission. Finally, the receiver sends the ACK frame to the sender on receipt the frame [4]. So, it is important to assess the efficiency of optional RTS/CTS handshake mechanism on the performance to analyze the IEEE 802.11 based Wireless Local Area Networks (WLANs). 3. OPNET IMPLEMENTATION AND SIMULATION Simulation modeling is becoming an increasingly popular approach to study the functionality and performance of proposed models in several fields. The flowchart of simulation of any system that has been begun by the steps that is taken in the simulation process. For each scenario, the network traffic, configurations are modified and the simulation is run. A flowchart is used to illustrate the key steps taken to evaluate the performance of a wireless local area network is shown in Figure 1 [5]. Simulation is the process of testing a designed model on a platform which imitates the real environment. It provides the opportunity to create modify and study the behavior of proposed design so that one can expect its strengths and weakness before implementing the model in real environment. 84
  • 3. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME Create a new project Create / Edit Scenario Model Selected Statistics To Collect Simulation Set Up Duplicate Scenario New Hypothesis (what-if) Run Simulation Results Analysis Figure 1: Flow chart to evaluate the performance of WLAN 3.1 Baseline Scenario The Baseline Scenario of 802.11g model was created using a variation of the OPNET 14.5 standard models WLAN deployment scenario. In this scenario, the behavior of a single infrastructure 802.11g WLAN is examined within the framework of a deployed WAN to better emulate the configuration of an actual network [6]. An Internet Protocol IP cloud used to represent the backbone Internet is connected with a Point-to-Point T1 (1.544Mbps) serial link. The three subnet are located on the other side of this IP cloud via an IP gateway connected by Point-to-Point Protocol T1 link and two servers connected through a central switch using 100BaseT, as shown in Figure 2, and wireless as shown in figure 3. 85
  • 4. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME . Figure 2: Simulated Wire Server Frameworks Figure 3: Simulated Wireless Server Frameworks The subnet one located on the one side of this Internet Protocol (IP) cloud and the network’s traffic servers are connected by 100BaseT Ethernet ,these servers connect to the firewall using 100BaseT Ethernet wiring and are used as the source and destination of all services: Hypertext Transfer Protocol (HTTP), File Transfer protocol (FTP), video conferencing , voice applications, Electronic Mail (E-mail) and Database running on the entire network representing traffic that is exchanged with the mobile nodes in the 802.11g WLAN during the simulation [7][8], as shown in Figure 4. 86
  • 5. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME Figure 4: Subnet 1 802.11g WLAN The subnet two represents the remote branch office comprising an office_LAN having five workstations connected by a 100BaseT link. Office LAN connected through a central switch using 100BaseT Ethernet wiring emulating a real life office environment with a standard Fast Ethernet LAN. An IP gateway connects the LAN to an IP cloud, the gateway connects to the office LAN using 100BaseT Ethernet wiring while the connection between the gateway and the IP cloud is done with a Point-to-Point T1 serial link, as shown in Figure 5. Figure 5: Subnet 2 802.11g WLAN Finally, the subnet three located on the another side of the Internet Protocol cloud, the WLAN is connected via its access point to an office LAN through a central switch using Ethernet wiring emulating a real life office environment with a standard Fast Ethernet LAN having a WLAN extension to an area of cabling difficulty or requiring aesthetics e.g. a conference or media room, as shown in Figure 6. 87
  • 6. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME Figure 6: Subnet 3 Offices WLAN The office_LAN are divided equally amongst the profiles, with each profile having one workstations. Here the main objective is to analyses the user perceived performance of the WLAN users, the WLAN sub network with five mobile nodes are assigned to different profiles as shown in Table 1. Table 1: Assigned profiles of mobile nodes in WLAN sub network MOBILE NODE USER PROFILE Station_1 Engineer Station_2 Researcher Station_3 E-commerce Customer Station_4 Sales Person Station_5 Multimedia User 3.2 Multimedia Load Scenarios Multimedia traffic is introduced into the network in the form of video conferencing, Video conferencing encompasses data, voice and images, and represents the ultimate multimedia traffic[9][10]. A video server is introduced to serve video conferencing applications across the network details, the applications configured for multimedia user profile in the multimedia load scenarios as shown in Figure 7. 88
  • 7. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME Figure 7: Application Configurations for Multimedia User Profile A number of model performance statistics, several are critical indicators used to determine that the model operated correctly. 4. SIMULATION RESULTS AND DISCUSSIONS 4.1 Load A first parameter that influences the overall performance of the wireless standards is load. The load test is concerned with the receipt of the payload data without considering overhead of network against load. The total load on the WLAN as a function of time as the simulation progressed is one of the more important results, The overall WLAN load data an approximate average value of scenario heavy is (430.7407) Kbps on the 5 minute mark and the average value of scenario light WLAN is (3622787) Kbps on the 5 minute mark and Figure 8shows the results belong to the first scenario. Figure 8: Total Loads on the Simulated Wireless LAN A simulation scenario (heavy) was built and run in order to obtain the desired results for individual load as shown in figure 9. 89
  • 8. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME Figure 9: Individual Load Values A simulation scenario (Light) was built and run in order to obtain the results for Individual Load Values for subnet, as shown in figure 10. Figure 10: Individual Load Values for scenario (light) subnet one, subnet three 90
  • 9. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME In order to obtain the desired results of the load and the access point are illustrated approximate average peak values stations to achieve the objective, A simulation scenario (heavy) and the simulation scenario (Light) are shown in Table 2 . Table 2: The Individual load values scenario 1(light) and scenario 2(heavy) Type Of Node WLAN Load (Heavy) (Kbps) subnet one Access point (AP2) 42.07 E-commerce costumer 0 188.4 73 146 Engineer 0 0 223 232 Researcher 0 0 202 260 Video conferencing 0 0 893783 87652 Voice 0 0 17878 18201 Sub Value 42.07 388.6 1828285 1794502 Sum total WLAN Load (Heavy) (Kbps) subnet three (AP1) 200.2 430.7407407 WLAN Load (Light) (Kbps) subnet one (AP1) 916124 WLAN Load (Light)(Kbps) subnet three (AP3) 899128 3622787.467 4.2 Delay Delay is an essential metric to characterize the QoS of any network, especially for real time Multimedia application. It represents an important parameter in determining the successful operation of the MAC layer, its timing operations, and the Required To Send/ Clear To Send (RTS/CTS) mechanism are the medium access delay and overall packet transmission delay statistics, those results average overall WLAN delay peaks at 0.0125s, these values are typical of an efficient WLAN under normal traffic loads, are displayed in Figure 11. Figure 11: Simulated Overall Delay in the Three scenario Networks 91
  • 10. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME While the average (in Video conferencing packet End-to- End Delay (sec)) delay peaks at (0.055s) as shown in figure 12. Figure 12 Simulated Video conferencing Wire server Delay VS Wireless server Delay It appears the WLAN Delay which represents the end to end delay of all the packets obtained by the wireless LAN MACs of all nodes of Wireless LAN in the network and forwarded to the higher layer. E2E delay includes medium access delay at the source MAC, reception of all the parts individually. It is shown that WLAN Delay is very high through those retransmissions. The average (in Voice packet End-to-End Delay (sec)) delay peaks at (0.093s) as shown in figure 13. Figure 13 Simulated Voice Wire server Delay VS Wireless server Delay A simulation different WLAN Delay of applications are used and simulation scenario 1 (Light) Wire Server (0.0103(sec)) vs Wireless Server (0.0125(sec))as shown in figure 14. 92
  • 11. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME Figure 14 Simulated WLAN Delay (sec) Wireless servervs Wire server The delay and the access point are illustrated approximate average peak valuesas shown in Table 3. Table 3 Wireless LAN delay (sec) Server of applications in WLAN Wireless server Wire server Application Delay(sec) Delay(sec) Video 0.039 0.055 conferencing Voice 0.082 0.093 5. CONCLUSION Quality of Service techniques are applied in IP networks to employ available network resources in the most efficient manner to minimize delays innet work traffic having multiple type of multimedia services which may include voice, video and database. Two network scenarios have been created namely 1 heavy network, Scenario 2(Medium Load) network and Scenario 3(High Load) network. Comparison were carried out between them and presented in Chapter 4. Performance tests conducted were Delay and Load Performances, in these Performance tests, we observed the results for two cases: heavy and light scenarios. REFERENCES [1] [2] [3] S. Ohmori, “The Future Generations of Mobile Communications Based on Broadband Access Technologies”, IEEE Communications Magazine, 134 - 142, December 2000. Rahul, V. and Dr. R. K. Bansal. “Simulation & performance analysis of wired and wireless computer networks”, International Journal of Computer Applications, February 2011. Navdeep Singh Chauhan, Loveljeet Kaur, “Evaluation of QoS for Different Voice Schemes in Wireless LAN using OPNET Modular”, Int. J. on Recent Trends in Engineering & Technology, Vol. 05, No. 01, Mar 2011. 93
  • 12. International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 - 6375(Online), Volume 4, Issue 6, November - December (2013), © IAEME [4] [5] [6] [6] [7] [8] [9] [10] [11] [12] [13] [14] [14] Jasani H., Alaraje N. “ Evaluating the performance of IEEE 802.11 network using RTS/CTS mechanism” IEEE International Conference on Electro/Information Technology, 2007 IT Guru Academic Edition. OPNET Technologies, (2007) http:// www.opnet.com/universityprogram/ itguru academic edition. N. Kritika, Namarta. “Performance Evaluation of 802.11 WLAN Scenarios in OPNET Modeler” International Journal of Computer Applications, May 2011. Mahbubur, S.R , Multimedia Networking: Technology, management and applications, Idea group publishing: London, 2002. Tsalianis,A, and Economides, A “Quality of service standards for distributed multimedia applications “ pp 13-17,Available through: Googlescholar (Accessed 22 June 2011). Cerqueira, E., Zeadally, S., Leszczuk, M., Curado, M. & Mauthe, A. Recent advances in multimedia networking, Multimedia Tools and Applications” pp. 1–13, 2008. Ciurana, M., Barceló-Arroyo, F. & Martín-Escalona, I.“Comparative performance evaluation of IEEE 802.11 for positioning with time of arrival”, Computer Standards& Interfaces 33(3): 344 – 349, 2011. Klein, A. &Klaue, J. “ Performance evaluation framework for video applications in mobile networks”, Second International Conference on Advances in Mesh Networks, MESH 2009, IEEE, pp. 43–49, 2009. R. Rajan, S. Shipra, “WLAN Performance Improvisation by Fine Tuning IEEE 802.11 Parameters”, International Journal of Computer Applications, April 2012. N. Kritika, Namarta. “Performance Evaluation of 802.11 WLAN Scenarios in OPNET Modeler” International Journal of Computer Applications, May 2011. Dr. Adnan Hussein Ali, Dalal Abdulmohsin Hammood and Amal Ibrahim Mahmood, “Improvement of Ieee 802.11g WLANS Based on Response Times Application with Radio – Fiber System”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 4, Issue 5, 2013, pp. 161 - 168, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472. Dheyaa Jasim Kadhim and Sanaa Shaker Abed, “Performance and Handoff Evaluation of Heterogeneous Wireless Networks (HWNS) using OPNET Simulator”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 4, Issue 2, 2013, pp. 477 - 496, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472. Neeraj Tiwari, Rahul Anshumali and Prabal Pratap Singh, “Wireless Sensor Networks: Limitation, Layerwise Security Threats, Intruder Detection”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 3, Issue 2, 2012, pp. 22 - 31, ISSN Print: 0976- 6464, ISSN Online: 0976 –6472. AUTHOR’S PROFILE The Author is a Lecturer in the Computer Engineering Department at Institute of Technology, Baghdad, IRAQ. He has been awarded a Doctor of Philosophy in Laser and Opto-Electronics Engineering from University of Technology, Baghdad, in 2007. He has studied Master of Science in Electronics Engineering, Cupper Vapor Laser's Power supply at University of Technology, Baghdad in 2000. He has gained Bachelor in Electrical and Electronic Engineering from University of Technology, Baghdad, in 1987. Currently he is the Deputy Dean of Institute of Technology, Baghdad, IRAQ. His research interests are Radio over Fiber, Wireless Network, Laser's Power supply and OPNET. 94

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