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Reseach Article

Comparative Performance Analysis of DSDV, DSR and OLSR Routing Protocols to Determine the Best Suited Routing Approach through Simulation in Mobile Wimax Network

by Sultana Jahan Soheli, Zayed-Us-Salehin, Farjana Afroz Nila, Md. Ashikur Rahman Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 22
Year of Publication: 2019
Authors: Sultana Jahan Soheli, Zayed-Us-Salehin, Farjana Afroz Nila, Md. Ashikur Rahman Khan
10.5120/ijca2019919656

Sultana Jahan Soheli, Zayed-Us-Salehin, Farjana Afroz Nila, Md. Ashikur Rahman Khan . Comparative Performance Analysis of DSDV, DSR and OLSR Routing Protocols to Determine the Best Suited Routing Approach through Simulation in Mobile Wimax Network. International Journal of Computer Applications. 177, 22 ( Dec 2019), 19-28. DOI=10.5120/ijca2019919656

@article{ 10.5120/ijca2019919656,
author = { Sultana Jahan Soheli, Zayed-Us-Salehin, Farjana Afroz Nila, Md. Ashikur Rahman Khan },
title = { Comparative Performance Analysis of DSDV, DSR and OLSR Routing Protocols to Determine the Best Suited Routing Approach through Simulation in Mobile Wimax Network },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2019 },
volume = { 177 },
number = { 22 },
month = { Dec },
year = { 2019 },
issn = { 0975-8887 },
pages = { 19-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number22/31029-2019919656/ },
doi = { 10.5120/ijca2019919656 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:46:36.291009+05:30
%A Sultana Jahan Soheli
%A Zayed-Us-Salehin
%A Farjana Afroz Nila
%A Md. Ashikur Rahman Khan
%T Comparative Performance Analysis of DSDV, DSR and OLSR Routing Protocols to Determine the Best Suited Routing Approach through Simulation in Mobile Wimax Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 22
%P 19-28
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Worldwide Interoperability for Microwave Access (WiMAX) is one of the most efficient and well known area based networking system that provide fixed, and more newly, mobile broadband connectivity between fixed and mobile network access in a define coverage areas. There are a large number of research works that have been conducted to measure the performance of WiMAX network using different ad-hoc routing protocols. Most of them are concerned only about the protocols and how they work in WiMAX networks. There are no such comparisons purely based on the nature of protocols, whether they are reactive or proactive, or distance vector or link state. If the most suited approach of routing can be determined, research area can be narrowed to that particular approach. In this paper, four different protocols are taken, namely, Destination Sequence Distance Vector (DSDV) routing protocol, which is a proactive distance vector routing protocol; Dynamic Source Routing (DSR), which is a reactive distance vector protocol; Optimized Link State Routing Protocol (OLSR), which is a proactive link state routing protocol. For simulation of WiMAX network, Network Simulator- 3 (NS-3) simulation software in Linux environment is used. For measuring and comparing performances of the protocols, primarily Packet Delivery Ratio, Throughput, End-to-End Delay, Normalized Routing overhead, Number of dropped data packets have been used. Results of simulation shows that, OLSR, as well as, Proactive Link State routing approach outperform other two approaches in simulated WiMAX network. Then also tried to improve the performance of WiMAX by analyzing the network with and without mobility.

References
  1. F. Anwar, M. S. Azad, M. A. Rahman and M. M. Uddin, “Performance Analysis of Wireless Routing Protocols in Mobile WiMAX Environment”, IAENG International Journal of Computer Science, vol. 35, no. 3, IJCS_35_3_13, Aug., 2008.
  2. M. S. Islam and M. T. Alam, “Wimax: An Analysis Of The Existing Technology And Compare With The Cellular Networks”, Master Thesis, Blekinge Institute of Technology, Sweden, January 2009.
  3. L. Sarperi, M. Hunukumbure and S. Vadgama, “Simulation Study of Fractional Frequency Reuse in WiMAX Networks”, FUJITSU Sd. Tech. J., vol. 44, no. 3, July, pp.318-324, 2008.
  4. Muna Al-Hawawreh, Aymen Zreikat, “Performance Analysis of a WIMAX Network in Different Propagation Models”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 15, No. 1, January 2017
  5. M Haider, Turki A, Ali H, Najim A, Alsahlany “ Performance Of Baghdad City Using Different Audio Codecs. Evaluation Of WIMAX Network” , In Proc. IEEE 16th RoEduNet Conference: Networking in Education and Research (RoEduNet), 2017, DOI: 10.1109/ROEDUNET.2017.8123762
  6. T. Alkaa, S. Meenakshib and S. Pankaj, “Performance Evaluation of 802.16 (Wimax) Based Mesh Network Using Routing Protocols”, International Journal of Advanced Engineering Technology, vol. 4, no. 4, Oct/Dec issue, pp. 93-96, 2013.
  7. Rajeev P, Anil K, “To Evaluate the Performance of IEEE 802.16 Routing Protocols using Qualnet 6.1 Simulator” International Journal of Computer Applications (0975 – 8887) , Volume 92 – No.3, April 2014.
  8. Anuragsingh R, Namarata G, Aakash P, Poonam P, “ A Review Paper on WiMAX Technology”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 5, Issue 6, June 2016.
  9. Salman N, Hussain S, I Raza, S R Chaudry, J. S. Mirza, M. H. Raza, “Mobile Ad-hoc Network Routing Protocols: A Simulation and Performance Analysis Using Multimedia Traffic”, Journal of Basic and Applied Scientific Research, Vol.2(10)9925-9930, 2012
  10. Yahya A, Yahya Z, “Performance Analysis of the Impact of the Propagation Environments on the WIMAX Service Classes”, International Journal of Future Generation Communication and Networking Vol. 8, No. 1 (2015), pp. 117-126, 2015.
  11. Kumari N, Anoj K, “ICN-WiMAX: An Application of Network coding based Centrality-measures caching over IEEE 802.16”, 6th International Conference on Smart Computing and Communications, ICSCC 2017, 7-8 December 2017.
  12. M. Seyedzadegan and M. Othman, “IEEE 802.16: WiMAX Overview, WiMAX Architecture”, International Journal of Computer Theory and Engineering, vol. 5, no. 5, October, pp. 784-787, 2013.
  13. S. Fili, “Fixed nomadic, portable and mobile applications for 802.16-2004 and802.16e WiMAX networks”, WiMAX forum, November, 2005.
  14. J. G. Andrews, A. Ghosh and R. Muhamed, Fundamentals of WiMAX, Pearson Education, Inc, ISBN 0-13-222552-2, 2007.
  15. P. Asher, “Comprehensive Analysis of Dynamic Routing Protocols in Computer Networks”, International Journal of Computer Science and Information Technologies, vol. 6, no. 5, pp. 4450-4455, 2015.
  16. Tariq, Umar et. al., 2007, “Analysis on Fixed and Mobile WiMAX”, Master Thesis, Blekinge Institute of Technology.
  17. Andrews, Jeffrey G. et. al., 2007, “Fundamentals of WiMAX”, First Edition, PearsonEducation, Inc, ISBN 0-13-222552-2.
  18. Islam, Mohammad Saiful & Mohammad Tawhidul Alam, January 2009, “WiMAX: An Analysis of the existing technology and compare with the cellular networks”, Master Thesis, Blekinge Institute of Technology.
  19. C. E. Perkins and P. Bhagwat, “Highly Dynamic Destination-Sequenced Distance- Vector Routing (DSDV) for Mobile Computers,” SIGCOMM, London, UK, August, 1994, pp. 234-244.
  20. E. M. Royer and C. K. Toh, “A Review of Current Routing Protocols for Ad Hoc Mobile Wireless Networks”, IEEE Personal Communications, July, pp. 46-55, 1999.
  21. A. O. A. Salem, G. Samara and T. Alhmiedat, “Performance Analysis of Dynamic Source Routing Protocol”, Journal of Emerging Trends in Computing and Information Sciences, vol. 5, no. 2, February, pp. 97-100, 2014.
  22. NS-3 project, “ns-3 Manual Release ns-3.27”, October, 2017.
  23. NS-3 developers, “Statistical Framework for Network Simulation”, 2008. [Online].
  24. Available:https://www.nsnam.org/wiki/ Statistical_Framework_for_Network_Simulation. [Accessed: June 21, 2018].
  25. NS-3 project, “ns-3 Model Library Release ns-3.27”, October, 2017.
  26. P. Periyasamy and E. Karthikeyan, “Impact of Variation in Pause Time and Network Load in AODV and AOMDV Protocols”, International Journal of Information Technology and Computer Science, no. 3, pp. 38-44, 2012.
  27. T. Alkaa, S. Meenak ,S. Pankaj, “Performance Evaluation of 802.16 (Wimax) Based Mesh Network Using Routing Protocols”, International Journal of Advanced Engineering Technology, vol. 4, no. 4, Oct/Dec issue, pp. 93-96, 2013.
  28. S. Pathak and B. Kumar, “Performance Evaluation of Routing Protocols for sending Healthcare data over WiMAX network”, In Proc. International Conference on Signal Processing and Integrated Networks (SPIN), 2014, pp. 269-274.
Index Terms

Computer Science
Information Sciences

Keywords

WiMAX DSDV DSR OLSR NS-3