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The Effect of Velocity and Unresponsive Traffic Volume on Performance of Routing Protocols in MANET

  • Sukant Kishoro Bisoy
  • Prasant Kumar Patnaik
  • Tanmaya Kumar Swain
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 248)

Abstract

Mobile ad hoc networks (MANETs) form a random network by consists of mobile nodes where node share information with each other while moving. Due to presence of mobility in the MANET, the interconnections between nodes are likely to change, resulting in frequent changes of network topology. Therefore there is a need of identifying efficient dynamic routing protocol to provide call services in such network. In this paper, the effect of node velocity and unresponsive traffic volume is explored on performance of three routing protocols i.e. DSR, AODV and DYMO via NS2 simulator of ad hoc network of 100 mobile nodes. The performance is measured based on traffic admission ratio, packet delivery ratio (PDR), routing overhead, and average end-to-end delay. We observe that DYMO performs better in terms of PDR and traffic admission ratio and DSR has least overhead than others irrespective of node velocity, traffic volume and number of connection.

Keywords

MANET AODV DSR DYMO Mobility Traffic admission ratio NS2 

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References

  1. 1.
    Perkins, C.E., Belding-Royer, E., Das, S.R.: Ad- hoc on-demand distance vector (AODV) routing. IETF RFC 3561 (2003)Google Scholar
  2. 2.
    Johnson, D.B., Maltz, D.: Dynamic source routing in ad hoc wireless networks. In: Imielinski, T., Korth, H. (eds.) Mobile Computing, pp. 153–181. Kluwer Academic Publishers, Dordrecht (1996)CrossRefGoogle Scholar
  3. 3.
    Chakeres, I., Perkins, C.: Dynamic MANET On-demand (DYMO) Routing. IETF Internet Draft 19 (2010)Google Scholar
  4. 4.
    Kushwah, S.S., Tomar, G.S.: Investigation of Effects of Mobility on Routing Protocols in MANET. In: International Conferences on Ubiquitous Computing and Multimedia Applications (UCMA), Daejeon, pp. 82–84 (2011)Google Scholar
  5. 5.
    Ismail, Z., Hassan, R.: Effects of Packet Size on AODV Routing Protocol Implementation in Homogeneous and Heterogeneous MANET. In: Third International Conference on Computational Intelligence, Modeling (CIMSiM), Langkawi, pp. 351–366 (2011)Google Scholar
  6. 6.
    Pala, A., Singh, J.P., Dutta, P.: The Effect of speed variation on different Traffic Patterns in Mobile Ad Hoc Network. In: 2nd International Conference on Computer, Communication, Control and Information Technology (C3IT), pp. 743–748 (2012)Google Scholar
  7. 7.
    Imrich, C., Marco, C., Jennifer, J.N.L.: Mobile ad hoc networking: imperatives and challenges. Ad Hoc Networks 1, 13–64 (2003)CrossRefGoogle Scholar
  8. 8.
    Lin-zhu, W., Ya-qin, G., Min, S.: Performance comparison of Two Routing Protocols for Ad Hoc Networks. In: WASE International Conference on Information Engineering, pp. 260–262 (2009)Google Scholar
  9. 9.
    Mbarushimana, C., Shahrabi, A.: Comparative study of reactive and proactive routing protocols performance in mobile ad hoc networks. In: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW 2007), pp. 679–684 (2007)Google Scholar
  10. 10.
    The Network Simulator, Ns2, http://www.isi.edu/nsnam/ns
  11. 11.
    Robins, A.D.: GAWK:an effective AWK programming, 3rd edn. (2010)Google Scholar
  12. 12.
    Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wireless Communication and Mobile Computing Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications 2, 483–502 (2002)CrossRefGoogle Scholar
  13. 13.
    Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing 2(5), 483–502 (2002)CrossRefGoogle Scholar
  14. 14.
    Bisoy, S.K., Panda, M.R., Pallai, G.K., Panda, D.: Analysing the Interaction between Mobility Model and Unipath Routing Protocols in Mobile Ad Hoc Networks. International Journal of Application or Innovation in Engineering & Management 2(6), 449–456 (2013)Google Scholar
  15. 15.
    Pucha, H., Das, S.M., Hu, Y.C.: The performance impact of traffic patterns on routing protocols in mobile ad hoc networks. In: Proc. of ACM MSWiM (2004)Google Scholar
  16. 16.
    Broch, J., Maltz, D.A., Johnson, D.B., Hu, Y.C., Jetcheva, J.: A performance comparison of multi-hop wireless ad hoc network routing protocols. In: Proc. of ACM MobiCom (1998)Google Scholar
  17. 17.
    Das, S.R., Perkins, C.E., Royer, E.M.: Performance comparison of two on-demand routing protocols for ad hoc networks. In: Proc. of IEEE INFOCOM (2000)Google Scholar
  18. 18.
    Gupta, P., Kumar, P.R.: The capacity of wireless networks. IEEE Transactions on Information Theory 46(2), 388–404 (2000)MathSciNetCrossRefMATHGoogle Scholar
  19. 19.
    Bai, F., Sadagopan, N., Helmy, A.: IMPORTANT: A framework to systematically analyze the Impact of Mobility on Performance of Routing protocols for Adhoc Networks. In: IEEE International Conference on Computer and Communications, pp. 825–835 (2003)Google Scholar
  20. 20.
    Divecha, B., Abraham, A., Grosan, C., Sanyal, S.: Impact of node mobility on MANET routing protocols models. Journal of Digital Information Management 5(1), 19–24 (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sukant Kishoro Bisoy
    • 1
  • Prasant Kumar Patnaik
    • 2
  • Tanmaya Kumar Swain
    • 2
  1. 1.SOA UniversityBhubaneswarIndia
  2. 2.School of Computer EngineeringKIIT UniversityBhubaneswarIndia

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