Advertisement

Analysis of Causes for Differences in Modeling Results of Multi-hop Wireless Networks Using Various Network Simulators

  • I. O. Datyev
  • A. A. Pavlov
  • M. V. Ashkadov
  • M. G. Shishaev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 763)

Abstract

Simulation is the main way to test multi-step wireless networks. Creating a simulation model of a multi-hop wireless network is a laborious task associated with the use of specialized software tools, called network simulators. In this paper, the modern experience of modeling multi-hop wireless networks is considered, and the main problems are formulated. One of the main problems is the impossibility of a comparative analysis of the simulation experiments results conducted by various researchers. We attempted to classify the reasons for the differences in the results of simulation of multi-hop wireless networks using various network simulators. The proposed classification is designed to help researchers improve the quality of multi-hop wireless networks modelling and improve interaction among researchers. In addition, the paper suggests preventive ways to minimize differences in the results of simulation experiments.

Keywords

Multi-hop wireless networks Simulation Network simulators 

References

  1. 1.
    Lakshmanarao, K., VonodKumar, C.R., Kanakavardhini, K.: Survey on simulation tools for wireless networks. IJERT 2(10), 608–612 (2013)Google Scholar
  2. 2.
    Abu Salem, A.O., Awwad, H.: Mobile ad-hoc network simulators, a survey and comparisons. Int. J. P2P Netw. Trends Technol. (IJPTT) 9, 12–17 (2014)Google Scholar
  3. 3.
    ur Rehman Khana, A., Bilalb, S.M., Othmana, M.: A Performance Comparison of Network Simulators for Wireless Networks. https://arxiv.org/ftp/arxiv/papers/1307/1307.4129.pdf. Accessed 11 Jan 2018
  4. 4.
    Rachedi, A., Lohier, S., Cherrier, S., Salhi, I.: Wireless Network Simulators Relevance Compared to a Real Testbed in Outdoor and Indoor Environments. https://hal.archives-ouvertes.fr/hal-00620343/document. Accessed 11 Jan 2018
  5. 5.
    Zoican, R., Galaţchi, D.: A Comparison of the Present MANET Simulators. TELECOMUNICAŢII. 1/2008, pp. 84–90 (2008)Google Scholar
  6. 6.
    Kurkowski, S., Camp, T., Colagrosso, M.: MANET simulation studies: the incredibles. Mob. Comput. Commun. Rev. 1(2) (2018). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.329.1133&rep=rep1&type=pdf. Accessed 11 Jan 2018
  7. 7.
    Lucio, G.F., Paredes-Farrera, M., Jammeh, E., Fleury, M., Reed, M.J.: OPNET modeler and Ns-2: comparing the accuracy of network simulators for packet-level analysis using a network Testbed. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.64.7286&rep=rep1&type=pdf. Accessed 11 Jan 2018
  8. 8.
    NS-3. https://www.nsnam.org/. Accessed 11 Jan 2018
  9. 9.
  10. 10.
    Omnet++. https://www.omnetpp.org/. Accessed 11 Jan 2018
  11. 11.
    Request for Comments (RFC). https://www.ietf.org/rfc.html. Accessed 11 Jan 2018
  12. 12.
    RFC3561. https://www.ietf.org/rfc/rfc3561.txt. Accessed 11 Jan 2018
  13. 13.
    NS-3, DSR. https://www.nsnam.org/docs/models/html/dsr.html. Accessed 11 Jan 2018
  14. 14.
    RFC 4728. https://tools.ietf.org/html/rfc4728. Accessed 11 Jan 2018
  15. 15.
    Datyev, I.O., Pavlov, A.A., Shishaev, M.G.: The parameters list for multihop wireless networks cross-layer routing metric. In: Cybernetics and Mathematics Applications in Intelligent Systems: Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Prague, Czech Republic, 26–29 April 2017, vol. 2, pp. 150–160 (2017)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • I. O. Datyev
    • 1
  • A. A. Pavlov
    • 1
  • M. V. Ashkadov
    • 1
  • M. G. Shishaev
    • 1
    • 2
  1. 1.Institute for Informatics and Mathematical Modelling of the Kola Science Center RASApatityRussia
  2. 2.Murmansk Arctic State UniversityMurmanskRussia

Personalised recommendations