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A Software Tool for Federated Simulation of Wireless Sensor Networks and Mobile Ad Hoc Networks

  • Ewa Niewiadomska-Szynkiewicz
  • Andrzej Sikora
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7133)

Abstract

The applicability of parallel discrete event simulation to design and evaluation of ad hoc networks is discussed. In this paper we describe the design, functionality, implementation and performance of our software system named MobASim. It is a Java-based integrated framework for wireless sensor and mobile ad hoc networks simulation performed on parallel computers and computer clusters that utilizes the paradigm of federating simulators and asynchronous distributed simulation technology. The computational results presented in the final part of the paper show the efficiency of parallel simulation performed upon MobASim and the application of our tool to design self-organizing communication network.

Keywords

Ad hoc network MANET WSN discrete event system (DEVS) parallel discrete event simulation (PDES) 

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References

  1. 1.
    Aggelou, G.: Mobile Ad Hoc Networs. From Wireless LANs to 4G Networks. McGraw-Hill, USA (2005)Google Scholar
  2. 2.
    Banks, J., Carson, J.S., Nelson, B.L., Nicol, D.M.: Discrete-Event System Simulation, 5th edn. Pearson Education (2010)Google Scholar
  3. 3.
    Basagni, S., Conti, M., Giordano, S., Stojmenovic, I.: Mobile Ad Hoc Networking. Wiley-Interscience, IEEE Press (2004)Google Scholar
  4. 4.
    Caro, G.D.: Analysis of Simulation Environments for Mobile Ad Hoc Networks. Technical Report No IDSIA-24-03, IDSIA, Switzerland (2003)Google Scholar
  5. 5.
    Ferenci, S.L., Perumalla, K.S., Fujimoto, R.M.: An approach for federating parallel simulators. In: Proceedings of the 14th Workshop on Parallel and Distributed Simulation (PADS 2000), pp. 63–70 (2000)Google Scholar
  6. 6.
    Forouzan, B.: Data Communications and Networking. McGraw-Hill (2004)Google Scholar
  7. 7.
    Hogie, L., Bouvry, P., Guinand, F.: An Overview of MANETs Simulation. In: Proc. of 1st Inter. Workshop on Methods and Tools for Coordinating Concurrent, Distributed and Mobile Systems, pp. 81–101 (2005)Google Scholar
  8. 8.
    Kasch, W.T., Ward, J.R., Andrusenko, J.: Wireless Network Modeling and Simulation Tools for Designers and Developers. IEEE Communications Magazine 46, 120–127 (2008)Google Scholar
  9. 9.
    Mehta, S., Ullah, N., Kabir, H., Sultana, N., Kwak, K.S.: A Case Study of Networks Simulation Tools for Wireless Networks. In: Proc. of the 3rd Asia International Conference on Modelling & Simulation, pp. 661–666 (2009)Google Scholar
  10. 10.
    Misra, J.: Distributed Discrete-Event Simulation. Computing Surveys 18 (1986)Google Scholar
  11. 11.
    Nicol, D.M., Fujimoto, R.: Parallel Simulation Today. Annals of Operations Research 53, 249–285 (1994)CrossRefzbMATHGoogle Scholar
  12. 12.
    Perrone, L.F., Yuan, Y., Nicol, D.M.: Simulation of large scale networks: Modeling and simulation best practises for wireless ad hoc networks. In: Proceedings of the 35th Winter Simulation Conference, pp. 685–693 (2003)Google Scholar
  13. 13.
    Roy, R.R.: Hanbook of Mobile Ad Hoc Networks for Mobility Models. Springer, USA (2010)Google Scholar
  14. 14.
    Sikora, A., Niewiadomska-Szynkiewicz, E.: A Federated Approach to Parallel and Distributed Simulation of Complex Systems. International Journal of Applied Mathematics and Computer Science 17, 99–106 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  15. 15.
    Singh, C.P., Vyas, O.P., Tiwari, M.K.: A Survey of Simulation in Sensor Networks. In: Proceedings of the Inter. Conf. Computational Intelligence for Modelling Control and Automation, pp. 867–872 (2009)Google Scholar
  16. 16.
    Socol, L.M., Briscoe, D.P., Wieland, A.P.: Mtw: a strategy for scheduling discrete simulation events for concurrent execution. In: Proceedings of the SCS Multiconference on Distributed Simulation, pp. 34–42 (1988)Google Scholar
  17. 17.
    Verdone, R., Dardari, D., Mazzini, G., Conti, A.: Wireless Sensors and Actuator Networks. Technologies, Analisis and Design. Elsevier (2008)Google Scholar
  18. 18.
    Zeigler, B.P., Praehofer, H., Kim, T.G.: Theory of Modeling and Simulation. Academic Press (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ewa Niewiadomska-Szynkiewicz
    • 1
    • 2
  • Andrzej Sikora
    • 1
  1. 1.Research and Academic Computer Network (NASK)WarsawPoland
  2. 2.Institute of Control and Computation EngineeringWarsaw University of TechnologyWarsawPoland

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