Advertisement

Effects of Terrain Details on Wireless Network Simulation Macro Results Accuracy

  • Sonja Filiposka
  • Igor Mishkovski
  • Dimitar Trajanov
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 150)

Abstract

In this paper we investigate the use of terrains with various level of detail and its impact on the simulation results on the macro level. We argue to which extent this problem has to be taken into account and what is the appropriate level of terrain accurate representation in order to achieve results that are valid and can be used as a simulation projection for a given real life scenario.

Keywords

Digital Terrain Model Triangulate Irregular Network Triangular Irregular Network Real Terrain Average Receive Signal Strength 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lee, C.M., Pappas, V., Sahu, S., Seshan, S.: Impact of Coverage on the Performance of Wireless Ad Hoc Networks. In: Proceedings of the Second Annual Conference of the International Technology Alliance, UK (September 2008)Google Scholar
  2. 2.
    Ozan, K., Tonguz, G., Ferrari: Ad Hoc Wireless Networks: A Communication-Theoretic Perspective. John Wiley & Sons (2006)Google Scholar
  3. 3.
    Shan, W., Jian-xin, W., Xu-dong, Z., Ji-bo, W.: Performance of anti-jamming ad hoc networks using directional beams with group mobility. In: IFIP International Conference on Wireless and Optical Communications Networks, April 11-13 (2006)Google Scholar
  4. 4.
    Baumann, R., Heimlicher, S., May, M.: Towards Realistic Mobility Models for Vehicular Ad-hoc Networks. In: 26th Annual IEEE Conference on Computer Communications IEEE INFOCOM 2007, Alaska, USA, May 6-12 (2007)Google Scholar
  5. 5.
    Vuyyuru, R., Oguchi, K.: Vehicle-to- vehicle ad hoc communication protocol evaluation using realistic simulation framework. In: Fourth Annual Conference on Wireless on Demand Network Systems and Services, WONS 2007 (2007)Google Scholar
  6. 6.
    Harouna Souley, A.-K., Cherkaoui, S.: Realistic Urban Scenarios Simulation for Ad Hoc Networks. In: The Second International Conference on Innovations in Information Technology, IIT 2005 (2005)Google Scholar
  7. 7.
    Glomosim, Global Mobile Information Systems Simulation Library, http://pcl.cs.ucla.edu/projects/glomosim/
  8. 8.
  9. 9.
    Hufford, G.: The ITS Irregular Terrain Model, http://flattop.its.bldrdoc.gov/itm.html
  10. 10.
  11. 11.
    Cost 231 Walfisch- Ikegami, Cost Final Report, http://www.lx.it.pt/cost231/
  12. 12.
    NS-2 network simulator, http://nsnam.isi.edu/nsnam/index.php
  13. 13.
    Vuckovik, M., Filiposka, S., Trajanov, D.: Performances of Clustered Ad Hoc Networks on 3D Terrains. In: SIMUTools 2009, Rome, Italy (2009)Google Scholar
  14. 14.
    Filiposka, S., Trajanov, D.: Terrain Aware 3D Radio Propagation Model Extension for NS-2. Simulation Journal (January 2011)Google Scholar
  15. 15.
    Vuckovik, M., Filiposka, S., Trajanov, D.: Durkins Propagation Model Based on Triangular Irregular Network Terrain. In: Springer Book of Proceedings for ICT Innovations 2010, Ohrid, Macedonia (2010)Google Scholar
  16. 16.
    The Guide to Geographic Information System, http://www.gis.com
  17. 17.
    Harmon, J.E., Anderson, S.J.: The Design and Implementation of Geographic Information Systems. John Wiley & Sons (2003)Google Scholar
  18. 18.
    U.S. Geological Survey National Mapping Division: Part 1 General, Standards for Digital Elevation ModelsGoogle Scholar
  19. 19.
    U.S. Geological Survey National Mapping Division: Part 2 Specifications, Standards for Digital Elevation ModelsGoogle Scholar
  20. 20.
    Weibel, R., Heller, M.: Digital Terrain Modeling. In: Geographical Information Systems: Principles and Applications, pp. 269–297. Longman, London (1991)Google Scholar
  21. 21.
    Goodchild, M.F., Lee, J.: Coverage problems and visibility regions on topographic surfaces. Annals of Operations Research 18, 175–186 (1989)MathSciNetCrossRefGoogle Scholar
  22. 22.
    Falcidieno, B., Spagnuolo, M.: A new method for the characterization of topographic surfaces. International Journal of Geographical Information Systems 5(4), 397–412 (1991)CrossRefGoogle Scholar
  23. 23.
    Matori, A.N.: Low Cost DTM for Certain Engineering Purposes. In: Map Asia 2010 & ISG 2010, Kuala Lumpur, Malaysia, July 26-28 (2010)Google Scholar
  24. 24.

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Sonja Filiposka
    • 1
  • Igor Mishkovski
    • 2
  • Dimitar Trajanov
    • 1
  1. 1.Faculty of Computer Science and EngineeringSs. Cyril and Methodius UniversitySkopjeR. Macedonia
  2. 2.Politecnico di TorinoTurinItaly

Personalised recommendations