Introducing probabilistic radio propagation models in OMNeT++ mobility framework and cross validation check with NS-2

ABSTRACT

When performing wireless network simulations, the lack of precise channel modeling in simulator frameworks becomes a serious problem. Often deterministic models are used for packet propagation, which describe real conditions insufficiently. To close this gap we extended the OMNeT++ Mobility Framework to support probabilistic propagation models. We provide an implementation for the Log-Normal-Shadowing, Nakagami, Rayleigh and Rice wave propagation models and set up a framework that allows easy integration of additional models in future.

Due to the characteristics of probabilistic radio models a fixed maximum packet propagation range encounters the problem of inaccurate simulation results as relevant events may be suppressed. On the other hand, unlimited packet propagation, which guarantees for correct simulation runs, causes unnecessary simulation overhead. In this work we present an approach to limit the event delivery to the area where the probability that the event is relevant to the simulation exceeds an adjustable threshold. In order to validate our extensions we successfully performed a detailed crosscheck with the network simulator NS-2 and run a performance evaluation and comparison.

REFERENCES

• 1: Network simulator NS-2. http://www.isi.edu/nsnam/ns/.
• 2: Qi Chen , Felix Schmidt-Eisenlohr , Daniel Jiang , Marc Torrent-Moreno , Luca Delgrossi , Hannes Hartenstein, Overhaul of ieee 802.11 modeling and simulation in ns-2, Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems, October 22-26, 2007, Chania, Crete Island, Greece [doi>10.1145/1298126.1298155]
• 3: David Kotz , Calvin Newport , Robert S. Gray , Jason Liu , Yougu Yuan , Chip Elliott, Experimental evaluation of wireless simulation assumptions, Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems, October 04-06, 2004, Venice, Italy [doi>10.1145/1023663.1023679]
• 4: M. Nakagami. The m-distribution -- A general formula for intensity distribution of rapid fading. In W. G. Hoffman, editor, Statistical Methods in Radio Wave Propagation. Pergamon, Oxford, U.K., 1960.
• 5: OMNeT++ Community. OMNeT++ Community Site -- Simulation Models, 12 2007. http://www.omnetpp.org.
• 6: Theodore S. Rappaport, Wireless Communications: Principles and Practice, IEEE Press, Piscataway, NJ, 1996
• 7: F. Schmidt Eisenlohr, J. Letamendia Murua, M. Torrent Moreno, and H. Hartenstein. Bug Fixes on the IEEE 802.11 DCF module of the network simulator ns-2.28. Technical Report TR-2006-1, Department of Computer Science, University of Karlsruhe, 2006.
• 8: Vikas Taliwal , Daniel Jiang , Heiko Mangold , Chi Chen , Raja Sengupta, Empirical determination of channel characteristics for DSRC vehicle-to-vehicle communication, Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks, October 01-01, 2004, Philadelphia, PA, USA [doi>10.1145/1023875.1023890]
• 9: V. Turau, C. Renner, M. Venzke, S. Waschik, C. Weyer, and M. Witt. The heathland experiment: results and experiences. In Proceedings of the REALWSN '05 workshop on real-world wireless sensor networks, Stockholm, Sweden, 2005.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.1 Network Architecture and Design
          Subjects: Wireless communication

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.7 Simulation Support Systems

General Terms:
Design, Experimentation, Measurement, Performance

Keywords:
OMNeT++, ad hoc networks, probabilistic propagation, simulation