7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

Research Article

The Impact of Directional Antenna Models on Simulation Accuracy

  • @INPROCEEDINGS{10.1109/WIOPT.2009.5291643,
        author={Eric Anderson and Gary Yee and Caleb Phillips and Douglas Sicker and Dirk Grunwald},
        title={The Impact of Directional Antenna Models on Simulation Accuracy},
        proceedings={7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks},
        publisher={IEEE},
        proceedings_a={WIOPT},
        year={2009},
        month={10},
        keywords={wireless propagation antenna modeling simulation directionality stochastic performance security},
        doi={10.1109/WIOPT.2009.5291643}
    }
    
  • Eric Anderson
    Gary Yee
    Caleb Phillips
    Douglas Sicker
    Dirk Grunwald
    Year: 2009
    The Impact of Directional Antenna Models on Simulation Accuracy
    WIOPT
    IEEE
    DOI: 10.1109/WIOPT.2009.5291643
Eric Anderson1,*, Gary Yee1,*, Caleb Phillips1,*, Douglas Sicker1,*, Dirk Grunwald1,*
  • 1: Department of Computer Science University of Colorado Boulder, Colorado, USA
*Contact email: eric.anderson@colorado.edu, gary.yee@colorado.edu, caleb.phillips@colorado.edu, sicker@colorado.edu, grunwald@colorado.edu

Abstract

Increasingly, directional antennas are being used in wireless networks. Such antennas can improve the quality of individual links and decrease overall interference. However, the interaction of environmental effects with signal directionality is not well understood. We observe that state of the art simulators make simplifying assumptions which are often unrealistic and can give a misleading picture of application layer performance. Because simulators are often used for prototyping and validating new ideas, their realism and accuracy are of primary importance. In this paper, we apply a new empirical simulation method for directional antennas and study how well this models reality. We show that not only is our model easy to implement, but is also more accurate and thus better able to predict the performance of propagation-sensitive applications.