Model complexity vs. better parameter value estimation: comparing four topography-independent radio models

Jochen Koberstein; Sören Witt; Norbert Luttenberger

1st International ICST Workshop on Scenarios for Network Evaluation Studies

Research Article

Model complexity vs. better parameter value estimation: comparing four topography-independent radio models

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2009.5629,
    author={Jochen Koberstein and S\o{}ren Witt and Norbert Luttenberger},
    title={Model complexity vs. better parameter value estimation: comparing four topography-independent radio models},
    proceedings={1st International ICST Workshop on Scenarios for Network Evaluation Studies},
    publisher={ACM},
    proceedings_a={SCENES},
    year={2010},
    month={5},
    keywords={Radio Model Comparison Real World Optimization Cal- ibration Simulation Model Validation},
    doi={10.4108/ICST.SIMUTOOLS2009.5629}
}

Jochen Koberstein
Sören Witt
Norbert Luttenberger
Year: 2010
Model complexity vs. better parameter value estimation: comparing four topography-independent radio models
SCENES
ICST
DOI: 10.4108/ICST.SIMUTOOLS2009.5629

Jochen Koberstein¹^,*, Sören Witt¹^,*, Norbert Luttenberger¹^,*

1: Research Group for Communication Systems, Dept. of Computer Science, University of Kiel, Germany.

*Contact email: jko@informatik.uni-kiel.de, swi@informatik.uni-kiel.de, nl@informatik.uni-kiel.de

Abstract

In this case study we show how four topography-independent radio models (models not regarding individual obstacles in the operations area) can be uned" such that the outcomes of an event-driven network simulator come as close as possi- ble to reference data obtained in a real-world radio network experiment. An evolutionary optimization process was ap- plied to fnd near optimal parameter values four these mod- els. We describe the optimization process, the error function that guides it and discuss the results.

Keywords: Radio Model Comparison Real World Optimization Cal- ibration Simulation Model Validation

Published: 2010-05-16
Publisher: ACM
Modified: 2010-05-16

: http://dx.doi.org/10.4108/ICST.SIMUTOOLS2009.5629