Experimental evaluation of wireless simulation assumptions

DMCA

Experimental evaluation of wireless simulation assumptions (2004)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Calvin Newport , David Kotz , Yougu Yuan , Robert S. Gray , Jason Liu , Chip Elliott

Citations:

260 - 12 self

BibTeX

@INPROCEEDINGS{Newport04experimentalevaluation,
    author = {Calvin Newport and David Kotz and Yougu Yuan and Robert S. Gray and Jason Liu and Chip Elliott},
    title = {Experimental evaluation of wireless simulation assumptions},
    booktitle = {},
    year = {2004},
    pages = {78--82},
    publisher = {ACM Press}
}

OpenURL

Abstract

All analytical and simulation research on ad hoc wireless networks must necessarily model radio propagation using simplifying assumptions. A growing body of research, however, indicates that the behavior of the protocol stack may depend significantly on these underlying assumptions. The standard response to this problem is a call for more realism in designing radio models. But how much realism is enough? This study is the first to approach this question by validating simulator performance (both at the physical and application layers) with the results of real-world data. Referencing an extensive set of measurements from a large outdoor routing experiment, we start by evaluating the relative realism of common assumptions made in radio model design, identifying those which provide a reasonable approximation of reality. Although several such investigations have been made for static sensor networks, radio behavior in mobile network deployments is a much less-studied topic. We then reproduce our experimental setup in our simulator, and generate the same applicationlayer metrics under progressively smaller sets of these assumptions. By comparing the simulated outcome to the outcome of our experiment, we are able to discern at what point our balance of simplification and realism captures the real behavior of our target environment.

Keyphrases

experimental evaluation wireless simulation assumption protocol stack radio propagation ad hoc wireless network radio behavior reasonable approximation experimental setup application layer simulator performance real-world data relative realism real behavior static sensor network radio model design less-studied topic radio model target environment simulated outcome standard response applicationlayer metric several investigation mobile network deployment much realism underlying assumption large outdoor common assumption simulation research extensive set

DMCA