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MOBICOM
2004
ACM

Characterizing flows in large wireless data networks

9 years 2 months ago
Characterizing flows in large wireless data networks
Several studies have recently been performed on wireless university campus networks, corporate and public networks. Yet little is known about the flow-level characterization in such networks. In this paper, we statistically characterize both static flows and roaming flows in a large campus wireless network using a recently-collected trace. For static flows, we take a two-tier approach to characterizing the flow arrivals, which results a Weibull regression model. We further discover that the static flow arrivals in spatial proximity show strong similarity. As for roaming flows, they can also be well characterized statistically. We explain the results by user behaviors and application demands, and further crossvalidate the modeling results by three other traces. Finally, we use two examples to illustrate how to apply our models for performance evaluation in the wireless context. Categories and Subject Descriptors C.2.3 [Computer-Communication Networks]: Network Operations—Netwo...
Xiaoqiao Meng, Starsky H. Y. Wong, Yuan Yuan, Song
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MOBICOM
Authors Xiaoqiao Meng, Starsky H. Y. Wong, Yuan Yuan, Songwu Lu
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