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Summary: AirLab: Consistency, Fidelity and Privacy in Wireless
Measurements
Vinod Kone, Mariya Zheleva, Mike Wittie,
Ben Y. Zhao, Elizabeth M. Belding, Haitao Zheng, Kevin C. Almeroth
Department of Computer Science
University of California, Santa Barbara
{vinod, mariya, mwittie, ravenben, ebelding, htzheng, almeroth}@cs.ucsb.edu
This article is an editorial note submitted to CCR. It has NOT been peer reviewed. The author takes full responsibility for this
article's technical content. Comments can be posted through CCR Online.
ABSTRACT
Accurate measurements of deployed wireless networks are vital
for researchers to perform realistic evaluation of proposed systems.
Unfortunately, the difficulty of performing detailed measurements
limits the consistency in parameters and methodology of current
datasets. Using different datasets, multiple research studies can ar-
rive at conflicting conclusions about the performance of wireless
systems. Correcting this situation requires consistent and compara-
ble wireless traces collected from a variety of deployment environ-
ments. In this paper, we describe AirLab, a distributed wireless data
collection infrastructure that uses uniformly instrumented measure-
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