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dc.contributor.authorKone, Vinod
dc.contributor.authorZheleva, Mariya
dc.contributor.authorWittie, Mike P.
dc.contributor.authorZhang, Zengbin
dc.contributor.authorZhao, Xiaohan
dc.contributor.authorZhao, Ben Y.
dc.contributor.authorBelding, Elizabeth M.
dc.contributor.authorZheng, Haitao
dc.contributor.authorAlmeroth, Kevin C.
dc.date.accessioned2014-02-19T18:51:57Z
dc.date.available2014-02-19T18:51:57Z
dc.date.issued2010
dc.identifier.citationVinod Kone, Mariya Zheleva, Mike P. Wittie, Zengbin Zhang, Xiaohan Zhao, Ben Y. Zhao, Elizabeth M. Belding, Haitao Zheng, Kevin C. Almeroth "AirLab: Distributed Infrastructure for Wireless Measurements," (poster) in USENIX NSDI, 2010en_US
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/3125
dc.description.abstractThe importance of experimental research in the field of wireless networks is well understood. So far researchers have either built their own testbeds or accessed third-party controlled testbeds (http://orbit-lab.org) or used publicly available traces (http://crawdad.cs.dartmouth.edu) for evaluation. While immensely useful, all these approaches have their drawbacks. While building own test beds requires cost and effort, third-party controlled test beds do not replicate real network deployments. On the other hand, the publicly available traces are often collected using different software and hardware platforms, making it very difficult to compare results across traces. As a result, observations are often inconsistent across different networks, leading researchers to draw potentially conflicting conclusions across their own studies. To facilitate meaningful analysis of wireless networks and protocols, we need a way to collect measurement traces across a wide variety of network deployments, all using a consistent set of measurement metrics. Widespread multi-faceted data collection will provide multiple viewpoints of the same network, enabling deeper understanding of both self and exterior interference properties, spectrum usage, network usage, and a wide variety of other factors. Furthermore, data collected in this manner across a variety of heterogeneous network types, such as university, corporate, and home environments, will facilitate cross-comparison of observed network phenomena within each of these settings. To address the critical need for comparable and consistent wireless traces, we propose AirLab, a publicly accessible distributed infrastructure for wireless measurementsen_US
dc.language.isoen_USen_US
dc.publisherUSENIXen_US
dc.subjectComputer Scienceen_US
dc.titleAirLab: Distributed Infrastructure for Wireless Measurementsen_US
dc.typePresentationen_US
mus.citation.conferenceUSENIX Symposium on Networked Systems Design and Implementation (NSDI)
mus.citation.journaltitleProceedings of NSDI
mus.identifier.categoryEngineering & Computer Science
mus.relation.collegeCollege of Engineering
mus.relation.departmentComputer Science.en_US
mus.relation.universityMontana State University - Bozemanen_US


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