TY - GEN
T1 - Analysis of large-scale experimental data from wireless networks
AU - Seidel, Stephen A.
AU - Mehari, Michael T.
AU - Colbourn, Charles
AU - De Poorter, Eli
AU - Moerman, Ingrid
AU - Syrotiuk, Violet
N1 - Funding Information:
ACKNOWLEDGEMENTS This work is supported in part by the U.S. National Science Foundation under Grant No. 1421058, by the IWT project “SAMURAI: Software Architecture and Modules for Unified RAdIo control,” and by the European Commission Horizon 2020 Programme under grant agreement n 688116 (eWINE).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - The experimental design and subsequent analysis of the data collected from experimentation are tightly coupled. This paper considers techniques for the analysis of data collected from experimentation based on a locating array. Because locating arrays can be highly unbalanced, new analysis techniques are required. In order to cope with noise in the measured performance data, a search is conducted to identify the significant parameters and interactions that impact the data. A novel 'heavy hitters' bounded breadth-first search (BFS) tree algorithm is proposed for analysis. It is used to validate data collected from large-scale experimentation with a physical wireless network testbed and a wireless network simulator, varying 24 and 75 parameters, respectively.
AB - The experimental design and subsequent analysis of the data collected from experimentation are tightly coupled. This paper considers techniques for the analysis of data collected from experimentation based on a locating array. Because locating arrays can be highly unbalanced, new analysis techniques are required. In order to cope with noise in the measured performance data, a search is conducted to identify the significant parameters and interactions that impact the data. A novel 'heavy hitters' bounded breadth-first search (BFS) tree algorithm is proposed for analysis. It is used to validate data collected from large-scale experimentation with a physical wireless network testbed and a wireless network simulator, varying 24 and 75 parameters, respectively.
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U2 - 10.1109/INFCOMW.2018.8407023
DO - 10.1109/INFCOMW.2018.8407023
M3 - Conference contribution
AN - SCOPUS:85049895959
T3 - INFOCOM 2018 - IEEE Conference on Computer Communications Workshops
SP - 535
EP - 540
BT - INFOCOM 2018 - IEEE Conference on Computer Communications Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
Y2 - 15 April 2018 through 19 April 2018
ER -