NDLI: Opportunities and challenges of using crowdsourced measurements for mobile network benchmarking a case study on RTR open data

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Opportunities and challenges of using crowdsourced measurements for mobile network benchmarking a case study on RTR open data

Content Provider	Semantic Scholar
Author	Midoglu, Cise Svoboda, Philipp
Copyright Year	2016
Abstract	Crowdsourcing is a novel paradigm which has applications in a plethora of disciplines including software development, public administration, and communication technologies. In the field of telecommunications, crowdsourcing makes a viable addition to state of the art benchmarking methods for mobile networks, when combined with mobile sensing approaches to employ smartphones as end nodes. In this paper, we review the opportunities and challenges of using crowdsourced measurements from smartphones for benchmarking mobile networks, and demonstrate some of these generic aspects using an open data set containing over two million entries. We show that there is a big potential to distributing performance measurements towards the peripherals of the network, but in order to achieve accurate benchmarking, the collection of data has to be complemented with appropriate signal processing. Our study also emphasizes the importance of open data and open source tooling in achieving fairness and repeatability.
Starting Page	996
Ending Page	1005
Page Count	10
File Format	PDF HTM / HTML
DOI	10.1109/SAI.2016.7556101
Alternate Webpage(s)	https://publik.tuwien.ac.at/files/PubDat_251333.pdf
Alternate Webpage(s)	https://doi.org/10.1109/SAI.2016.7556101
Journal	2016 SAI Computing Conference (SAI)
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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