BSense: A Flexible and Open-Source Broadband Mapping Framework

Bernardi, Giacomo; Fenacci, Damon; Marina, Mahesh K.

doi:10.1007/s11036-014-0542-7

Cited by 3 publications

(2 citation statements)

References 22 publications

(14 reference statements)

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“…The unique perspective of participants and the involvement of a large number of end-users enable the collection of an unprecedented amount of information on the status of the network, especially at the edges of the Internet. BSense is a system aimed at creating maps concerning the quality of broadband connections [42]. The system relies on a software agent that is executed on broadband users' machines.…”

Section: Crowdsourcing For Evaluating Network Propertiesmentioning

confidence: 99%

Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks

Gregori,

Improta,

Lenzini

et al. 2022

Preprint

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Crowdsourcing enables the fine-grained characterization and performance evaluation of today's large-scale networks using the power of the masses and distributed intelligence. This paper presents SmartProbe, a system that assesses the bottleneck capacity of Internet paths using smartphones, from a mobile crowdsourcing perspective. With SmartProbe measurement activities are more bandwidth efficient compared to similar systems, and a larger number of users can be supported. An application based on SmartProbe is also presented: georeferenced measurements are mapped and used to compare the performance of mobile broadband operators in wide areas. Results from one year of operation are included.

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Section: Crowdsourcing For Evaluating Network Propertiesmentioning

confidence: 99%

Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks

Gregori,

Improta,

Lenzini

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…BSense is a system aimed at creating maps concerning the quality of broadband connections [42]. The system relies on a software agent that is executed on broadband users' machines.…”

Section: Crowdsourcing For Evaluating Network Propertiesmentioning

confidence: 99%