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

Enrico Gregori; Alessandro Improta; Luciano Lenzini; Valerio Luconi; Nilo Redini; Alessio Vecchio

doi:10.1016/j.jnca.2016.01.020

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

Networking and Internet Architecture 2022-06-02 v1

Authors: Enrico Gregori , Alessandro Improta , Luciano Lenzini , Valerio Luconi , Nilo Redini , Alessio Vecchio

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Abstract

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.

Keywords

crowdsourcing human mobility network protocol

Cite

@article{arxiv.2206.00378,
  title  = {Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks},
  author = {Enrico Gregori and Alessandro Improta and Luciano Lenzini and Valerio Luconi and Nilo Redini and Alessio Vecchio},
  journal= {arXiv preprint arXiv:2206.00378},
  year   = {2022}
}

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

Abstract

Keywords

Cite

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