Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems 2013
DOI: 10.1145/2517351.2517397
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Network sensing through smartphone-based crowdsourcing

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Cited by 9 publications
(1 citation statement)
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“…Recent efforts have leveraged crowdsourcing to collect large-scale wireless measurements, enabling them to characterize wireless signal propagation and user mobility [7,16,28], to understand network performance and coverage [9,11,21], and to improve indoor localization accuracy [19,24]. Our work adopts a similar crowdsourcing approach but focuses on achieving real-time spectrum monitoring using low-cost mobile measurement platforms.…”
Section: Crowdsourcing and Wireless Measurementsmentioning
confidence: 99%
“…Recent efforts have leveraged crowdsourcing to collect large-scale wireless measurements, enabling them to characterize wireless signal propagation and user mobility [7,16,28], to understand network performance and coverage [9,11,21], and to improve indoor localization accuracy [19,24]. Our work adopts a similar crowdsourcing approach but focuses on achieving real-time spectrum monitoring using low-cost mobile measurement platforms.…”
Section: Crowdsourcing and Wireless Measurementsmentioning
confidence: 99%