Mobile crowd sensing: Part 2 [Guest Editorial]

Bin Guo; Francesco Calabrese; Emiliano Miluzzo; Mirco Musolesi

doi:10.1109/MCOM.2014.6917405

Mobile crowd sensing: Part 2 [Guest Editorial]

Bin Guo
, Francesco Calabrese
, Emiliano Miluzzo
, Mirco Musolesi

School of Computer Science

Research output: Contribution to journal › Review article › peer-review

3 Scopus citations

Abstract

Mobile crowd sensing (MCS) presents a new sensing paradigm that empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g., smartphones, wearable devices, smart vehicles), and aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery. MCS benefits a number of application areas regarding urban/community dynamics monitoring, environment monitoring, traffic planning, public safety, and beyond. At the same time, numerous and unique research challenges, such as participatory data collection, optimal sensing node selection, proper incentive mechanisms, transient network communication, data quality/trust maintenance, cross-space data processing, and so on, arise from the MCS paradigm.

Original language	English
Article number	6917405
Pages (from-to)	76-77
Number of pages	2
Journal	IEEE Communications Magazine
Volume	52
Issue number	10
DOIs	https://doi.org/10.1109/MCOM.2014.6917405
State	Published - 1 Oct 2014

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Mobile crowd sensing: Part 2 [Guest Editorial]

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