Mobile crowd sensing: Part 2 [Guest Editorial]

Bin Guo, Francesco Calabrese, Emiliano Miluzzo, Mirco Musolesi

科研成果: 期刊稿件文献综述同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
文章编号6917405
页(从-至)76-77
页数2
期刊IEEE Communications Magazine
52
10
DOI
出版状态已出版 - 1 10月 2014

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