CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT

Bin Guo, Yan Liu, Sicong Liu, Zhiwen Yu, Xingshe Zhou

科研成果: 期刊稿件文章同行评审

24 引用 (Scopus)

摘要

Mobile crowd sensing and computing (MCSC) has become a hot research area in recent years. This article presents our vision of the next generation of MCSC, crowd intelligence with the deep fusion of human, machine, and Internet of Things (IoT), namely, CrowdHMT. It aims to build a self-organizing, self-learning, self-adaptive, and continuous-evolving smart space with the deep fusion of Crowdsourced human, machine, and IoT intelligence. This article first characterizes the concept of CrowdHMT. We further investigate its challenges and techniques, and present its main application areas. Finally, we make discussions about the open issues and future research directions of CrowdHMT.

源语言英语
页(从-至)24822-24842
页数21
期刊IEEE Internet of Things Journal
9
24
DOI
出版状态已出版 - 15 12月 2022

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