Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 24822-24842 |
| Number of pages | 21 |
| Journal | IEEE Internet of Things Journal |
| Volume | 9 |
| Issue number | 24 |
| DOIs | |
| State | Published - 15 Dec 2022 |
Keywords
- Artificial Intelligence of Things (AIoT)
- crowd intelligence
- crowd sensing and computing
- edge intelligence
- urban computing
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