When mobile crowd sensing meets traditional industry

Shu, Lei, Yuangfang, Chen, Huo, Zhiqiang , Bergmann, Neil and Wang, Lei (2017) When mobile crowd sensing meets traditional industry. IEEE Access . ISSN 2169-3536

Full content URL: https://doi.org/10.1109/ACCESS.2017.2657820

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Item Type:Article
Item Status:Live Archive


With the evolution of mobile phone sensing and wireless networking technologies, mobile crowd sensing (MCS) has become a promising paradigm for large-scale sensing applications. MCS is a type of multi-participant sensing that has been widely used by many sensing applications because of its inherent capabilities, e.g., high mobility, scalability, and cost effectiveness. This paper reviews the existing works of MCS and clarifies the operability of MCS in sensing applications.With wide use and operability of MCS, MCS’s industrial applications are investigated based on the clarifications of (i) the evolution of industrial sensing, and (ii) the benefits MCS can provide to current industrial sensing. As a feasible industrial sensing paradigm, MCS opens up a new field that provides a flexible, scalable, and costeffective solution for addressing sensing problems in industrial spaces.

Keywords:Robot sensing systems, Monitoring, Mobile handsets, Industries, Scalability
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:26029
Deposited On:03 Feb 2017 13:34

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