王雷

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:天津大学

学位:博士

所在单位:软件学院、国际信息与软件学院

电子邮箱:lei.wang@dlut.edu.cn

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When Mobile Crowd Sensing Meets Traditional Industry

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论文类型:期刊论文

第一作者:Shu, Lei

通讯作者:Chen, YF (reprint author), Guangdong Univ Petrochem Technol, Guangdong Prov Key Lab Petrochem Equipment Fault, Maoming 525000, Peoples R China.

合写作者:Chen, Yuanfang,Huo, Zhiqiang,Bergmann, Neil,Wang, Lei

发表时间:2017-01-31

发表刊物:IEEE ACCESS

收录刊物:SCIE、EI

卷号:5

页面范围:15300-15307

ISSN号:2169-3536

关键字:Industrial sensing; Internet of Things; mobile crowd sensing; wireless sensor networks

摘要: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: 1) the evolution of industrial sensing and 2) 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 cost-effective solution for addressing sensing problems in industrial spaces.