Abstract | ||
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Mobile social sensing leverages a large group of individuals having mobile devices capable of sensing and computing to perform intelligence sensing tasks. To perform smart participant selection (i.e. task assignment) for mobile social sensing, most of the cloud-based platforms often require mobile users to report their personal information, such as sensing cost, location and sensing quality. There... |
Year | DOI | Venue |
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2021 | 10.1109/TNSE.2020.3020159 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Sensors,Servers,Cloud computing,Task analysis,Privacy,Data privacy,Delays | Journal | 8 |
Issue | ISSN | Citations |
2 | 2327-4697 | 1 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ting Li | 1 | 265 | 49.83 |
Zhijin Qiu | 2 | 8 | 2.79 |
Lijuan Cao | 3 | 15 | 3.36 |
Dazhao Cheng | 4 | 107 | 11.72 |
Weichao Wang | 5 | 21 | 5.93 |
Xinghua Shi | 6 | 209 | 19.00 |
Yu Wang | 7 | 1432 | 87.32 |