Name
Abstract | ||
|---|---|---|
Crowdsensing is regarded as a critical component of the Internet of Things (IoT) and has been widely applied in smart city services. Incentive mechanism design, data reliability evaluation, and privacy preservation are the research focuses of crowdsensing. However, most existing incentive mechanisms fail to protect data privacy and evaluate data credibility, simultaneously. Moreover, traditional p... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2021.3081596 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Sensors,Reliability,Real-time systems,Data privacy,Crowdsensing,Cryptography,Task analysis | Journal | 8 |
Issue | ISSN | Citations |
24 | 2327-4662 | 1 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bowen Zhao | 1 | 14 | 6.32 |
| Ximeng Liu | 2 | 135 | 31.84 |
| Wei-Neng Chen | 3 | 143 | 13.16 |
| Wei Liang | 4 | 125 | 10.04 |
| Xinglin Zhang | 5 | 41 | 7.02 |
| R.H Deng | 6 | 4423 | 362.82 |