Research Article
A New Differential Privacy Crowdsensing Scheme Based on the Multilevel Interactive Game
Table 1
System parameters used in the simulation experiments.
| Sensing Tasks | Total MCS cycles | -LDP value | Service Duration |
| | 4.5 K sensing cycles/s | 0.1 | 3,000 sec (50 min) | | 6.5 K sensing cycles/s | 0.15 | 2,700 sec (45 min) | | 9 K sensing cycles/s | 0.2 | 2,880 sec (48 min) | | 12 K sensing cycles/s | 0.25 | 2,760 sec (46 min) |
| Parameter | Value | Description |
| | 4 | the number of DP controllers | n | 100 | the number of mobile devices | | 1.25, 2 | the minimum and maximum privacy levels | | 1, 1.5, 2, 2.5, 3 | the MCS service price per bit | | 200, 600 cycles/s | the minimum and maximum sensing data amounts | | 1.2, 2 | the minimum and maximum proportional sharing factors | | 0.1 | the learning rate for DP controllers | | 0.9 | the recency parameter to select a DP controller | | 0.5 | the parameter to avoid a premature convergence | | 4 | the weight parameter to select a DP controller | , | 1.5, 1 | the estimation parameters to calculate the DP cost | , | 1.1, 0.7 | the estimation parameters to calculate the service cost | | 1.5 | the learning rate for mobile devices | , | 0.1, 0.1 | the learning rate parameters for the MCS servers | | 0.5 | the control factor for the MCS server |
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