Research Article
Adaptive Reward Allocation for Participatory Sensing
| | Left hand side of Drift Plus Penalty expression. |
| | Right hand side of Drift Plus Penalty expression. |
| (R) | Last Lyapunov function calculated for a particular reward. |
| | Total Number of Offers |
| | Current Lyapunov Optimization calculation. |
| | Lyapunov Optimization solution. |
| | Number of Participants. |
| predict | Predict using Linear Regression model. |
| | The optimal value for the reward. |
| | Set of possible reward values. |
| R(t) | The optimal reward to offer in a particular timeslot, t. |
| R, , (t), (t) | Reward, number of predicted responses and queuing state variables for this reward. |
| R, , (t) | The set of rewards, their respective queuing state variables and number of predicted responses. |
| | Actual responses for the different reward levels. |
| | The number of predicted responses for the different reward levels. |
| | Total number of responses |
| | A map of data utility weightings and the constant V used for computing the Lyapunov Drift. |
| | One-slot conditional Lyapunov Drift. |
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