Adaptive Reward Allocation for Participatory Sensing

Table 1

Notations.

	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.