Staged Incentive and Punishment Mechanism for Mobile Crowd Sensing

. 2018 Jul 23;18(7):2391. doi: 10.3390/s18072391

Algorithm 1 Strackelberg-based game interaction process

1:
The sensing platform releases a sensing task, $t a s k$ , and calculates payment incentive coefficient, C, whose upper limit is defined as $C T H$ ;
2:
The sensing platform pushes $t a s k$ and C to the set of potential participants U;
3:
For each $u_{i} (ω_{i}, c_{i}) \in U$ , he/she decides and reports ( $ω_{i}, c_{i}$ ) to the sensing platform, and the sensing platform forms a collection of potential participants, $U = {u_{1} (ω_{1}, c_{1}), u_{2} (ω_{2}, c_{2}), . . .}$ ;
4:
The sensing platform conducts statistics on U:

4.1 if $\exists u_{i} (ω_{i}, c_{i}) \in U$ and $ω_{i}$ = 0

then if $C < C T H$ ;

then $C \leftarrow C + ε$ ; go to step 2;

else go to step 5;

4.2 if $\forall u_{i} (ω_{i}, c_{i}) \in U$ and $ω_{i}$ = 1

then go to step 5;
5:
The sensing platform chooses participants according to $c_{i}$ of $u_{i}$ whose $ω_{i}$ = 0 in U and constructs a collection of participants, $U^{'}$ ;
6:
return Participant set, $U^{'}$ .