Research Article

A Novel User Selection Strategy with Incentive Mechanism Based on Time Window in Mobile Crowdsensing

Table 1

Common parameters.

SSet of selected winners
SnSet of participants at night
SdSet of participants in the daytime
Night backup assembly
miThe median of the time period reported by the participant i
sStart time of participating in sensing task
eEnd time of participating in sensing task
WA unit time period of sensing task
TsThe start time of a unit time period
TeThe end time of a unit time period
The length of a time window
siStart time reported by participant i
eiEnd time reported by participant i
WeightThe ratio of participants in the reported daytime period to all participants
DPrice pool reward
piRewards received by participant i
biBid price of participant i
aiExtra rewards received by participant i
diPrice pool reward received by participant i
U, uiSet of participants, participant i
Represents the sensing time of participant i in the k-th time window
Bid price of participant i in the k-th time window
Reliability of participant i in the k-th time window
riCredit value of participant i
Sensing data volume of participant i in the k-th time window
Device battery of participant i in the k-th time window
Data benefit of the k-th time window
Trust status feedback value of participant i in the k-th time window
Degree of willingness to participate of participant i in the k-th time window
Data quality uploaded by participant i in the k-th time window
Rewards received by participant i in the k-th time window
Timeliness, completeness, accuracy, value