Differentially Private and Skew-Aware Spatial Decompositions for Mobile Crowdsensing. [PDF]
Kim JS, Chung YD, Kim JW.
europepmc +1 more source
Efficient Path Planning and Truthful Incentive Mechanism Design for Mobile Crowdsensing. [PDF]
Tao X, Song W.
europepmc +1 more source
PUEGM: A Method of User Revenue Selection Based on a Publisher-User Evolutionary Game Model for Mobile Crowdsensing. [PDF]
Shao Z, Wang H, Feng G.
europepmc +1 more source
Data collection for mobile crowdsensing in the presence of selfishness. [PDF]
Liu J, Bic L, Gong H, Zhan S.
europepmc +1 more source
Scalable and Cost-Effective Assignment of Mobile Crowdsensing Tasks Based on Profiling Trends and Prediction: The ParticipAct Living Lab Experience. [PDF]
Bellavista P +3 more
europepmc +1 more source
E-PTES-S: Enhanced Trust Evaluation via Multidimensional Spatiotemporal Fusion and Variance-Based Stability Sequence Extraction in IoT Sensing Networks. [PDF]
Liu J +5 more
europepmc +1 more source
Secure and Trusted Crowdsensing for Outdoor Air Quality Monitoring: State of the Art and Perspectives. [PDF]
Marche C +6 more
europepmc +1 more source
Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing. [PDF]
Jaimes LG, White C, Abedin P.
europepmc +1 more source
Pricing Incentive Mechanisms for Medical Data Sharing in the Internet of Things: A Three-Party Stackelberg Game Approach. [PDF]
Zhu D +5 more
europepmc +1 more source

