Incentive Mechanisms for Crowdsensing
Crowd sensing is a mechanism that facilitates the company to accomplish by depurating the people. It provides the temporary and voluntary service supporter. However, crowdsensing experiences the problem due to user selection and payment determination. Thus problems deteriorate the incompleteness of task at present. This paper introduces more than one algorithms: The User Selection Mechanism (USM) and the Payment Determination Mechanism (PDM) that ensure the task complexity, automatic task arrangement and final judgment for the task completeness. Through rigorous theoretical analyses and extensive simulations, we demonstrate that the proposed allocation strategies achieve. Furthermore, our proposal algorithm is compared with traditional approaches. Based the results, improvements in task complexity, automatic task management and task completeness is observed.
2018 IEEE Long Island Systems, Applications and Technology Conference
(2018). Incentive Mechanisms for Crowdsensing. 2018 IEEE Long Island Systems, Applications and Technology Conference.
Available at: https://aquila.usm.edu/fac_pubs/15727