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| Title | Utility-Based Dual Pricing Incentive Mechanism For Multi-Stakeholder In Mobile Crowd Sensing |
|---|---|
| ID_Doc | 60693 |
| Authors | Yao X.-W.; Xing W.-W.; Qi C.-F.; Li Q. |
| Year | 2025 |
| Published | Internet of Things (The Netherlands), 29 |
| DOI | http://dx.doi.org/10.1016/j.iot.2024.101470 |
| Abstract | Mobile Crowd Sensing (MCS), as a burgeoning paradigm for collecting sensory data, has witnessed broad applications, particularly in domains such as smart city and smart agriculture. The successful implementation of MCS hinges crucially on the active engagement of all stakeholders within the system. Therefore, designing an incentive mechanism that comprehensively considers their interests is of paramount importance. To address this challenge, this article conceptualizes the MCS system as a sensing market, modeling the sensing activities between data requesters and participants as a queueing process. We propose a utility-based dual pricing incentive mechanism for multi-stakeholder in MCS, positioning the sensing platform as the invisible hand of the sensing market, dynamically providing incentives for both data requesters and participants. Furthermore, beyond the traditional social utility maximization and sensing platform utility maximization incentive modes, we design two utility equilibrium incentive modes to address the diverse incentive requirements of all stakeholders based on their participation status. To our knowledge, this is the first attempt in the field of incentive mechanisms for MCS. One incentive mode focuses on the utility equilibrium between the sensing platform and data requesters, while the other addresses the utility equilibrium between the sensing platform and participants. Simulations and theoretical analyses validate the effectiveness of the proposed incentive mechanism, demonstrating its capacity to offer diverse incentives tailored to the engagement of data requesters and participants across various incentive modes. This facilitates the adept modulation of sensing activities, addressing the varied incentive requirements of multiple stakeholders within the MCS system. © 2024 Elsevier B.V. |
| Author Keywords | Incentive mechanism; Mobile Crowd Sensing (MCS); Queueing process; Utility equilibrium incentive mode; Utility theory |
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