privacy and reliability-aware incentive system for crowd- sensing, which achieves real-time reward distribution, privacy preservation, and data reliability evaluation, si- multaneously. Furthermore, the feasibility and efficiency of PRICE are demonstrated in a synthetic and real-world dataset.
May 18, 2021 · Incentive mechanism design, data reliability evaluation, and privacy preservation are the research focuses of crowdsensing. However, most ...
Incentive mechanism design, data reliability evaluation, and privacy preservation are the research focuses of crowdsensing. However, most existing incentive ...
May 18, 2021 · Crowdsensing is regarded as a critical component of the Internet of Things (IoT) and has been widely applied in smart city services.
In this paper, we propose an Efficient and Privacy-preserving Real-time Incentive system for CrowdsEnsing (EPRICE), designed to estimate the reliability of ...
Sep 1, 2023 · In crowdsensing, we can leverage intelligent devices and real-time incentive mechanisms to facilitate the collection of reliable and timely ...
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Sep 25, 2023 · The theoretical analysis demonstrates that our proposed system achieves a high level of privacy-preserving for real-time reward distribution and ...
The experimental findings show that our proposed EPRICE system significantly decreases the computation costs by compared with other competing schemes. Publisher ...
Apr 1, 2021 · In this paper, we propose a Differentially Private Double Auction With Reliability-Aware in Mobile Crowd Sensing (DPDR). Specifically, we design ...
As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good scalability and low deployment cost but raises privacy concerns.