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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
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Probabilistic Coverage Constraint Task Assignment with Privacy Protection in Vehicular Crowdsensing.

Zhe Li1, Xiaolong Liu1, Yang Huang1

  • 1College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China.

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|September 28, 2023
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Summary
This summary is machine-generated.

Vehicular crowdsensing uses smart devices for environmental data. This study introduces a User-Based Task Assignment (UBTA) mechanism that minimizes costs and protects user privacy by considering task duration, not just deadlines.

Keywords:
differential privacyspatio-temporal correlationtask assignmentvehicular crowdsensing

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Area of Science:

  • Computer Science
  • Environmental Science
  • Mobile Computing

Background:

  • Vehicular crowdsensing leverages smart devices for real-time environmental data collection.
  • Efficient task assignment is critical due to increasing users and tasks.
  • Existing methods neglect task duration and user-perceived duration privacy.

Purpose of the Study:

  • To address limitations in vehicular crowdsensing task assignment.
  • To propose a privacy-preserving mechanism considering task duration.
  • To minimize participant numbers and payment costs while ensuring task completion probability.

Main Methods:

  • Developed the User-Based Task Assignment (UBTA) mechanism.
  • Incorporated probability coverage constraints for participant selection.
  • Introduced a differential privacy method to protect sensing duration data.

Main Results:

  • UBTA minimizes participant sets and payment costs.
  • The proposed privacy method effectively safeguards user-perceived duration.
  • Demonstrated algorithm efficacy through theoretical analysis and simulations.

Conclusions:

  • The UBTA mechanism offers an efficient and privacy-preserving solution for vehicular crowdsensing task assignment.
  • Considering task duration and protecting perceived duration are crucial for robust systems.
  • The study highlights the importance of advanced privacy techniques in crowdsensing applications.