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Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing

  • Guoying Zhang
  • , Fen Hou
  • , Lin Gao
  • , Guanghua Yang
  • , Lin X. Cai
  • University of Macau
  • Harbin Institute of Technology Shenzhen
  • Jinan University
  • Illinois Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we consider the nondeterministic mobility of mobile users, where the platform only has the probability distribution about users' mobility. We design an effective mechanism to achieve high quality data collection with the objective of maximizing the expected social welfare. Simulation results show the better performance of the proposed mechanism compared with four counterparts. In addition, the proposed mechanism also satisfies truthfulness and individual rationality.

Original languageEnglish
Title of host publication2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194844
DOIs
StatePublished - Nov 2020
Externally publishedYes
Event92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada
Duration: 18 Nov 2020 → …

Publication series

NameIEEE Vehicular Technology Conference
Volume2020-November
ISSN (Print)1550-2252

Conference

Conference92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
Country/TerritoryCanada
CityVirtual, Victoria
Period18/11/20 → …

Keywords

  • Incentive mechanism
  • crowdsensing
  • nondeterministic mobility

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