Incentive Scheme for Cyber Physical Social Systems Based on User Behaviors

Zhou Su, Qifan Qi, Qichao Xu, Song Guo, Xiaowei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

40 Citations (Scopus)


Cyber-physical social system (CPSS) has emerged as a new paradigm to help social users share and exchange data by the close association with the cyberspace and physical world. To further improve the performance of CPSS, the incentive computing scheme to provide efficient crowd sourcing in the CPPS becomes a challenge. Therefore, in this paper we propose a novel incentive scheme for CPSS based on the reputation of social users. First, we present a framework to provide crowd sourcing service in CPSS by dividing social users into three types, which are malicious users, speculative users and honest users, respectively. Second, based on the reputation of social users, an incentive scheme is proposed to encourage users to contribute sourcing data. Next, an auction game model is developed to help CPSS select the optimal social user to obtain the needed data. Finally, simulation results show that the proposal can obtain a lower cost and higher data accuracy than other conventional methods.

Original languageEnglish
Article number7862854
Pages (from-to)92-103
Number of pages12
JournalIEEE Transactions on Emerging Topics in Computing
Issue number1
Publication statusPublished - 1 Jan 2020


  • auction game
  • crowd sourcing
  • Cyber-physical social system
  • social and behavioral sciences
  • social computing

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications


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