A Game-Enabled Blockchain Consensus and Incentive Mechanism for Secure and Efficient Mobile Crowdsensing

Changbing Tang, Zheng Bao, Xusheng Cai, Feilong Lin*, Zhao Zhang*, Guanrong Chen

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)

Abstract

In recent years, mobile crowdsensing has emerged as a key technology for digital city construction, which acquires sensing data and mining data values with low cost and high flexibility. However, limited by the centrality of the sensing system, the complexity of the sensing process, and the uncertainty of sensing users, mobile crowdsensing has been severely suffering downgrading problems of security reliability and quality of service (QoS). In this study, a two-stage game involving blockchain technique is proposed to deal with security and QoS problems in mobile crowdsensing. First, a blockchain-based mobile crowdsensing system with a dual currency mechanism is established in a distributed manner to ensure the reliability of the sensing system. Second, a consensus protocol is designed to strengthen the security of sensing data based on a credit-based verifiers declaration game. Third, a quality rating mechanism based on the workers attitude game is established to improve the service quality of sensing tasks. Finally, some numerical results demonstrate the secure and efficient performances of mobile crowdsensing with the proposed framework. © 2007-2012 IEEE.
Original languageEnglish
Pages (from-to)210-221
JournalIEEE Systems Journal
Volume18
Issue number1
Online published5 Dec 2023
DOIs
Publication statusPublished - Mar 2024

Research Keywords

  • Blockchain
  • game theory
  • mobile crowdsensing
  • proof-of-strategy (PoST)
  • quality rating

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