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Dynamic incentive mechanism in mobile crowdsourcing networks by combining reputation and contract theory

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Listed:
  • Nan Zhao
  • Qixuan Wan
  • Jinlian Chen
  • Minghu Wu

Abstract

By utilizing the mobile terminals’ sensing and computing capabilities, mobile crowdsourcing network is considered to be a promising technology to support the various large-scale sensing applications. However, considering the limited resources and security issue, mobile users may be unwilling to participate in crowdsourcing without any incentive. In this work, by combining reputation and contract theory, a dynamic long-term incentive mechanism is proposed to attract the mobile users to participate in mobile crowdsourcing networks. A two-period dynamic contract is first investigated to deal with the asymmetric information problem in the crowdsourcing tasks. Reputation strategy is then introduced to further attract the mobile users to complete the long-term crowdsourcing tasks. The optimal contracts are designed to obtain the maximum expected utility of service provider with reputation strategy and without reputation strategy, respectively. Simulation results demonstrate that the long-term crowdsourcing tasks can be guaranteed by combining the contract’s explicit incentive with the reputation’s implicit incentive. The incentive mechanism can gain a higher expected utility, the more implicit reputation effect factor.

Suggested Citation

  • Nan Zhao & Qixuan Wan & Jinlian Chen & Minghu Wu, 2022. "Dynamic incentive mechanism in mobile crowdsourcing networks by combining reputation and contract theory," International Journal of Distributed Sensor Networks, , vol. 18(6), pages 15501329221, June.
    • Handle: RePEc:sae:intdis:v:18:y:2022:i:6:p:15501329221104352
    DOI: 10.1177/15501329221104352
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    References listed on IDEAS

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    1. Harvey, Campbell R., 2001. "The specification of conditional expectations," Journal of Empirical Finance, Elsevier, vol. 8(5), pages 573-637, December.
    2. Pierre Chaigneau, 2015. "Risk aversion, prudence, and compensation," The European Journal of Finance, Taylor & Francis Journals, vol. 21(15), pages 1357-1373, December.
    3. Robert Gibbons, 2005. "Incentives Between Firms (and Within)," Management Science, INFORMS, vol. 51(1), pages 2-17, January.
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