Dynamic Pricing for Privacy-Preserving Mobile Crowdsensing: A Reinforcement Learning Approach

Mengyuan Zhang, Jiming Chen, Lei Yang, Junshan Zhang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

MCS is an emerging technology that exploits the enormous sensing power of widely used mobile devices to complete sensing tasks in a cost-efficient manner. Among all outstanding issues of current MCS systems, the concern about a lack of privacy protection for the sensing data of participants has drawn increasing attention recently. Various privacy-preserving MCS mechanisms have been proposed for the static scenario where users' privacy protection requirements remain unchanged. In practice, however, users' requirements for privacy protection can be time-varying, which further complicates the design of privacy-preserving MCS. In this article, we first give an overview of multiple promising approaches for privacy-preserving MCS, based on which we make a first attempt to explore privacy-preserving MCS in a dynamic scenario, which is cast as a Markov Decision Process. Specifically, we develop a reinforcement learning based approach, by which the platform can dynamically adapt its pricing policy catering to the varying privacy-preserving levels of participating users. We further use a case study to evaluate the performance of our proposed approach.

Original languageEnglish (US)
Article number8645060
Pages (from-to)160-165
Number of pages6
JournalIEEE Network
Volume33
Issue number2
DOIs
StatePublished - Mar 1 2019

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Reinforcement learning
Mobile devices
Costs

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Dynamic Pricing for Privacy-Preserving Mobile Crowdsensing : A Reinforcement Learning Approach. / Zhang, Mengyuan; Chen, Jiming; Yang, Lei; Zhang, Junshan.

In: IEEE Network, Vol. 33, No. 2, 8645060, 01.03.2019, p. 160-165.

Research output: Contribution to journalArticle

Zhang, Mengyuan ; Chen, Jiming ; Yang, Lei ; Zhang, Junshan. / Dynamic Pricing for Privacy-Preserving Mobile Crowdsensing : A Reinforcement Learning Approach. In: IEEE Network. 2019 ; Vol. 33, No. 2. pp. 160-165.
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