A blockchain-powered crowdsourcing method with privacy preservation in mobile environment

Xiaolong Xu, Qingxiang Liu*, Xuyun Zhang, Jie Zhang, Lianyong Qi, Wanchun Dou

*Corresponding author for this work

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

Crowdsourcing is a booming technique that enables participants to exchange data directly, thus making it possible to answer latency-sensitive service requests and relieve the burden of core networks. With some incentives, providers compete to furnish service requests, thus pledging the quality of experience (QoE) for requestors. However, the decentralized communication in crowdsourcing increases the probability of information tapering. Furthermore, providers' arbitrary selection of the requests poses great threat to the efficient and profitable service provision for the requestors. To deal with these challenges, we propose a blockchain-powered crowdsourcing method, named BPCM, while considering the privacy preservation in mobile environment. Specifically, a mobile crowdsourcing framework based on blockchain is designed first to preserve the privacy of the participants and keep the integrity of the service request and provision. Then, density-based spatial clustering of applications with noise (DBSCAN) and improved dynamic programming (IDP) are adopted to cluster the requestors and generate service strategies, respectively. Furthermore, simple additive weighting (SAW) and multiple criteria decision making (MCDM) are utilized to select the optimal strategy that achieves the tradeoffs among maximizing the service time, increasing the profits, and reducing the energy consumption for the providers. Finally, comprehensive experiments are conducted to verify the accuracy and effectiveness of BPCM.

Original languageEnglish
Pages (from-to)1407-1419
Number of pages13
JournalIEEE Transactions on Computational Social Systems
Volume6
Issue number6
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes

Keywords

  • Blockchain
  • crowdsourcing
  • mobile environment
  • privacy preservation

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