@article{xu_duan_chen_huang_liu_chen_2022, 
  title={Blockchain-based multi-skill mobile crowdsourcing services}, 
  volume={2022}, 
  DOI={10.1186/s13638-022-02135-1}, 
  abstractNote={<jats:title>Abstract</jats:title><jats:p>With the boom in 5G technology, mobile spatial crowdsourcing has shown great dynamism in industrial mobile communications and edge computing node management. But the traditional crowdsourcing system is not advanced enough to adapt to the new environment. Typically, traditional crowdsourcing workflow is hosted by a centralized crowdsourcing platform. However, the centralized crowdsourcing platform faces the following problems: (1) single point of failure, (2) user privacy leakage, (3) subjective arbitration, (4) additional service fee, and (5) non-transparent task assignment process. To improve those problems, we replaced the centralized crowdsourcing platform with a decentralized blockchain infrastructure. And we analyzed the challenge problems of multi-skilled spatial crowdsourcing tasks in the blockchain crowdsourcing system. In addition, a crowdsourcing task allocation algorithm has been proposed, which implements a transparent task distribution process and can adapt to the computing-constrained environment on the blockchain. Compared with the TSWCrowd blockchain-based crowdsourcing model, our system has a higher task allocation rate under the same conditions. And the experimental result shows our work has good economic feasibility, which decentralizes the crowdsourcing process and significantly reduces the additional consumption of the crowdsourcing process.</jats:p>}, 
  publisher={Springer Science and Business Media LLC}, 
  author={Xu, Weize and Duan, Hongyue and Chen, Xiao and Huang, Jie and Liu, Deyong and Chen, Yichao}, 
  year={2022}, 
  month={Jun}
  }