Blockchain-based multi-skill mobile crowdsourcing services

EURASIP Journal on Wireless Communications and Networking

Weize Xu¹  Xiao Chen²  Deyong Liu³  Yichao Chen³  Hongyue Duan³  Jie Huang⁴ 

[1] Department of Cardiac Surgery, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health;Institute of Scientific and Technical Information of Zhejiang Province;School of Computer Science and Technology, Hangzhou Dianzi University;School of Information and Electronic Engineering, Zhejiang University of Science and Technology;

关键词: Mobile crowdsourcing;    Blockchain;    Spatial communication;    Smart contract;   

DOI  :  10.1186/s13638-022-02135-1

来源: DOAJ

【 摘 要 】

Abstract 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.

【 授权许可】

Unknown