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Towards fair and efficient task allocation in blockchain-based crowdsourcing

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CCF Transactions on Networking

Abstract

Crowdsourcing has been a popular paradigm leveraging the power of the crowd to accomplish a common goal. Traditional crowdsourcing systems rely on a centralized platform to allocate tasks and rewards to users, facing severe problems of single node failure and malicious behaviors of the platform. Recently, some works take advantage of blockchain to solve the drawback of centralization. However, the key issue, fair and efficient task allocation, has not been explored in existing blockchain-based crowdsourcing systems. In this paper, we design a novel blockchain-based framework for crowdsourcing, in which a distributed reverse and blind auction-based task allocation mechanism (RbatAlloc) is proposed utilizing user profile and bidding price to realize fair and efficient task allocation in transparent blockchain environment. Finally, we implement a prototype of our system and deploy it to a locally developed network. The experimental results demonstrate the effectiveness of the proposed framework and mechanism.

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Acknowledgements

This work was supported by National Natural Science of China under Grant No. 61872274 and Fundamental Research Funds for the Central Universities under Grant No. 2042019gf0098.

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Authors and Affiliations

  1. School of Cyber Science and Engineering, Wuhan University, Wuhan, People’s Republic of China

    Xiaoyi Pang, Dengfeng Guo, Zhibo Wang, Peng Sun & Liqiang Zhang

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  1. Xiaoyi Pang
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  2. Dengfeng Guo
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  3. Zhibo Wang
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  4. Peng Sun
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  5. Liqiang Zhang
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Correspondence to Zhibo Wang.

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Pang, X., Guo, D., Wang, Z. et al. Towards fair and efficient task allocation in blockchain-based crowdsourcing. CCF Trans. Netw. 3, 193–204 (2020). https://doi.org/10.1007/s42045-020-00043-w

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