Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3297156.3297239acmotherconferencesArticle/Chapter ViewAbstractPublication PagescsaiConference Proceedingsconference-collections
research-article

An Implement of Smart Contract Based Decentralized Online Crowdsourcing Mechanism

Published: 08 December 2018 Publication History

Abstract

With the gradual promotion, crowdsourcing has become an efficient way to solve problems that are very complicated for computers and simple for human crowd intelligence in recent years. Traditional crowdsourcing is based on a central system where requesters post tasks on a crowdsourcing central server or platform, however, this centralized model currently faces various challenges such as prohibitive cost, single point of failure, and vulnerability to malicious attacks. To this end, this paper proposes a smart contract-based decentralized online crowdsourcing mechanism, which includes task assignment rules and reward payment rules, etc. The mechanism has the characteristics like decentralization, unalterable, truthfulness and so on. In addition, the corresponding smart contract is designed, so that the mechanism can really run and process the actual data, and the effectiveness is shown by experiments. In this way, the entire crowdsourcing process no longer requires the participation of trusted third-party agencies, information and privacy security is guaranteed, and the cost is lower.

References

[1]
J. Howe, "The rise of crowdsourcing," Wired magazine, vol. 14, no. 6, pp. 1--4, 2006.
[2]
M. Li, J. Weng, A. Yang, W. Lu, Y. Zhang, L. Hou, and J. Liu, "Crowdbc: A blockchain-based decentralized framework for crowdsourcing,"
[3]
C. J. Ho and J. W. Vaughan, "Online task assignment in crowdsourcing markets," in Twenty-Sixth AAAI Conference on Artificial Intelligence, pp. 45--51, 2012.
[4]
A. Singla and A. Krause, "Truthful incentives in crowdsourcing tasks using regret minimization mechanisms.," pp. 1167--1178, 2013.
[5]
X. Zhang, G. Xue, R. Yu, D. Yang, and J. Tang, "Truthful incentive mechanisms for crowdsourcing," in Computer Communications, pp. 2830--2838, 2015.
[6]
J. Ren, Y. Zhang, K. Zhang, and X. Shen, "Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions," IEEE Communications Magazine, vol. 53, no. 3, pp. 98--105, 2015.
[7]
A. Badanidiyuru, R. Kleinberg, and Y. Singer, "Learning on a budget:posted price mechanisms for online procurement," in ACM Conference on Electronic Commerce, pp. 128--145, 2012.
[8]
Y. Wen, J. Shi, Q. Zhang, X. Tian, Z. Huang, H. Yu, Y. Cheng, and X. Shen, "Quality-driven auction-based incentive mechanism for mobile crowd sensing," IEEE Transactions on Vehicular Technology, vol. 64, no. 9, pp. 4203--4214, 2015.
[9]
N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing. ieee commun mag," vol. 48, no. 9, pp. 140--150, 2010.
[10]
Y. Wu, J. R. Zeng, H. Peng, H. Chen, and C. P. Li, "Survey on incentive mechanisms for crowd sensing," 2016.
[11]
D. Zhao, X. Y. Li, and H. Ma, "Budget-feasible online incentive mechanisms for crowdsourcing tasks truthfully," IEEE/ACM Transactions on Networking, vol. 24, no. 2, pp. 647--661, 2016.
[12]
D. Zhao, X. Y. Li, and H. Ma, "How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint," in IEEE INFOCOM, pp. 1213--1221, 2014.
[13]
J. Ping, S. Chen, N. Zhang, Z. Yan, and L. Yao, "Decentralized transactive mechanism in distribution network based on smart contract," Proceedings of the Csee, 2017.
[14]
T. F. Xue, Q. C. Fu, C. Wang, and X. Y. Wang, "A medical data sharing model via blockchain," Acta Automatica Sinica, vol. 43, no. 9, pp. 1555--1562, 2017.

Cited By

View all
  • (2023)BFCRI: A Blockchain-Based Framework for Crowdsourcing With Reputation and IncentiveIEEE Transactions on Cloud Computing10.1109/TCC.2022.319027511:2(2158-2174)Online publication date: 1-Apr-2023
  • (2023)Enhanced computer vision applications with blockchain: A review of applications and opportunitiesJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10180135:10(101801)Online publication date: Dec-2023
  • (2021)A Review of Smart Contracts Applications in Various Industries: A Procurement PerspectiveAdvances in Civil Engineering10.1155/2021/55307552021:1Online publication date: 21-Apr-2021
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
CSAI '18: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence
December 2018
641 pages
ISBN:9781450366069
DOI:10.1145/3297156
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Shenzhen University: Shenzhen University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 December 2018

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Crowdsourcing
  2. Ethereum
  3. blockchain
  4. decentralization
  5. smart contract

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

Conference

CSAI '18

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)13
  • Downloads (Last 6 weeks)1
Reflects downloads up to 21 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2023)BFCRI: A Blockchain-Based Framework for Crowdsourcing With Reputation and IncentiveIEEE Transactions on Cloud Computing10.1109/TCC.2022.319027511:2(2158-2174)Online publication date: 1-Apr-2023
  • (2023)Enhanced computer vision applications with blockchain: A review of applications and opportunitiesJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10180135:10(101801)Online publication date: Dec-2023
  • (2021)A Review of Smart Contracts Applications in Various Industries: A Procurement PerspectiveAdvances in Civil Engineering10.1155/2021/55307552021:1Online publication date: 21-Apr-2021
  • (2021)Blockchain-Based Secure and Efficient Crowdsourcing FrameworkComputer Networks and Inventive Communication Technologies10.1007/978-981-15-9647-6_30(391-406)Online publication date: 3-Jun-2021
  • (2020)CVT: A Crowdsourcing Video Transcoding Scheme Based on Blockchain Smart ContractsIEEE Access10.1109/ACCESS.2020.30430428(220672-220681)Online publication date: 2020
  • (2020)Towards fair and efficient task allocation in blockchain-based crowdsourcingCCF Transactions on Networking10.1007/s42045-020-00043-wOnline publication date: 4-Nov-2020

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media