SenseChain: A blockchain-based crowdsensing framework for multiple requesters and multiple workers
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Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
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- Authors
- Kadadha, M., Otrok, H., Mizouni, R., Singh, S., & Ouali, A.
- Affiliations
- Khalifa University of Science and Technology (AE)
- EBTIC (AE)
- Corresponding author
- Kadadha, Maha
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 105
- Pages
- 650-664
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2995069889
- Cited by
- 77
- References
- 44
- Citations by year
- 2026: 1 · 2025: 13 · 2024: 10 · 2023: 11 · 2022: 19 · 2021: 19 · 2020: 4
- FWCI
- 11.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Future Generation Computer Systems (publishedVersion)
- Funders
- Khalifa University of Science, Technology and Research
- United Arab Emirates University
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- crowdsensing, blockchain, Ethereum, smart contracts, payment distribution, worker selection, privacy, Solidity, Web3.js
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