ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing
Because of the rise of cryptocurrencies and decentralized apps, blockchain technology has generated a lot of interest. Among these is the emergent blockchain-based crowdsourcing paradigm, which eliminates the centralized conventional mechanism servers in favor of smart contracts for task and reward...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/13/6732 |
| _version_ | 1797480841982509056 |
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| author | Seth Larweh Kodjiku Yili Fang Tao Han Kwame Omono Asamoah Esther Stacy E. B. Aggrey Collins Sey Evans Aidoo Victor Nonso Ejianya Xun Wang |
| author_facet | Seth Larweh Kodjiku Yili Fang Tao Han Kwame Omono Asamoah Esther Stacy E. B. Aggrey Collins Sey Evans Aidoo Victor Nonso Ejianya Xun Wang |
| author_sort | Seth Larweh Kodjiku |
| collection | DOAJ |
| description | Because of the rise of cryptocurrencies and decentralized apps, blockchain technology has generated a lot of interest. Among these is the emergent blockchain-based crowdsourcing paradigm, which eliminates the centralized conventional mechanism servers in favor of smart contracts for task and reward allocation. However, there are a few crucial challenges that must be resolved properly. For starters, most reputation-based systems favor high-performing employees. Secondly, the crowdsourcing platform’s expensive service charges may obstruct the growth of crowdsourcing. Finally, unequal evaluation and reward allocation might lead to job dissatisfaction. As a result, the aforementioned issues will substantially impede the development of blockchain-based crowdsourcing systems. In this study, we introduce ExCrowd, a blockchain-based crowdsourcing system that employs a smart contract as a trustworthy authority to properly select workers, assess inputs, and award incentives while maintaining user privacy. Exploration-based crowdsourcing employs the hyperbolic learning curve model based on the conduct of workers and analyzes worker performance patterns using a decision tree technique. We specifically present the architecture of our framework, on which we establish a concrete scheme. Using a real-world dataset, we implement our model on the Ethereum public test network leveraging its reliability, adaptability, scalability, and rich statefulness. The results of our experiments demonstrate the efficiency, usefulness, and adaptability of our proposed system. |
| first_indexed | 2024-03-09T22:05:59Z |
| format | Article |
| id | doaj.art-d065ccc31f984c74a6c348268d23bd00 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:05:59Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d065ccc31f984c74a6c348268d23bd002023-11-23T19:41:47ZengMDPI AGApplied Sciences2076-34172022-07-011213673210.3390/app12136732ExCrowd: A Blockchain Framework for Exploration-Based CrowdsourcingSeth Larweh Kodjiku0Yili Fang1Tao Han2Kwame Omono Asamoah3Esther Stacy E. B. Aggrey4Collins Sey5Evans Aidoo6Victor Nonso Ejianya7Xun Wang8School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, ChinaSchool of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 611731, ChinaSchool of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 611731, ChinaSchool of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, ChinaBecause of the rise of cryptocurrencies and decentralized apps, blockchain technology has generated a lot of interest. Among these is the emergent blockchain-based crowdsourcing paradigm, which eliminates the centralized conventional mechanism servers in favor of smart contracts for task and reward allocation. However, there are a few crucial challenges that must be resolved properly. For starters, most reputation-based systems favor high-performing employees. Secondly, the crowdsourcing platform’s expensive service charges may obstruct the growth of crowdsourcing. Finally, unequal evaluation and reward allocation might lead to job dissatisfaction. As a result, the aforementioned issues will substantially impede the development of blockchain-based crowdsourcing systems. In this study, we introduce ExCrowd, a blockchain-based crowdsourcing system that employs a smart contract as a trustworthy authority to properly select workers, assess inputs, and award incentives while maintaining user privacy. Exploration-based crowdsourcing employs the hyperbolic learning curve model based on the conduct of workers and analyzes worker performance patterns using a decision tree technique. We specifically present the architecture of our framework, on which we establish a concrete scheme. Using a real-world dataset, we implement our model on the Ethereum public test network leveraging its reliability, adaptability, scalability, and rich statefulness. The results of our experiments demonstrate the efficiency, usefulness, and adaptability of our proposed system.https://www.mdpi.com/2076-3417/12/13/6732crowdsourcingblockchaindecentralizedsmart contract |
| spellingShingle | Seth Larweh Kodjiku Yili Fang Tao Han Kwame Omono Asamoah Esther Stacy E. B. Aggrey Collins Sey Evans Aidoo Victor Nonso Ejianya Xun Wang ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing Applied Sciences crowdsourcing blockchain decentralized smart contract |
| title | ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing |
| title_full | ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing |
| title_fullStr | ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing |
| title_full_unstemmed | ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing |
| title_short | ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing |
| title_sort | excrowd a blockchain framework for exploration based crowdsourcing |
| topic | crowdsourcing blockchain decentralized smart contract |
| url | https://www.mdpi.com/2076-3417/12/13/6732 |
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