Toward Efficient and Deposit-free Blockchain-based Spatial Crowdsourcing

Li, Mingzhe1,2,3; Wang, Wei2; Zhang, Jin4,5,6

2024-05-01

10.1145/3656343

ACM TRANSACTIONS ON SENSOR NETWORKS   影响因子和分区

1550-4859

1550-4867

["Spatial crowdsourcing leverages the widespread use of mobile devices to outsource tasks to a crowd of users based on their geographical location. Despite its growing popularity, current crowdsourcing systems often suffer from a lack of transparency, centralization, and other security issues. Blockchain technology has revolutionized this sector with its potential for decentralization, security, and transparency. However, existing blockchain-based crowdsourcing systems often overlook efficient task assignment mechanisms and expose users to potential losses due to the obligatory deposit payments to smart contracts, whichmight be vulnerable or untrustworthy.","This article proposes EDF-Crowd, an Efficient and Deposit-Free blockchain-based spatial crowd-soucing framework, to address these challenges. EDF-Crowd introduces an efficient, customizable task assignment mechanism based on smart contracts, operating periodically and batch-wise. We also design a fair compensation mechanism to compensate users for the extra overhead caused by invoking certain smart contracts. More importantly, we propose a series of linkage protocols. By linking users' back-and-forth actions, EDF-Crowd can regulate user behavior without requiring users to deposit. The versatility of EDF-Crowd also allows its application to generic crowdsourcing systems with minimal modifications. We implement EDF-Crowd based on the EOS blockchain. Extensive evaluations show that EDF-Crowd achieves high task assignment efficiency and low cost."]

Blockchain crowdsourcing spatial crowdsourcing task assignment smart contract deposit

SCI ; EI

英语

第一 ; 通讯

Computer Science ; Telecommunications

Computer Science, Information Systems ; Telecommunications

WOS:001234677000023

ASSOC COMPUTING MACHINERY

Web of Science

1.Southern Univ Sci & Technol, Shenzhen, Guangdong, Peoples R China
2.Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China
3.Agcy Sci Technol & Res, Singapore, Singapore
4.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China
5.Shenzhen Key Lab Safety & Secur Next Generat Ind, Shenzhen, Guangdong, Peoples R China
6.Southern Univ Sci & Technol, Res Inst Trustworthy Autonomous Syst, Shenzhen, Peoples R China

Li, Mingzhe,Wang, Wei,Zhang, Jin. Toward Efficient and Deposit-free Blockchain-based Spatial Crowdsourcing[J]. ACM TRANSACTIONS ON SENSOR NETWORKS,2024,20(3).

Li, Mingzhe,Wang, Wei,&Zhang, Jin.(2024).Toward Efficient and Deposit-free Blockchain-based Spatial Crowdsourcing.ACM TRANSACTIONS ON SENSOR NETWORKS,20(3).

Li, Mingzhe,et al."Toward Efficient and Deposit-free Blockchain-based Spatial Crowdsourcing".ACM TRANSACTIONS ON SENSOR NETWORKS 20.3(2024).