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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, which might be vulnerable or untrustworthy.<\/jats:p>\n          <jats:p>\n            This article proposes EDF-Crowd, an\n            <jats:underline>E<\/jats:underline>\n            fficient and\n            <jats:underline>D<\/jats:underline>\n            eposit-\n            <jats:underline>F<\/jats:underline>\n            ree blockchain-based spatial crowdsoucing framework, to address these challenges. EDF-Crowd introduces an\n            <jats:italic>efficient, customizable task assignment mechanism<\/jats:italic>\n            based on smart contracts, operating periodically and batch-wise. We also design a\n            <jats:italic>fair compensation mechanism<\/jats:italic>\n            to compensate users for the extra overhead caused by invoking certain smart contracts. More importantly, we propose a series of\n            <jats:italic>linkage protocols.<\/jats:italic>\n            By linking users\u2019 back-and-forth actions, EDF-Crowd can\n            <jats:italic>regulate user behavior without requiring users to deposit.<\/jats:italic>\n            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.\n          <\/jats:p>","DOI":"10.1145\/3656343","type":"journal-article","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T11:53:17Z","timestamp":1712663597000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Towards Efficient and Deposit-Free Blockchain-Based Spatial Crowdsourcing"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4707-7588","authenticated-orcid":false,"given":"Mingzhe","family":"Li","sequence":"first","affiliation":[{"name":"Southern University of Science and Technology,  Shenzhen, China, The Hong Kong University of Science and Technology,  Hong Kong, Hong Kong and Agency for Science, Technology and Research,  Singapore Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4585-4152","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology,  Hong Kong Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2674-0918","authenticated-orcid":false,"given":"Jin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology, Shenzhen, China and Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,6]]},"reference":[{"key":"e_1_3_1_2_2","author":"EOS TPS","unstructured":"EOS TPS. 2019. 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