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作 者:Chenhao YING Haiming JIN Jie LI Xueming SI Yuan LUO
机构地区:[1]Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [2]Shanghai Jiao Tong University(Wuxi)Blockchain Advanced Research Center,Wuxi 214101,China
出 处:《Frontiers of Computer Science》2025年第3期65-85,共21页计算机科学前沿(英文版)
基 金:supported in part by the Shanghai Science and Technology Innovation Action Plan(23511100400);in part by the National Natural Science Foundation of China(Grants Nos.62372288,and U20A20181);the 2023−2024 Open Project of Key Laboratory Ministry of Industry and Information Technology-Blockchain Technology and Data Security(20242216).
摘 要:Edge-assisted mobile crowdsensing(EMCS)has gained significant attention as a data collection paradigm.However,existing incentive mechanisms in EMCS systems rely on centralized platforms,making them impractical for the decentralized nature of EMCS systems.To address this limitation,we propose CHASER,an incentive mechanism designed for blockchain-based EMCS(BEMCS)systems.In fact,CHASER can attract more participants by satisfying the incentive requirements of budget balance,double-side truthfulness,double-side individual rationality and also high social welfare.Furthermore,the proposed BEMCS system with CHASER in smart contracts guarantees the data confidentiality by utilizing an asymmetric encryption scheme,and the anonymity of participants by applying the zero-knowledge succinct non-interactive argument of knowledge(zk-SNARK).This also restrains the malicious behaviors of participants.Finally,most simulations show that the social welfare of CHASER is increased by approximately when compared with the state-of-the-art approaches.Moreover,CHASER achieves a competitive ratio of approximately 0.8 and high task completion rate of over 0.8 in large-scale systems.These findings highlight the robustness and desirable performance of CHASER as an incentive mechanism within the BEMCS system.
关 键 词:mobile crowdsensing edge computing blockchain smart contract incentive mechanism
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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