基于区块链的移动群智感知数据处理研究综述  

Survey of mobile crowdsensing data processing based on blockchain

作　　者：邵子豪 霍如 王志浩 倪东 谢人超 SHAO Zihao;HUO Ru;WANG Zhihao;NI Dong;XIE Renchao(Purple Mountain Laboratories,Nanjing 211111,China;Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China;State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]紫金山实验室,江苏南京211111 [2]北京工业大学信息学部,北京100124 [3]北京邮电大学网络与交换技术国家重点实验室,北京100876

出　　处：《浙江大学学报（工学版）》2024年第6期1091-1106,共16页Journal of Zhejiang University：Engineering Science

基　　金：国家重点研发计划资助项目(2023YFB2704200)。

摘　　要：针对移动群智感知(MCS)数据处理的用户广泛参与性、采集设备灵活移动性与通信环境复杂性的特点,对基于区块链的移动群智感知数据处理进行评估.回顾移动群智感知与区块链的发展历程,总结移动群智感知数据处理面临的挑战与区块链技术的特点;设计基于区块链的移动群智感知体系结构(BMCA),实现数据去中心化管理、数据安全保障、数据质量精准评估与激励可信性增强;从隐私保护、数据质量评估、激励机制3个维度,对比分析现有的数据处理关键技术研究工作;探讨基于区块链的移动群智感知数据处理研究在资源消耗控制、数据精准分析、全周期与差异化隐私保护、融合模式应用等方面存在的问题及未来可能的发展方向.A comprehensive evaluation and categorization of blockchain-based mobile crowdsensing(MCS)data processing was conducted,in order to address the wide participation of users,the flexible mobility of collection devices,and the complexity of communication environment in mobile crowdsensing data processing.Firstly,the developments of MCS and blockchain were reviewed,and the challenges of MCS data processing and the characteristics of blockchain were introduced.Secondly,a blockchain-based mobile crowdsensing architecture(BMCA)was designed to achieve decentralized data management,data security assurance,precise data quality evaluation,and enhanced credibility of incentives.Then,existing data processing techniques were sorted from privacy-preserving,data quality evaluation,and incentive mechanism.Finally,the current problems and challenges in resource consumption control,precise data analysis,full-cycle and differentiated privacy-preserving,and integrated mode application of blockchain-based MCS data processing research were discussed,and the potential future research direction was pointed out.

关 键 词：移动群智感知 区块链 隐私安全保护 数据质量评估 激励机制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]