计算机应用与软件2023，Vol.40Issue(12)：284-289,304,7.DOI:10.3969/j.issn.1000-386x.2023.12.042
基于位置隐私保护的空间众包任务分配方法
SPATIAL CROWDSOURCING TASK ALLOCATION METHOD WITH LOCATION PRIVACY PROTECTION
摘要
Abstract
Aimed at the problems of long waiting time of users and low protection of workers'location privacy in current spatial crowdsourcing task allocation,a spatial crowdsourcing task allocation method with location privacy protection is proposed.The virtual generation algorithm was used to provide a spurious location for the crowdsourcing workers and send it to the spatial crowdsourcing server.In order to improve the efficiency of task allocation,an adaptive batch processing mechanism based on ε-greedy algorithm was designed.According to the dynamic batch size,the maximum score allocation strategy was adopted to solve the problem of crowdsourcing platform mobility State task allocation problem.It not only reduced the travel distance of workers and protected workers'privacy information,but also greatly reduced the task waiting time and improved the user experience.关键词
空间众包/任务分配/位置隐私/虚拟技术/自适应批处理Key words
Spatial crowdsourcing/Task allocation/Location privacy/Spurious technology/Adaptive batch processing分类
信息技术与安全科学引用本文复制引用
王琦,高铭..基于位置隐私保护的空间众包任务分配方法[J].计算机应用与软件,2023,40(12):284-289,304,7.基金项目
吉林省科技发展计划项目(20140520115JH). （20140520115JH）
