项目名称: 群智感知中基于可信交互的细粒度众包机制研究
项目编号: No.61502380
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 安健
作者单位: 西安交通大学
项目金额: 21万元
中文摘要: 在群智感知过程中,考虑到服务主体需求个性化和多样化的特征,感知任务更多依靠的是用户之间的相互协作和众包来实现。针对节点移动性、社会性和时空复杂性给群智感知中的任务分配、数据采集、数据传递等带来的挑战,提出一种基于可信交互的细粒度众包机制,深入研究其服务机理和关键技术。具体从以下三个方面展开:1)分析移动节点社会特性,归纳影响信任关系的多维要素,研究众包服务节点的动态信任关系认知方法;2)分析感知任务和众包节点间的依赖关系,研究满足不同约束条件下基于信任需求的细粒度众包匹配机制;3)移动节点行为和社群网络结构的挖掘与演化特性分析,研究在异构、移动环境下的基于可信协作和最小代价的数据路由策略。本项目研究成果能够有效改善众包服务质量,提高服务精度,扩大数据价值。同时,为移动环境下的节点信任关系分析、行为偏好挖掘、众包模式决策等相关应用领域的深入研究与实践提供理论和技术支持。
中文关键词: 群智感知;众包机制;可信交互;细粒度;社会属性
英文摘要: Considering the characteristics of service requirement are personality and diversity for users in the process of Crowd Sensing (CS), the completion of service is mainly depending on coordination and crowdsourcing between users. Aiming at the challenges that mobility, randomness, and space-time complexity of users bring to task allocation, data sensing and data transmission in CS, we will research on fine-grained crowdsourcing mechanism based on trusted interaction, and have a thorough research on its service mechanism and key technologies. This project makes a study from the following three aspects. 1) We will analyze the social characteristics of mobile nodes, conclude multi-dimensional factors of trust relationship, and research on trust relationship cognition. 2) We will analyze the dependency relationship between sensing tasks and crowdsourcing nodes, and research on the fine-grained matching mechanism based on trust-need under different restricted conditions. 3) We will analyze the mobile node behaviors and social network structure, and research on data routing scheme based on trust cooperation and minimum cost under the heterogeneous and mobile environment. With this research, the service quality and service accuracy of crowdsourcing can be greatly improved and the value of data can be notable enlarged. Meanwhile, the research of this project can also provide theoretical and technical support to related areas such as analyzing the trust relationship, mining the behavior pattern and decision making of crowdsourcing in mobile environment.
英文关键词: Crowd sensing;Crowdsourcing mechanism;Trusted interaction;Fine-grained;Social attributes