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机构地区:[1]中国信息通信研究院技术与标准研究所,北京100191
出 处:《小型微型计算机系统》2017年第4期766-771,共6页Journal of Chinese Computer Systems
基 金:国家科技重大专项(2015ZX03003012)资助
摘 要:随着被标识对象的位置移动,RFID网络中不断产生新的观测数据.如何跨越多个不同信息服务器,进行有效的数据追溯查询,始终是RFID网络的重点研究内容之一.现有的追溯服务研究,没有充分考虑由于被标识物理对象之间的组合或者拆分等行为所造成的RFID数据关联,导致查询结果不完整.通过改进目录服务模型,提出一种具有关联性感知的RFID网络追溯服务.在发现服务阶段加入递归的关联性分析后,可同时返回原始标识以及容器标识所对应的信息源地址列表.并针对容器可重用性问题,基于时间属性进行过滤,可有效避免容器标识信息的数据冗余.With the movement of tagged objects, new observational data is continuously generated in the RFID network. How to effec- tively trace and track these data from different information servers is important in the research of RFID network. As a matter of fact, the composition or decomposition of tagged objects can also lead to their identifier records has some relevance. However, existing stud- ies have not paid enough attention to this kind of correlation so that the query results are not complete. By improving the directory service model, a correlation-aware traceability service is proposed. After a recursive correlation analysis is added during the discovery service stage, both the information resource address of the initial input identifier and its possible container identifier will be returned. In order to solve the problem of reusable containers, time properties based filter is adapted to avoid the data redundancy.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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