Collabortive Research: Design of Dense RFID Systems for Indexing in the Physical World across Space, Time, and Human Experience

协作研究：设计用于跨空间、时间和人类经验的物理世界索引的密集 RFID 系统

• 批准号: 0725910
• 负责人: Hari Sundaram
• 金额: $ 17.4万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0725910&HistoricalAwards=false
• 关键词: Collabortive; Research; Design; Dense; RFID

Integrative, Hybrid and Complex SystemsHari Sundaram, Arizona State UniversityVikram Jandhyala, University of WashingtonCollabortive Research: Design of Dense RFID Systems for Indexing in the Physical World across Space, Time, and Human ExperienceIntellectual Merit: Radio frequency identification (RFID) technology embeds small, inexpensive, and passively-powered radio tags in physical objects. Many potential innovative applications of RFID are not yet supported by current technology. This research pursues a multidisciplinary, integrative approach to investigate fundamental technical challenges in RFID, both at the physical and data management layers, to realize innovative data-centric applications such as attribute-based object search. The research focuses on two areas, distributed data management, and (ii) physical layer limitations. The research will investigate data structures that can resolve queries for remote objects by only accessing local tags within a specified radio range; efficient encoding of symbolic and numeric logical attributes to address the cost of associative search and random access to a large data structure from a single tag; and redundancy-based algorithms for overcoming data access reliability limitations and access failures in dense tag environments. At the physical layer, the research will address issues due to tag density, the need for extended memory storage, and the absence of on-chip power.Broader Impact: This research has the potential to aid individuals in living in increasingly complex environments. The research will aid in the development of new course modules on large-scale dense RFID simulation at the University of Washington and robust information dissemination at Arizona State University. The project will also allow students at both universities to experiment with various aspects of RFID-based distributed information management, thus increasing student awareness of mechanisms for addressing information-overload and privacy issues that arise due to increasingly widespread, yet loosely controlled, digital "footprints."

综合，混合和复杂的系统Hari Sundaram，亚利桑那州立大学Vikram Jandhyala，华盛顿大学合作研究：设计密集的RFID系统，用于在物理世界中跨越空间，时间和人类经验的索引智力优势：射频识别（RFID）技术将小型，廉价和无源供电的无线电标签嵌入物理对象。 RFID的许多潜在创新应用尚未得到当前技术的支持。 本研究采用多学科，综合的方法来研究RFID在物理层和数据管理层的基本技术挑战，以实现以数据为中心的创新应用，如基于属性的对象搜索。 研究集中在两个领域，分布式数据管理，和（ii）物理层的限制。 该研究将调查的数据结构，可以解决查询远程对象只访问本地标签在指定的无线电范围内;有效的编码的符号和数字逻辑属性，以解决成本的关联搜索和随机访问一个大的数据结构从一个单一的标签;和冗余为基础的算法，克服数据访问的可靠性限制和访问故障在密集的标签环境。 在物理层，该研究将解决由于标签密度，需要扩展内存存储，和芯片上的电源的情况下的问题。更广泛的影响：这项研究有可能帮助个人在日益复杂的环境中生活。 这项研究将有助于华盛顿大学大规模密集RFID模拟和亚利桑那州立大学强大的信息传播的新课程模块的开发。 该项目还将允许两所大学的学生尝试基于RFID的分布式信息管理的各个方面，从而提高学生对解决信息过载和隐私问题的机制的认识，这些问题是由于日益广泛但控制松散的数字“足迹”而产生的。"