Collaborative Research: NeTS-NOSS: RFID-Based Sensor Networks: Exploiting Diversity and Redundancy

基本形式的RFID(射频识别)设备或标签可用作识别和接近传感器。当与其他环境传感器一起增强时，RFID也可以转变为其他无线传感器。该项目致力于通过密集部署RFID标签/传感器和RFID读取器来实现无处不在的基于RFID的系统，其中读取器本身使用无线自组织网络相互连接。读取器的目标是访问RFID标签/传感器数据，并将必要的信息传递给在中央计算机系统上运行的应用程序。该项目考虑设计和评估协议和算法，以利用标签多样性、读取器多样性、天线多样性和标签操作模式多样性的形式的冗余和多样性。标签到读取器和读取器到读取器的通信协议，以及用于有效回答来自应用程序的更高级别查询的机制是特别有趣的。该项目的预期结果包括利用RFID系统中的冗余和多样性的高效协议和算法，并通过实验或基于模拟的方法来展示其有效性。该项目的成果将通过会议和期刊上的出版物进行传播。该项目通过提高射频识别接入和查询的准确性和效率，对射频识别的实际用途产生了重大的潜在影响。潜在的应用包括工厂车间的物体跟踪，以及家庭和办公室环境中的传感应用。

RFID (Radio Frequency Identification) devices or tags, in their basic form, are useful as identification and proximity sensors. When augmented with other environmental sensors, RFIDs can also be turned into other wireless sensors. This project addresses ubiquitous RFID-based systems enabled by dense deployment of RFID tags/sensors, and RFID readers, where the readers are themselves inter-connected using a wireless ad hoc network. The goal of the readers is to access the RFID tag/sensor data and relay the necessary information to an application running on a central computer system. The project considers design and evaluation of protocols and algorithms to exploit redundancy and diversity in the form of tag multiplicity, reader multiplicity, antenna diversity, and multiplicity of operating modes for the tags. Communication protocols for tag-to-reader and reader-to-reader communication, as well as mechanisms for efficiently answering higher-level queries from applications are of particular interest.Expected results from the project include efficient protocols and algorithms to exploit redundancy and diversity in RFID systems, and demonstration of their efficacy by experimental or simulation-based methods. Results from the project will be disseminated via publications in conferences and journals. The project has significant potential for impact on practical utility of RFIDs, by improving the accuracy and efficiency of RFID access and queries. Potential applications include object tracking on factory floors, and sensing applications in home and office environments.