MRI: Acquisition of an RFID Testbed Using Renewable Energy for Object Identification and Habitat Monitoring

提案号：CNS 09-23313 PI(s): Fu, Kevin；韦恩·p·伯勒森；刁,Yanlei;Ganesan, Deepak K.；机构：五所学院：阿默斯特，汉普郡，霍利奥克山，史密斯，马萨诸塞州阿默斯01002-2324标题：MRI/Acq。使用可再生能源进行物体识别和栖息地监测的RFID测试平台该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。项目建议：该项目将获得一个射频识别（RFID）测试平台，旨在为下一代RFID技术和应用的设计、实施和部署提供跨学科、跨层次的基础研究。设备支持以下主题的研究：-设计新颖的下一代计算RFID (CRFID硬件，可以从替代来源（WiFi和太阳能）收集能量；-设计了一种CRFID操作系统，该系统可以通过轻量级的检查点和预测管理来容忍频繁的电源中断，-开发了数据清理和概率干扰技术，用于处理嘈杂和不完整的RFID数据流，-设计了精确定位技术，使用机器人上的可重新定位的移动RFID读取器，-部署了一种基于RFID的生物监测应用，涉及蟋蟀结合上述研究重点的小型植入标签，以及-增强的RFID安全机制和安全漏洞分析。该项目整合了RFID系统、计算机系统、数据管理、安全、能源感知计算和生物学方面的研究和教育，以推进对零功耗普及设备的认识和理解。该项目解决了RFID读取器放置的关键挑战，通过设计可从其他读取器的替代来源获取的计算RFID，设计适合此类计算RFID设备需求的操作系统，并设计本地化RFID和管理噪声和丢失数据的服务。此外，还分析了rfid在不同层的安全特性，并开发了高度受限设备的加密解决方案，预期结果包括硬件设计、操作系统、算法、协议和设计此类系统的模型。实验和原型工作应该为系统设计问题提供新的见解。更广泛的影响：该研究直接影响下一代RFID应用和业务的设计、开发和部署，包括医疗、环境、能源、军事、国土安全和运输领域。设备对本科研究和学生多样性有直接影响。RFID测试平台将被整合到计算机科学、进化生物学和电气工程的课程中，从而更好地理解这项技术及其对环境和能源的影响。

Proposal #: CNS 09-23313 PI(s): Fu, Kevin; Burleson, Wayne P.; Diao, Yanlei; Ganesan, Deepak K.; Ross, CharlesInstitution: Five Colleges: Amherst, Hampshire, Mount Holyoke, Smith, U Mass Amhers, MA 01002-2324Title: MRI/Acq.: RFID Testbed Using Renewable Energy for Object Identification and Habitat MonitoringThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Project Proposed:This project, acquiring a Radio Frequency IDentification (RFID) testbed, aims to enable fundamental cross-disciplinary cross-layered research into design, implementation, and deployment of the next generation RFID technologies and applications. The equipment support research in the following topics:- Design of novel next generation Computational RFID (CRFID hardware that can harvest energy from alternative sources (WiFi and solar), and can operate with extremely limited energy,- Design of a CRFID operating system that can tolerate frequesnt interruptions pf power through lightweight checkpointing and predictive management,- Development of data cleaning and probabilistic interference techniques for processing streams of noisy and incomplete RFID data,- Design of accurate locationing techniques using re-targetable mobile RFID readers on robots,- Deployment of an RFID-based biological monitoring application involving crickets with small implanted tags that brings together the above research thrusts, and- Enhanced RFID security mechanisms and analysis of security vulnerabilities.The effort integrates research and education in RFID systems, computer systems, data management, security, energy-aware computing, and biology to advance knowledge and understanding of zero-power pervasive devices. The project addresses the critical challenge of RFID reader placement by designing computational RFIDs that can harvest from alternative sources other readers, designs an operating system tailored to the needs of such computational RFID devices, and designs services to localize RFIDs and manage noisy and missing data. Moreover the security characteristics of RFIDs at different layers are analyzed and cryptographic solutions for highly constrained devices are developed Expected results include hardware designs, operating systems, algorithms, protocols, and models for designing such systems. The experimental and prototyping efforts should provide new insights into system design issues. Design of novel next generation Computational RFID (CRFIDBroader Impacts: The research directly impacts the design, development, and deployment of the next-generation RFID applications and businesses including medical, environmental, energy, military, homeland security, and transportation areas. The equipment has direct impact on undergraduate research and student diversity. The RFID testbed will be integrated within the curriculum across Computer Science, Evolutionary Biology, and Electrical Engineering leading to a better understanding of the technology and its impact on the environment and energy.