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

提案#：CNS09-23313 Pi(S)：傅凯文；Burleson，Wayne P.；Diao，Yanley；Ganesan，Deepak K；罗斯，查理斯学院：五所学院：汉普郡阿默斯特，芒特霍利奥克，史密斯，密歇根大学马萨诸塞州01002-2324标题：磁共振/Acq.：使用可再生能源进行物体识别和栖息地监测的射频识别测试床该奖项由2009年美国恢复和再投资法案(公共法律第111-5号)资助。建议的项目：这个项目，获得无线电频率识别(Rfid)测试床，旨在实现对下一代rfid技术和应用的设计、实施和部署的跨学科跨层基础研究。这些设备支持以下主题的研究：-设计可从替代来源(WiFi和太阳能)获取能量并能以极其有限的能量运行的新型下一代计算RFID(CRFID硬件)，-设计可通过轻量级检查点和预测管理容忍电力频繁中断的CRFID操作系统，-开发用于处理嘈杂和不完整的RFID数据流的数据清理和概率干扰技术，-设计使用机器人上的可重新定位的移动RFID读取器的精确定位技术，-部署基于RFID的生物监测应用，该应用涉及具有小植入标签的蟋蟀，该应用汇集了上述研究成果，和-增强的RFID安全机制和安全漏洞分析。努力整合在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，以促进对零功率普及设备的知识和理解。该项目通过设计可从其他来源获取其他读取器的计算型RFID来解决RFID读取器放置的关键挑战，设计了适合此类计算型RFID设备需求的操作系统，并设计了服务来本地化RFID并管理噪声和丢失的数据。分析了RFID在不同层次的安全特性，开发了适用于高度受限设备的密码解决方案，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。新一代计算RFID(CRFIDBroader)的设计影响：该研究直接影响下一代RFID应用和业务的设计、开发和部署，这些业务包括医疗、环境、能源、军事、国土安全和交通领域。这些设备直接影响到本科生的研究和学生的多样性。RFID试验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.