I/UCRC GOALI Fundamental Research: Autonomous Self-Healing Sensor Network Radio and Mixed-Signal Readout System Design

该提案为亚利桑那州立大学网站（lead）进行的连接-通信电路和系统研究中心寻求资金。基础研究的资金申请由NSF批准的征求授权，NSF 10-507。本次招标邀请I/ ucrc提交支持行业定义基础研究的提案。本提案的重点是开发可靠的自修复传感器网络无线电和混合信号模拟/数字读出系统的设计。芯片最终将被制造出来。作为这项工作的结果，将有用于无线电和混合信号读出链的系统级表征的模型和软件，以及用于系统和电路级补偿的软件，以及用于全局决策的软件。该项目采用从传感器接口到射频域的全局视图，以确保组件的可靠运行。pi在可靠性无线电收发器设计，系统和电路电平测试以及电路校准和补偿方面具有丰富的经验，完全可以胜任这项工作。亚利桑那州立大学的计算机集群和无线集成纳米技术中心将有助于集成电路和印刷电路板的组装。将传感器网络部署到偏远、难以到达的地区进行数据收集和分析，可以对改善许多人的生活产生深远的影响。这些系统在预测和预防即将发生的危险（如辐射、空气和饮用水污染以及高速公路和桥梁等基础设施故障）方面具有很大的潜力。这项研究的成功成果将使生产具有高产量、低成本和长寿命的微型智能传感器系统成为可能。拟议的工作是中心内正在进行的活动的延续，因此它直接使中心受益。

This proposal seeks funding for the Center for Connection One-Communication Circuits and Systems Research studies conducted by the Arizona State University site (lead). Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 10-507. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. The focus of this proposal is on the development of reliable self-healing sensor network radio and mixed-signal analog/digital readout system design. The chip is to be eventually fabricated. As a result of this work there would be models and software for system-level characterization of radio and mixed-signal readout chains along with hardware modules, software for system and circuit level compensation, and software for global decision making. The project takes a global view from the sensor interface to the RF domain for a reliable operation of the components. The PIs are well qualified for this work having experience in reliability radio transceiver design, system and circuit level test, and circuit calibration and compensation. Computer clusters and the Wireless Integrated Nanotechnology center at Arizona State University will be helpful for assembling integrated circuits and printed circuit boards.Deployment of sensor networks into remote, hard-to-reach areas for data collection and analysis can have a profound impact to improve the lives of many. These systems hold great promise to increase capabilities in terms of predicting and preventing from impending dangers, such as radiation, air and drinking water pollution, and failures in infrastructure, such as highways and bridges. Successful outcomes of this research will enable the production of miniature and intelligent sensor systems with high yield, lower cost, and long lifetimes. The proposed work is a continuation of the ongoing activities within the center, and as such it directly benefits the center for its lifetime.