ITR: Computation and Communication in Sensor Webs

ITR：传感器网络中的计算和通信

• 批准号: 0313242
• 负责人: David Andrews
• 金额: $ 21万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0313242&HistoricalAwards=false
• 关键词: ITR; Computation; Communication; Sensor; Webs

Traditional design approaches that treat the processor node, network, andsensor/actuator subsystems as distinctly independent components do notapply well to the domain of sensor webs. This is a result of sensor websystems being comprised of hundreds of thousands of small, autonomousdevices that dynamically engage or disengage in the generation of data. Nodes within these systems are deployed in an ad-hoc fashion, with noa-priori knowledge of network and sensor/actuator connectivity. These new requirements call for a new machine model that more closelysupports the sensor webs unique operational and behavioral requirements. This research focuses on a holistic system-centric approach thatdefines such a new integrated communications/computation machine model forsensor web nodes. The new machine model is expressed in terms of a Metainstruction set architecture (ISA). This Meta ISA defines primitivesystem operations, such as domain selections, data reduction, andbroadcast across ad hoc networks of nodes, much like the ISA of a CPUdefining the CPU's primitive operations. The Meta ISA enables consistentand reliable system level operation for dynamically changing numbers andlocations of sensors, and supports multimode data fusion. The Meta ISAexplicitly supports attribute based naming, which enables the dynamiccreation of unique knowledge domains across unknown numbers ofheterogeneous sensor types. A new routing protocol has is studied as an integral part of the integrated computation/communication model. The protocol is active inissuing and decoding Meta instructions throughout the sensorweb and has been designed specifically to support attribute-based namingand formation of knowledge domains across large ad hoc webs. The broader impact of this project includes the development of an educational focus area in the engineering of computer-based systems. Courses include embedded and real-time systems, sensor webs, run time software for embedded systems, and distributed systems. The project is achieving impact for both graduate and undergraduate students by integrating the research agenda and results into the classroom, and focusing collaborative activities. Software tools and hardware platforms developed in this project will enhance student laboratories for experimentation and projects.

将处理器节点、网络和传感器/执行器子系统视为明显独立的组件的传统设计方法不适用于传感器网络领域。这是传感器网络系统由成千上万的小型自主设备组成的结果，这些设备动态地参与或脱离数据的生成。这些系统中的节点以特别的方式部署，具有网络和传感器/执行器连接的先验知识。这些新的需求需要一种新的机器模型，更紧密地支持传感器网独特的操作和行为需求。本研究侧重于一个整体的以系统为中心的方法，该方法为传感器网络节点定义了这样一个新的集成通信/计算机器模型。新机器模型用元结构集体系结构（ISA）表示。这个Meta ISA定义了基本的系统操作，比如域选择、数据缩减和跨节点特设网络的广播，很像CPU的ISA定义了CPU的基本操作。Meta ISA为动态变化的传感器数量和位置提供一致和可靠的系统级操作，并支持多模式数据融合。Meta isa显式支持基于属性的命名，这使得在未知数量的异构传感器类型中动态创建唯一的知识领域成为可能。研究了一种新的路由协议，作为计算/通信集成模型的组成部分。该协议在整个传感器网络中主动发布和解码元指令，并专门设计用于支持基于属性的命名和跨大型特设网络知识领域的形成。这个项目的更广泛的影响包括在基于计算机的系统工程的教育重点领域的发展。课程包括嵌入式和实时系统、传感器网络、嵌入式系统的运行时软件和分布式系统。该项目通过将研究议程和结果整合到课堂上，并重点开展合作活动，对研究生和本科生都产生了影响。本计划所开发的软件工具及硬件平台，将有助加强学生实验室的实验及项目。