CRI: Scalable Embedded Wireless Sensor Network Evaluation Facility

摘要提案：CNS 0454432PI: David E. culler机构：加州大学伯克利分校项目：NSF 04-588 CISE计算研究基础设施标题：CRI：可扩展嵌入式无线传感器网络评估设施加州大学伯克利分校的研究人员将为无线嵌入式传感器网络建立一个相互关联的灵活的大规模评估设施，这将使关键协议的经验评估在规模和完整性上成为可能，这是今天不可能的。这将允许在噪声，干扰，损失和连接变化的真实条件下严格测试协议和分布式数据处理算法，这些在模拟下很难准确捕获。他们将建立一个室内的，大规模的超过一千个异构无线节点，具有广泛的日志记录功能。测试平台将利用最新一代的Berkeley motes，为这些测试平台重新设计，以及新开发的嵌入式linux类节点。这将与专用的服务器端基础设施相辅相成，以安排实验，操作节点，存储和分析实验数据，并模拟与传感器网络交互的企业功能。传感器数据流的痕迹也将存储在基础设施中，并回放到无线网络中，以便使用现实的网络内数据处理算法进行可重复的实验。除了节点的绝对数量之外，该设施还将强调在实际部署中可能遇到的异构性，包括更高功率的节点、更高带宽的网络和移动motes。该基础设施将使无线传感器网络的研究成为可能，无线传感器网络代表了一个非常新的和重要的网络系统类别。需要解决的问题包括路由、信息传播技术、节能通信协议和间歇性连接的可靠通信、视觉和高带宽传感器的使用、异构WSN中的移动和高功率节点以及网络信息理论。最后，重点介绍了无线传感器网络的安全方法，如密钥预分发协议分析、安全路由、安全聚合和隐私研究。除了为伯克利的25名研究人员提供支持外，该试验台网络还将通过互联网登录或现场访问向更广泛的研究社区开放。该项目的更广泛影响包括探索技术，以便最终将新的信息基础设施部署到大量关键的物理基础设施，包括电力、建筑物的供暖和制冷、水、石油和天然气管道、炼油厂等。该项目将检验高可信度服务：可靠、容错和抗攻击。这些相同的能力代表了许多科学领域的潜在突破，包括环境监测、土木工程、生态生理学等。

AbstractProposal: CNS 0454432PI: David E. CullerInstitution: University of California-Berkeley Program: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI:Scalable Embedded Wireless Sensor Network Evaluation Facility Investigators at UC Berkeley will build an inter-related family of flexible, large-scale evaluation facilities for wireless embedded sensor networks that will enable empirical evaluation of critical protocols at a scale and completeness that is not possible today. This will allow rigorous testing of protocols and distributed data processing algorithms under real conditions of noise, interference, loss, and variations in connectivity that are extremely difficult to capture accurately under simulation. They will build an indoor, large-scale set of over a thousand heterogeneous wireless nodes with extensive logging capabilities. The testbed will utilize the newest generation of Berkeley motes, redesigned for these testbeds, as well as newly developed, embedded Linux-class nodes. This will be complemented with a dedicated server side infrastructure to schedule experiments, operate nodes, store and analyze the experimental data, and emulate enterprise capabilities that interact with sensor networks. Traces of sensor data streams will also be stored in the infrastructure and replayed into the wireless network to allow repeatable experimentation with realistic in-network data processing algorithms. In addition to the sheer number of nodes, the facility will stress the heterogeneity likely to be encountered in practical deployments by including higher-powered nodes, higher bandwidth networks, and mobile motes. The infrastructure will enable research in Wireless Sensor Networks which represent a very new and important class of networked systems. Issues to be addressed include routing, information dissemination techniques, energy efficient communication protocols and reliable communication with intermittent connectivity, the use of vision and high bandwidth sensors, mobile and high power nodes in heterogeneous WSN, and networked information theory. Finally, approaches to security in WSN such as analysis of key pre-distribution protocols, secure routing, secure aggregation and privacy research will be highlighted on the testbed. In addition to supporting about 25 researchers at Berkeley, the testbed network will become available to the broader research community through Internet login or on-site visits. Broader Impacts of the project include exploring technology for eventual deployment of a new information infrastructure to a large number of critical physical infrastructures, including electric power, heating and cooling of buildings, water, oil and gas pipelines, refineries, etc. This project will examine high confidence services: reliable, fault tolerant and resistant to attack. These same capabilities represent a potential breakthrough for many areas of science, including environmental monitoring, civil engineering, eco-physiology and others.