CAREER: PROSE: Providing Robustness in Systems of Embedded Sensors

虽然传感器应用有望对我们的社会产生深远的科学和经济影响，但它们的成功仍然取决于传感器网络是否能够提供稳定的正确数据流。然而，这种在很长一段时间内连续提供数据的需求给底层系统带来了巨大的挑战。具体而言，无线传感器网络容易出现大量的危险，如频繁的节点故障，拥塞和感知错误。这些挑战由于传感器系统通常受到严重的能量约束而进一步复杂化。该项目有三个主要组成部分：DADA，塔拉和MARA。DADA是一个二维自适应调度框架，它通过巧妙地唤醒修复节点故障造成的漏洞所需的冗余节点来快速修复网络覆盖和连通性。塔拉是一种拓扑感知的资源自适应框架，它通过使更多的传感器节点在线来容纳那些包含有价值数据的数据包，从而增加资源供应，这些数据包可能与拥塞源有关。MARA是一个度量保证和鲁棒聚合框架，它提供了一组数据分类和清理工具，可以在数据流入网络之前对其进行验证。该项目试图提供的保证，传感器系统必须优雅地恢复自己在网络异常的存在，以满足应用程序的需要，以及降低网络管理成本。除了报告研究结果的技术文件外，该项目还将产生一套软件工具，供社区使用。

While sensor applications promise profound scientific and economic impacts on our society, their success is nonetheless determined by whether the sensor networks can provide a steady stream of correct data. This need for continuous data provisioning over a significant time period, however, imposes great challenges to the underlying system. Specifically, wireless sensor networks are prone to a large array of hazards, such as frequent node failures, congestion, and sensing errors. These challenges are further complicated by the fact that sensor systems are usually seriously energy constrained.This project has three main components: DADA, TARA, and MARA. DADA, a 2-Dimensional Adaptive Scheduling Framework, rapidly repairs network coverage and connectivity by cleverly waking up the redundant nodes that are needed for repairing holes created by the node failure. TARA, a Topology-Aware Resource Adaptation Framework, strives to increase the resource provisioning by bringing more sensor nodes online to accommodate those packets that contain valuable data, potentially regarding the source of the congestion. MARA, a Measurement Assurance and Robust Aggregation Framework, provides a set of data classification and cleansing tools that validate the data before they flow into the network. This project attempts to deliver the guarantee that sensor systems must gracefully recover themselves in the presence of network exceptions, in order to satisfy the application needs as well as lower the network management costs. In addition to technical papers that report the research results, this project will also produce a suite of software tools that will be made available to the community.