NeTS-NOSS: Funneling Impulses in Sensor Networks

提案编号：0435168PI：Nicholas Maxemchuk Institution：哥伦比亚大学标题：传感器网络中的漏斗脉冲摘要：这项拨款的研究目标是传感器网络，这些网络必须“漏斗”因地震、恐怖袭击、洪水或火灾等异常事件而产生的突然数据脉冲。目的是从根本上理解如何设计传感器网络以充分处理这些数据脉冲。PI探索了这类网络在这种情况下必须解决的四个基本领域：*传感器的拓扑布局(密度)，以在漏斗过程中优化电池资源。*当节点发生故障时，等待漏斗的数据的持久性*在漏斗过程中传输到采集点的数据的压缩。*在漏斗过程中向采集点传输数据的可靠性这项研究将产生基本的数学模型，将用于在分析环境中解决这些问题。研究结果将有助于更多面向实际的研究，寻求实现和试验实际的硬件和软件解决方案。高密度传感器网络的可用性将对灾难响应和恢复、消防和应急响应等要求苛刻的传感应用领域产生巨大影响。此外，这项研究中开发的技术将在确定未来密集传感器网络的基础上发挥关键作用，为这些至关重要的领域中的新一类传感应用提供基础。研究成果将通过顶级会议上的技术和流行出版物传播。

Proposal Number: 0435168PI: Nicholas Maxemchuk Institution: Columbia University Title: Funneling Impulses in Sensor NetworksAbstract: This grant's research targets sensor networks that must "funnel" a sudden impulse of data that is generated due to an anomalous event such as an earthquake, terrorist attack, flood, or fire. The objective is to understand, from a fundamental standpoint, how to design sensor networks to adequately handle these impulses of data.The PIs explore four fundamental areas that must be addressed by these types of networks for this scenario:* Topological layout (density) of sensors to optimize battery resources during funneling.* Persistence of data waiting to be funneled as nodes fail* Compression of data en-route to the collection points during funneling.* Reliability of delivery of data en-route to the collection points during funnelingThe research will produce fundamental, mathematical models that will be used to solve these problems in an analytical context. The results will be of use to more practically-oriented research that seeks to implement and experiment with actual hardware and software solutions.The availability of dense sensor networks that are robust and can effectively funnel impulses will have great impact on demanding sensing application areas such as disaster response and recovery, fire fighting, and emergency response. In addition, the techniques that are developed within this research will play a crucial role in defining foundations for future dense sensor networks, providing the basis for a new class of sensing applications in these critically important areas.Research results will be disseminated through technical and popular publications in top conferences.