NeTS-NOSS: Funneling Impulses in Sensor Networks

提案编号：0435168PI: Nicholas Maxemchuk机构：哥伦比亚大学标题：传感器网络中的漏斗脉冲摘要：该资助的研究目标是传感器网络必须“漏斗”由于异常事件（如地震，恐怖袭击，洪水或火灾）产生的数据的突然脉冲。目标是从基础的角度理解如何设计传感器网络来充分处理这些数据脉冲。在这种情况下，pi探索了这些类型的网络必须解决的四个基本领域：*传感器的拓扑布局（密度），以优化漏斗过程中的电池资源。*当节点失败时等待被漏斗化的数据的持久性*在漏斗化期间，在到收集点的途中压缩数据。研究将产生基本的数学模型，用于在分析环境中解决这些问题。结果将用于更实际导向的研究，寻求实现和实验实际的硬件和软件解决方案。密集的传感器网络鲁棒性强，能够有效地汇集脉冲，这将对诸如灾害响应和恢复、消防和应急响应等要求苛刻的传感应用领域产生重大影响。此外，在本研究中开发的技术将在定义未来密集传感器网络的基础方面发挥至关重要的作用，为这些至关重要的领域的新型传感应用提供基础。研究成果将通过技术和流行出版物在顶级会议上传播。

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.