NeTS-NOSS: Funneling Impulses in Sensor Networks

NeTS-NOSS：传感器网络中的漏斗脉冲

• 批准号: 0435168
• 负责人: Nicholas Maxemchuk
• 金额: $ 75万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0435168&HistoricalAwards=false
• 关键词: NeTS; NOSS; Funneling; Impulses; Sensor

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.

提案编号：0435168 PI： Nicholas Maxemchuk机构： 哥伦比亚大学名称：传感器网络中的Funterm Impulses摘要：该基金的研究目标是传感器网络，必须“漏斗”的数据，是由于异常事件，如地震，恐怖袭击，洪水或火灾产生的突然脉冲。 我们的目标是从基本的角度来理解如何设计传感器网络来充分处理这些数据脉冲。PI探索了这些类型的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），以优化电池资源。*当节点发生故障时，等待收集的数据的持久性 * 在收集过程中压缩传输到收集点的数据。*在漏斗过程中向收集点传递数据的可靠性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。 这些结果将有助于更注重实际的研究，旨在实现和实验实际的硬件和软件解决方案。可靠且能够有效地收集脉冲的密集传感器网络的可用性将对要求苛刻的传感应用领域产生巨大影响，例如灾难响应和恢复，消防和应急响应。此外，在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。研究成果将通过顶级会议的技术和流行出版物传播。