CRI: ENSL: Experimental Network of Sensors Lab for advancing research in sensed-data collection, integration, management, and analysis?

提案#：CNS07-09437PI(S)：Soliman，Handy S.Liebrock，Lorie M.；Mazumdar，Subhasish；Mukkamala，斯里尼瓦斯；Shin，东南研究所：新墨西哥州矿业和技术研究所，NM 87801-4796标题：ENSL：推进传感数据收集、集成、管理和分析研究的传感器实验室实验网络该项目在4层构建一个多层网络，旨在解决与从传感器网络获取和分析数据有关的问题，前提是网络拓扑和数据处理层次应该匹配。因此，随着来自传感器节点的数据移动到领域中的领导节点，并从那里移动到更强大的数据收集节点，它被分阶段转换：从数据到信息(例如，数据聚合)，然后从信息到知识(例如，空间和时间趋势)，最后从知识到智能，即决策(基于软计算和其他模型加上对过去决策的分析)。第1层到第4层描述层次结构，并将它们与不同的计算能力、连接性和研究问题相关联。第1层和第2层将专注于节点之间的能源感知传输，开发传感器安全框架，研究和应用融合技术，并试验网络协议。第3层和第4层的节点将用于动态控制第1层和第2层传感器的操作，例如，通过基于风险分析改变密码参数，以及通过改变传输要求以促进节能，同时权衡数据质量。强大的多处理器Tier 4节点将用于试验模拟和数据挖掘算法，这些算法将产生关于感测数据和网络本身环境(例如入侵检测)的决策。这一层还将提供可视化，这是理解和抽象整个传感器网络的关键资源。广泛影响：该项目能够实现来自网络、数据管理、可视化、并行计算、安全和数据挖掘的思想的交叉滋养，为研究人员创造新的工具和软件组件。ENSL还将推出新课程，丰富现有课程。此外，还计划为高中生开设暑期课程。

Proposal #: CNS 07-09437PI(s): Soliman, Handy S. Liebrock, Lorie M.; Mazumdar, Subhasish; Mukkamala, Srinivas; Shin, DongwanInstitution: New Mexico Institute of Mining and Technology Socorro, NM 87801-4796Title: ENSL: Experimental Network of Sensors Lab for Advancing Research in Sensed-Data Collection, Integration, Management, and AnalysisThis project, building a multi-tier network in 4 layers, aims to tackle problems related to the acquisition and analysis of data from a network of sensors with the premise that the network topology and the data processing hierarchy should be matched. Thus, as data from sensor nodes moves to leader nodes in the field and thence to more powerful data collection nodes, it gets transformed in phases: from data to information (e.g., data aggregation), then from information to knowledge (e.g., spatial and temporal trends), and finally from knowledge to intelligence, i.e., decisions (based on soft computing and other models plus analysis of past decisions). Tiers 1 through 4 describe the hierarchy and associate them with different computing power, connectivity, and research problems. Tiers 1 and 2 will focus on energy-aware transmission between nodes, develop a security framework for sensors, study and apply fusion techniques, and experiment with network protocols. Nodes at Tiers 3 and 4 will be used to dynamically control the operations of Tiers 1 and 2 sensors, e.g., by altering cryptographic parameters based on risk analysis, and by changing transmission requirements to promote energy preservation while trading off data quality. The powerful multi-processor Tier 4 nodes will be used to experiment with simulations and data mining algorithms that result in the decisions about the sensed data, and about the environment of the network itself (e.g., intrusion detection). This Tier will also provide visualization, a critical resource for comprehension and abstraction of the full sensor network.Broader Impacts: Enabling cross-fertilization of ideas from networking, data management, visualization, parallel computing, security, and data mining, the project creates new tools and software components for researchers. ENSL will also introduce new courses and enrich those existing. Moreover, summer courses are planned to reach high school students.