SBIR Phase I: Unified, information based sensor network infrastructure.

SBIR 第一阶段：统一的、基于信息的传感器网络基础设施。

• 批准号: 0712591
• 负责人: Robert Welch
• 金额: $ 9.99万
• 依托单位: iPeaksData Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0712591&HistoricalAwards=false
• 关键词: SBIR; Phase; Unified; information; based

This Small Business Innovative Research (SBIR) Phase I project brings a unified, information-based design to wireless sensor network (WSN) infrastructure architecture. Because WSNs sacrifice reliability over the greater density of the sensors and lower network setup costs compared to traditional sensor networks, these networks are characterized by severe resource constraints and uncertainty regarding power, communication and computation. Such conditions can result in latency and lack of coordination between infrastructure message routing and other decisions that protect and preserve the network and the applications fusion and information seeking actions. The proposed unified architecture enhances a tight coupling between communication and application by influencing spanning tree algorithms to consider efficiency in inference as important as efficiency in communication, to limit information flows to those that enhance the fused information state through the feedback of the application level fusion and eliminate the redundant data at the sensor source, and to decompose, embed, and distribute the application among the processing nodes of the sensor network. The expected end result will enhance autonomous decision making with much reduced latency, making for more responsive, adaptable applications. The broad impact of this project is to provide software for the backbone infrastructure in high value, high-risk applications of sensor networks. This architecture will enhance the development of sensor networks in remote, even hostile environments as well as impossible to wire and difficult sensing applications. The industrial range of wireless sensor networks is very broad, from military to medicine, and the uniqueness of applications unconstrained by wires is likely to grow as well. Additionally, the impact ofthis work will provide a better understanding of how the limits of communication resources lead to poorly coordinated and latent decisions and the knowledge of how to better organize communication and analysis within human organizations, especially in the homeland security and intelligence community.

这个小型企业创新研究（SBIR）第一阶段项目为无线传感器网络（WSN）基础设施架构带来了统一的、基于信息的设计。由于无线传感器网络牺牲了更大密度的传感器和更低的网络设置成本相比，传统的传感器网络的可靠性，这些网络的特点是严重的资源约束和不确定性的电源，通信和计算。这种情况可能导致延迟和基础设施消息路由与保护和维护网络的其他决策之间缺乏协调，以及应用程序融合和信息搜索动作。所提出的统一架构通过影响生成树算法来增强通信和应用之间的紧密耦合，以将推理效率考虑为与通信效率同样重要，将信息流限制为通过应用级融合的反馈增强融合信息状态的信息流，并消除传感器源处的冗余数据，并将信息流分解、嵌入，并且在传感器网络的处理节点之间分发应用。预期的最终结果将增强自主决策能力，大大减少延迟，从而实现响应速度更快、适应性更强的应用程序。该项目的广泛影响是为传感器网络的高价值，高风险应用中的骨干基础设施提供软件。这种架构将促进传感器网络在远程甚至恶劣环境中的发展，以及无法布线和难以感知的应用。无线传感器网络的工业范围非常广泛，从军事到医学，并且不受电线限制的应用的独特性也可能会增长。此外，这项工作的影响将使人们更好地了解通信资源的限制如何导致协调不良和潜在的决策，以及如何更好地组织人类组织内部的通信和分析，特别是在国土安全和情报界。