Integrated Sensing: Network Support for Distributed Sensing Applications

集成传感：分布式传感应用的网络支持

• 批准号: 0225448
• 负责人: Gustavo de Veciana
• 金额: $ 15万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2005-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0225448&HistoricalAwards=false
• 关键词: Integrated; Sensing; Network; Support; Distributed

At the core of the next generation of networking applications and technologies lies the potential of embedding sensing and actuating capabilities in the network so as to support a variety of monitoring and controls applications. In this proposal we target applications that require stringent quality of service guarantees, e.g., applications needing global snapshot(s) of the state of a physical attribute,or requiring correlating various such attributes. For example, one might jointly track the wind speed and the density of a given pathogen to create evolution models. To support such applications while achieving high sensor utilization we propose to investigate two complementary problems:(1) What are fundamental characteristics and requirements ofestimation and control applicationsdrawing spatio-temporal data from networked sensors; and(2) What types of network support, e.g., sensing `primitives' and resource/traffic management mechanisms will be critical to enable wide-spread shared usage of such networks.Due to the expected heterogeneity of sensor networksand possible mismatch between a sensor's `capacity' to processqueries and the network bandwidth delay product,achieving timely coordinated responses from a potentially largeset of sensors shared by multiple users may be difficult.This is exacerbated by the inherent asymmetry of communications associated with such sensing activities, i.e., one-to-many queries resulting in many-to-one sensor responses. As a result one can expect unpredictable bursts of traffic, network hot spots, and degradation in performance. As part of the proposed researchwe will investigate these problems from the perspective ofthe applications, the network and the sensors.

下一代网络应用程序和技术的核心是将传感和驱动功能嵌入网络中的潜力，以支持各种监视和控制应用程序。 在此提案中，我们针对需要严格的服务保证的应用程序，例如，需要物理属性状态的全局快照或需要关联各种此类属性的应用程序。 例如，一个人可能会共同跟踪给定病原体创建进化模型的风速和密度。 为了支持此类应用，在实现高传感器利用率的同时，我们建议研究两个互补问题：（1）哪些基本特征和要求是估计和控制应用程序，从网络传感器中抽出时空数据； （2）例如，传感“原始人”和资源/流量管理机制的哪种类型的网络支持对于能够在传感器网络的预期异质性的预期异质性和传感器之间可能的不匹配的预期异质性的情况下，将传感器的“能力”之间的“能力”之间的多种范围与网络延迟的响应范围内的及时范围内的warl量相同，至关重要。困难。与此类传感活动相关的通信的固有不对称性，即一对多的查询，导致多对一的传感器响应。 结果，人们可以期望无法预测的流量，网络热点和性能​​下降。作为拟议的研究的一部分，我们将从应用程序，网络和传感器的角度研究这些问题。