课题基金 / 基金详情

CISE-RR: Wireless Sensor Networks: Middleware and Applications

CISE-RR: Wireless Sensor Networks: Middleware and Applications
CISE-RR:无线传感器网络:中间件和应用程序
批准号:
0423386
负责人:
Yi Shang
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2004-09-01 至 2008-08-31

项目摘要

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中文摘要
翻译
该项目开发用于构建高度异构性的无线传感器网络(WSN)的中间件,提出创建机制来帮助制定、通信和协调WSN中的复杂任务。该设施由资源稀缺和资源丰富的传感器/执行器构建,支持以下应用:用于打击农业恐怖主义的环境监测、国土安全监测和用于改善医疗保健的患者监测。由于无线传感器网络本质上高度异构性,中间件将以集成的方式开发,支持基于传感的应用程序的开发、维护、部署和执行。这项工作包括制定复杂的传感任务、将任务传递给各个传感器节点、合并和处理来自各个传感器节点的低级别传感器读数以获得所需的高级结果、将结果报告给用户、设计高能效的分布式压缩和传输技术以及开发网络友好的媒体安全解决方案的机制。目前存在两类传感设备:一类是加州大学伯克利分校开发的资源节约型(低成本、低功耗)传感设备,如加州大学伯克利分校开发的微尘和智能粉尘;另一类是以资源丰富的多媒体传感器为代表的,如摄像机和麦克风。该基础设施将允许各种类型的传感器共存,并使用多种传感方式,以实现坐标系统的能力和性能。该项目包括以下活动:无线传感器网络的中间件开发,无线传感器网络的自适应优化作为中间件服务,优化无线传感器网络的多媒体交付,无线患者监护(WPM)的超宽带(UWB),以及用于国土安全和医疗的WSN应用。广泛影响:这项工作增强了协作研发和教育能力。该平台应该能够支持对国家安全具有潜在重要性的广泛的无线传感器网络应用。预期的影响可能在美国农业、经济、国防、国土安全和医疗保健方面感受到。
英文摘要
This project, developing middleware for building highly heterogeneous wireless sensor networks (WSNs), proposes creation of mechanisms to help formulate, communicate, and coordinate complex tasks in WSN. Constructed with both resource-lean and resource-rich sensors/actuators, the facility enables the following applications: Environmental Monitoring for Countering Agro-Terrorism, Surveillance for Homeland Security, and Patient Monitoring for Improved Healthcare.Since WSNs are highly heterogeneous in nature, the middleware will be developed in an integrated fashion, supporting the development, maintenance, and deployment, and execution of sensing-based applications. The work includes mechanisms for formulating complex sensing tasks, communicating tasks to individual sensor nodes, merging and processing low-level sensor readings from the individual sensors nodes to obtain desired high-level results, reporting results back to the user, designing energy-efficient distributed compression and transmission techniques, and developing network-friendly media security solutions. At present, two categories of sensing devices exist: one characterized as resource-lean (low-cost, low-power) sensing devices such as motes and smart dust developed in UC Berkeley, and the other represented by resource-rich multimedia sensors such as video camera and microphone. The infrastructure will allow the co-existence of various types of sensors and the use of multiple sensing modalities to achieve coordinates system capabilities and performance. The project includes the following activities: Middleware Development for Wireless Sensor Networks, Adaptive Optimization as Middleware Services for WSNs, Optimizing Multimedia Delivery over WSNs, Ultra-wideband (UWB) for Wireless Patient Monitoring (WPM), and WSN Applications for Homeland Security and Healthcare.Broader Impact: This work enhances collaborative research, development and educational capabilities. The platform should be able to support a broad range of WSN applications of potential importance to national security. Expected impact could be felt in US agriculture, economy, defense, homeland security, and healthcare.
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